Next Article in Journal
High-Mobility Group Box 1 Protein Signaling in Painful Diabetic Neuropathy
Next Article in Special Issue
Lung Cancer (LC) in HIV Positive Patients: Pathogenic Features and Implications for Treatment
Previous Article in Journal
Comparative Efficacy and Safety of Dupilumab and Benralizumab in Patients with Inadequately Controlled Asthma: A Systematic Review
Previous Article in Special Issue
The Role of the Lung’s Microbiome in the Pathogenesis and Progression of Idiopathic Pulmonary Fibrosis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Molecular Imaging of Pulmonary Inflammation and Infection

1
Department of Medicine-DIMED,Institute of Radiology, University of Padova, 35100 Padova, Italy
2
Nuclear Medicine Unit, Department of Medicine-DIMED, University of Padova, 35128 Padova, Italy
3
Padova Neuroscience Center (PNC), University of Padova, 35131 Padova, Italy
4
Azienda Unità Sanitaria Locale–IRCCS di Reggio Emilia, 42121 Reggio Emilia, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2020, 21(3), 894; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21030894
Submission received: 7 January 2020 / Revised: 27 January 2020 / Accepted: 28 January 2020 / Published: 30 January 2020
(This article belongs to the Special Issue Lung Diseases and Infections in the New Era)

Abstract

:
Infectious and inflammatory pulmonary diseases are a leading cause of morbidity and mortality worldwide. Although infrequently used in this setting, molecular imaging may significantly contribute to their diagnosis using techniques like single photon emission tomography (SPET), positron emission tomography (PET) with computed tomography (CT) or magnetic resonance imaging (MRI) with the support of specific or unspecific radiopharmaceutical agents. 18F-Fluorodeoxyglucose (18F-FDG), mostly applied in oncological imaging, can also detect cells actively involved in infectious and inflammatory conditions, even if with a low specificity. SPET with nonspecific (e.g., 67Gallium-citrate (67Ga citrate)) and specific tracers (e.g., white blood cells radiolabeled with 111Indium-oxine (111In) or 99mTechnetium (99mTc)) showed interesting results for many inflammatory lung diseases. However, 67Ga citrate is unfavorable by a radioprotection point of view while radiolabeled white blood cells scan implies complex laboratory settings and labeling procedures. Radiolabeled antibiotics (e.g., ciprofloxacin) have been recently tested, although they seem to be quite unspecific and cause antibiotic resistance. New radiolabeled agents like antimicrobic peptides, binding to bacterial cell membranes, seem very promising. Thus, the aim of this narrative review is to provide a comprehensive overview about techniques, including PET/MRI, and tracers that can guide the clinicians in the appropriate diagnostic pathway of infectious and inflammatory pulmonary diseases.

1. Introduction

Infectious and inflammatory pulmonary diseases are a leading cause of morbidity and mortality worldwide. In the United States, lung infections represent the eighth most common cause of death, with an incidence of up to 7 cases per 1000 people per year and are associated with a very high hospitalization rate [1,2]. In Europe, the annual incidence of pneumonia ranges between 1.08 and 1.7 per 1000 people per year [3], with increased mortality rate especially in elderly patients [4].
In addition to pulmonary infections, inflammatory lung diseases are very frequent, such as interstitial lung diseases [5]. Considering the significant burden of such diseases, a prompt diagnosis and early treatment represent the primary goals.
Despite the key role of radiological imaging in detecting and localizing infections or inflammations, since different diseases may cause similar patterns, morphological imaging might be not sufficient to reach the correct diagnosis. Thus, molecular imaging, adding information about the functional activity of the detected lesions, may significantly contribute to both the diagnostic process and the response to treatment. Single photon emission tomography (SPET), and positron emission tomography (PET) or PET/computed tomography (CT) and magnetic resonance imaging (MRI) are very sensitive in detecting the functional/metabolic activity of infectious or inflammatory areas, thus resulting in the useful monitoring of disease activity, mainly after treatment [6].
The aim of this narrative review is to provide a comprehensive overview about techniques and tracers that can guide the clinicians in the appropriate diagnostic pathway.
For the sake of clarity, we divided the argument in three macro areas related to the used tracers: SPET/CT, PET/CT and PET/MRI. Furthermore, two tables, Table 1 and Table 2, summarizing the main techniques and tracers that can be used for the assessment of benign lung diseases have been included.

2. SPET and SPET/CT

Several clinical studies, demonstrated that in patients with opacities detected at x-ray or CT, 67Gallium-citrate (67Ga-citrate), 111In-oxine (111In) or 99mTc hexamethyl propyleneamine-oxime (HMPAO)-labelled autologous leukocytes (white-blood-cell, WBC) scintigraphy may contribute to reach the correct diagnosis of infection or inflammation [7,8].
Despite the successful application of planar scintigraphy or SPET for inflammatory and infectious lung diseases, such techniques are affected by poor spatial resolution [9]. This limit has been partially overcome by the introduction of SPET/CT, allowing not only a precise anatomical localization of the lesions but also a more precise distinction between areas of physiological uptake and infections [10,11,12]. SPET/CT demonstrated a high sensitivity, up to 85% in inflammatory disease, especially when labelled WBC are used [13].
The use of radiolabeled WBC, 67Ga-citrate and other SPECT tracers will be discussed in the next three paragraphs.

2.1. Radiolabeled WBC

Radiolabelled leukocytes, marked in vitro and reintroduced into the circulation, provide an accurate map of the distribution of labelled WBC within the lung, allowing a robust assessment of pulmonary diseases [14,15]. The characteristics of the uptake depend on chemotaxis, number and types of labelled cells, and the prevalent cellular component involved in the inflammatory response [16].
Since most of the labelled leukocytes are neutrophils and it is well known that bacterial infections cause an immune response mediated by such cells, SPET/CT with radiolabeled WBCs is very sensitive in identifying this type of infections. Nevertheless, it has to be considered that different ranges of accuracy are reported in the literature. For instance, in a series of 13 patients, a full correspondence between the focal uptake at SPET/CT and the clinical and instrumental evidence of infection was achieved [17]. On the contrary, Cook et al. obtained an agreement only in 14 out of 27 cases of pneumonia [18]. Finally, two studies on larger populations showed that 111In-WBC SPET/CT has a sensitivity of 94% and a specificity of 64% in detecting pleural and lung infections [14], while it reported a negative predictive value equal to 99% in excluding pulmonary infections in immunocompromised patients [19].
Pulmonary application of SPET and SPET/CT with radiolabeled WBC have been used in animal models for several other diseases. For example, Audi et al. demonstrated in a murine model that 99mTc-HMPAO-WBC uptake occurs 24 h after hyperoxia-induced lung injury and such tracer might be then used as preclinical marker or during follow-up [20].
Despite the current high diagnostic value of SPET/CT and its further promising areas of application, specific challenges have to be considered. First, a recent study involving 20 patients with active bronchiectasis who underwent 99mTc-HMPAO-WBC scan showed that a segmental or lobar uptake might be due labelled leukocytes concentrated in pulmonary bronchiectasis filled of secretions rather than to pneumonia [21]. Second, an accurate interpretation and adequate correlation with clinical findings are necessary. Furthermore, from a technical point of view it is mandatory to distinguish the pathological uptake occurring 4 h after injection of the labelled tracer from the early normal diffuse pulmonary activity (i.e., background activity).
Finally, it has been shown that radiolabeled WBCs have a lower diagnostic value for opportunistic infections (e.g., Pneumocystis carinii) and/or mycobacterial infections and sarcoidosis [22,23]. For such diseases, 67Ga-citrate has provided better results [24], although in recent years it has been extensively replaced by 18F-fluorodeoxyglucose (18F-FDG)-PET/CT.

2.2. Gallium-67 Citrate

67Ga-citrate is an analogue of ferric iron that, after intravenous injection, dissociates from the citrate and binds to the plasmatic transferrin in the circulating blood. Into the extracellular space, the 67Ga complex binds with strong avidity to the lactoferrin and the siderophores, which are predominantly released by activated neutrophils and bacteria, thus causing its accumulation in areas affected by infections [25,26]. Nevertheless, considering the intense 67Ga-citrate uptake also in presence of agranulocytes, it has to be considered that, similarly to 18F-FDG, it is also absorbed by cells with an increased glucose metabolic rate [27]. For this reason, to detect opportunistic pulmonary infections and differentiate infections from Kaposi sarcoma or lymphomas in immunocompromised patients, the use of 67Ga-citrate combined with thallium-201 chloride (201Tl) has been proposed. In HIV patients with pneumonia due to Pneumocystis carinii, a diffuse homogenous pulmonary uptake occurs with 67Ga-citrate albeit not with 201Tl. On the contrary, Kaposi sarcoma shows pathologic uptake with 201Tl but not with 67Ga-citrate. Pulmonary lesions due to lymphoma demonstrate metabolic activity with both tracers [28].
Considering lung infections, patients affected by tuberculosis usually show pulmonary parenchymal and nodal pathologic uptake of 67Ga-citrate. Although 18F-FDG PET is the most widely used molecular imaging technique to assess this infection [29], 67Ga-citrate seems to have high sensitivity (83%–100%) in detecting active and inactive lesions, avoiding potential pitfalls due to malignancies, granulomatous disease, and aspergillosis [30,31,32,33,34,35,36,37,38]. The 67Ga-citrate uptake is related to activated foamy macrophages, granuloma progression and load of Mycobacterium tuberculosis both in the affected pulmonary sites and in the sputum. Late in 1976, Siemens et al demonstrated a correlation between 67Ga-citrate uptake and disease activity in 192 out of 197 patients with active tuberculosis. A progressive decrease of the metabolic activity has been also shown after three to nine months of treatment. Since none of the examined patients with inactive tuberculosis showed pathologic 67Ga-citrate uptake, it has been demonstrated that such tracer is accurate in differentiating active disease from fibrosis [30]. However, controversial results have been obtained some years later by Walsh et al. who reported 27% of specificity and 69% of positive predictive value of 67Ga-citrate for detecting active foci of tuberculosis [32]. Furthermore, Goswami et al. pointed out that ongoing treatments may reduce the sensitivity of 67Ga-citrate in tuberculotic patients [39]. It has also been demonstrated that in active pulmonary tuberculosis, 67Ga-citrate uptake correlates with the acid-fast bacilli load in the sputum [40]. According to such evidence, 67Ga-citrate has been suggested as an indicator of activated macrophages and bacterial load, guiding the prompt isolation and treatment of patients with active pulmonary disease. Recently, the association of 67Ga-citrate with 111In, using a novel dual-isotope radiolabeling approach conjugated with vaccines was successfully used in a preclinical animal model to assess the efficacy of a mucosal vaccines for tuberculosis [41].
Rizzato et al. in a multicenter European study [42] demonstrated that 67Ga-citrate scintigraphy is more sensitive than chest X-rays for sarcoidosis and that its uptake correlates with the level of angiotensin-converting enzyme (ACE). The typical signs of sarcoidosis at 67Ga-citrate imaging are the so-called lambda and panda signs. These aspects are due to the predominant uptake of the right-sided paratracheal lymph nodes and to the symmetrical uptake in the lacrimal and parotid glands, respectively. Nevertheless, these signs have a poor diagnostic sensitivity in biopsy-proven sarcoidosis patients [43,44,45] and the panda sign may occur in several other diseases (e.g., HIV, lymphomas and Sjogren’s syndrome).
SPET with 67Ga-citrate has been applied for inflammatory disorders evolving in pulmonary fibrosis (e.g., idiopathic pulmonary fibrosis (IPF), lymphoid interstitial pneumonitis), for inhalational and occupational pulmonary diseases, (e.g., asbestosis, berylliosis, coal worker pneumoconiosis), collagen vascular diseases (e.g., systemic lupus erythematosus and systemic sclerosis), and other noninfectious inflammatory disease, including pulmonary alveolar proteinosis, eosinophilic pneumonia, Wegener’s granulomatosis, and eosinophilic granuloma [46,47,48,49,50,51,52,53,54,55,56,57,58,59].
Despite the above-mentioned advantages, 67Ga-citrate is affected by several limits, such as an adverse dosimetry, long acquisition times, high number of false positives and risk of artifacts. For instance, it requires long intervals (24-72 hours) between the radiopharmaceutical injection and the acquisition [60]. Therefore, its role in clinical practice has progressively reduced, which has created space for the development of new radiopharmaceuticals.

2.3. Other SPET/CT Tracers

In addition to the use of radiolabeled WBC and 67Ga-citrate, several other molecules have been tested for investigating lung inflammatory and infectious disease by SPET/CT, in humans and in preclinical settings.
In tuberculosis or simil-tuberculotic syndromes, 99mTc-methoxyisobutylisonitrile (MIBI) [61,62] and 99mTc(V)-dimercaptosuccinic acid (DMSA) [63] have been successfully used for pulmonary and extrapulmonary involvement. In 1995, Gulaldi et al. also suggested that a 99mTc-DMSA scanning could represent a valid alternative to 67Ga-citrate [64].
Based on the expression of somatostatin receptors in the granulomatous lesions, 99mTc-EDDA-tricine-HYNIC-Tyr3-octreotate has been used as radiotracer for distinguishing between active and inactive tuberculotic lesions [65]. In 2017, Montiero et al. suggested that in pulmonary and extra-pulmonary granulomatous infections SPET/CT with radiotracer as 99mTc-EDDA-HYNIC-TOC or 111In-DTPA-octreotide may successfully differentiate active infectious lesions detected on CT from residual scar tissue [66]. As for tuberculosis, radiolabeled analogues of somatostatin, like 111In pentetreotide, have been applied for pulmonary and extra thoracic lesions due to sarcoidosis. Kwekkeboom et al. detected a pathologic uptake at SPET in 97% of 46 patients with sarcoid lesions seen on a chest X-ray [67]. Several authors comparing 67Ga-citrate with different tracers demonstrated for instance that somatostatin receptor analogues and 18F-FDG may even perform better than 67Ga-citrate for pulmonary and extrapulmonary lesions [68,69,70,71].
A recent retrospective cross-sectional study evaluated the role of 99mTc-ethambutol SPET/CT in detecting both pulmonary and extra-pulmonary tuberculotic infections, demonstrating, also in pediatric patients, high sensitivity and positive predictive value (both >90%) [72].
Foss et al. using a murine model of pulmonary tuberculosis localized areas of infection by a monoclonal antibody for tissue-bound C3 deposits [73].
In interstitial lung diseases, Zheng et al recently used the collagen-targeting agent 99mTc-CBP1495, in in-vitro and ex-vivo experiments, to assess lung fibrosis [74], being the fibrosis characterized by the pathological accumulation of collagen in the extracellular matrix.
Several preclinical studies addressed the role of different radiolabeled agents selectively binding to antibiotics (e.g., ciprofloxacin, sparfloxacin, enroflaxacin, ceftizoxime, ethambutol, fluconazole) not only for diagnosing infections and inflammatory processes, but also to distinguish one from the other and even differentiate bacterial infection from lesions caused by other pathogens [75,76]. However, some biases related to animal selection and index test, actually limit their transfer from preclinical models to humans [77].
More recently, antimicrobial peptides (AMPs) labeled with isotopes both for SPET (99mTc) and PET imaging (68Ga) have grown as more specific agents to localize infections since they specifically bind to bacterial cell membranes. In particular, ubiquicidin (UBI 29-41) has shown encouraging results in human clinical trials [78]. The use of this new category of agents is, to date, mainly limited to the preclinical phase, without strong evidence in the humans and therefore the introduction in the clinical practice seems interesting but far.
Perfusion and ventilation scintigraphy have been used also for chronic obstructive pulmonary disease (COPD) and asthma, both characterized by inflammation and bronchial obstruction. Perfusion scintigraphy is performed using radiolabeled macroaggregate particles, whereas ventilation scintigraphy is conducted by micron-sized, and submicron-sized aerosols (99mTc-labeled DTPA and 99mTc-labeled clusters of carbon particles [Technegas], respectively) or inert radioactive gases (133Xe and 81mKr).
Already in 1997, SPECT with Technegas was successfully applied on healthy volunteers to investigate airway closure [79]. Since then, several studies have explored its use for asthmatic patients. For instance, Farrow et al. demonstrated a significant correlation between severe airway hyperresponsiveness and airway closure at ventilation SPECT/CT [80]. Recently, the same group of researchers examining 14 patients with asthma showed that the ventilation is reduced in areas affected by bronchoconstriction and that the degree of such decrease can be predicted by acinar ventilation heterogeneity [81]. Overall, the role of ventilation scintigraphy for asthma can be considered complementary to functional tests and this technique can be useful for the assessment of the extension of pulmonary involvement, and for monitoring the response to treatment.
Technegas provided very interesting results also for diagnosing and grading the severity of COPD [82]. Using 99mTc-labeled DTPA, the distinction between nonsmoker COPD and asthmatic patients has been achieved in a cohort of 84 patients [Karakavus_83]. In particular, the muco-ciliary clearance, assessed by 99mTc-DTPA in terms of T ½, was significantly higher in patients with asthma than in nonsmoking COPD patients [83].

3. PET and PET/CT

PET and PET/CT are mainly used in the oncological field even if it is well known that they play a significant role also for inflammatory and infectious diseases [84,85,86,87,88,89]. Several tracers have been applied for both techniques even if 18F-FDG is the most commonly used in clinical practice. The use of 18F-FDG and other PET tracers will be discussed in the next two paragraphs.

3.1. 18F-FDG

18F-FDG is very sensitive for detecting infections and inflammations because the activated inflammatory cells increase the expression of glucose transporters (GLUT 1, GLUT 3). Moreover, cytokines and grow factors released in inflammatory sites increase the affinity of glucose transporters for the deoxyglucose. 18F-FDG uptake is proportional to the cellular metabolic rate [84,89] and binds to the majority of infection and inflammation cells such as neutrophils, lymphocytes, eosinophil and macrophages (Figure 1).
In pulmonary infections 18F-FDG-PET/CT has been applied for tuberculosis even if it is characterized by low specificity [90]. Semiquantitative measurements (i.e., standardized uptake values) have not proven to reliably distinguish between infection and pulmonary neoplastic lesions [91,92,93,94].
Several studies reported the use of 18F-FDG-PET for monitoring aspergillosis [95] and evaluating the efficacy of chemotherapy in echinococcosis [96]. Indeed, by conventional radiology, parasite viability cannot be assessed, while the detection of metabolic activity with PET may guide the treatment to prevent relapses [97,98]. Bleeker-Rovers et al. demonstrated that the decrease of 18F-FDG uptake in PET/CT scan can be applied to determine the success of antifungal therapy for lung abscess due to Candida [99].
In patients affected by sarcoidosis, 18F-FDG-PET and PET/CT can play an important role for assessing reversible granuloma, detecting occult diseases, evaluating treatment response and even indicating the most suitable site for biopsy [100,101]. In particular in stage IV that is characterized by fibrosis and mass-like lesions, 18F-FDG uptake of reversible granulomas plays a key role in the diagnostic and therapeutic approach [102,103].
To date, only a small number of subjects with either chronic obstructive pulmonary disease or cystic fibrosis have been evaluated with 18F-FDG-PET or PET/CT, but the available data suggest that 18F-FDG-PET can quantify lung inflammation levels and may thus be a useful biomarker of inflammatory cell activity. 18F-FDG uptake may also serve as a biomarker for treatment response to antibiotic therapy, showing a rapid reduction of 18F-FDG uptake in patients with acute exacerbations [104,105].
Finally, 18F-FDG-PET/CT, combining morphological and anatomical information, is very useful in assessing the extent of extrapulmonary involvement [106].
The high metabolic rate associated with acute and chronic inflammatory lung diseases, makes 18F-FDG especially suitable for assessing and even quantifying the activity of different diffuse or focal inflammatory pulmonary diseases (e.g., smoking-related disease, asthma, cystic fibrosis, organizing pneumonia, IPF, non-specific interstitial pneumonia) [107,108] (Figure 2). 18F-FDG uptake can be detected when neutrophils are activated and sequestered within the lungs before their trans-endothelial migration into airways. For this reason, 18F-FDG -based techniques can be applied for diagnosing acute lung injury or acute rejection of lung graft [109].
In particular, regarding COPD, a very recent article demonstrated in this group of patients a significant correlation between the metabolic activity of respiratory muscles at 18F-FDG-PET/CT and pulmonary function tests [110]. Such evidence unveils a new field of application of this technique.
Furthermore, the oxidative stress, as determinant inflammation factor, may cause pathologic uptake in case of acute rejection or bronchiolitis obliterans after lung transplant as well as for acute lung injury and acute respiratory distress syndrome [111,112].

3.2. Other PET/CT Tracers

Besides 18F-FDG, other tracers have been tested for pulmonary PET and PET/CT imaging. For instance, 11C-choline, 18F-fluoroethylcholine (18F-FEC), 30-deoxy-30-(18F) fluoro-l-thymidine (18F-FLT), 68Ga-citrate, 68Ga-peptides, (18F) sodium fluoride (18F-NaF), and radiolabeled anti-tuberculosis drugs. In particular, 11C- choline and 18F-FEC being analogues of lipids are incorporated into the wall of the Mycobacterium. 11C-Choline has also been applied to differentiate lung cancer from active tuberculosis but with controversial results [113,114,115].
18F-FLT has been tested in a small number of patients affected by sarcoidosis, showing a lower performance than 18F-FDG for the identification of extra-cardiac lesions [116].
It has been also demonstrated a correspondence between the increased uptake of 68Ga-peptides, such as 68Ga-DOTANOC, in areas of peripheral and subpleural abnormalities detected at high-resolution CT in patients with IPF. The association of 18F-FDG and 68Ga-DOTATOC PET/CT examinations could also provide a combined information about ongoing inflammation and fibroblastic process [117].
18F-NaF has been successfully applied in a murine model to detect microcalcifications not detectable at CT in mice with chronic tuberculosis [118], but clinical results are still missing.
Regarding inflammatory diseases, a recent study introduced radiolabeled fluciclatide, an arginine-glycine-aspartic acid peptide, for assessing the angiogenesis and myofibroblast differentiation that characterize the development of pulmonary fibrosis [119].
As several preclinical studies suggested, a radiotracer based on inducible nitric oxide synthase could be useful to study human lung disease but its applicability in clinical settings still needs to be further validated [120,121]. Nevertheless, Huang et al. had already successfully applied one-hour dynamic 18F-NOS PET/CT for endotoxin-induced lung inflammation in healthy volunteers [122].
As for SPET, a number of PET studies are ongoing concerning the labelling and initial clinical use of AMPs [123,124,125] mainly labeled with 68Ga. Although preliminary AMPs seems very promising in differentiating inflammation and infection.

3.3. Magnetic Resonance Imaging (MRI) and PET/MRI

MRI is a well-established technique especially suitable for the assessment of soft tissues and characterized by the extraordinary advantage, among others, of using nonionizing radiofrequency electromagnetic radiations [126,127].
Unfortunately, MRI is not the first choice for pulmonary imaging because of the low proton density of the lungs and the occurrence of movement artifacts due to heartbeats and breathing. Novel imaging techniques like parallel imaging, shared echo-technique, and rotating phase encoding permit to at least partially overcome such limitations. Nevertheless, the lack of clear indications and the necessity of protocols tailored to specific diseases still reduce its application.
Regarding the protocols, a recent review about pediatric chest MRI suggested that fast breath-hold T1 and T2-weighted (T1w and T2w, respectively) images and free breathing steady state free precession sequences provide adequate anatomical and pathological information with a short scan time. Furthermore, it has been shown that respiratory triggered T2-weighted sequences can replace breath-hold sequences in patients with respiratory difficulties or infant, while short tau inversion recovery (STIR) can enhance differences in the signal intensity of pathological areas [126].
Applying the appropriate protocol, despite the above-mentioned limits, MRI demonstrated to be accurate for the assessment of pulmonary infections in animal models as well as in clinical settings [128,129,130,131,132,133,134]. Nowadays, it is well known that areas of high signal intensity on T2w images reflect the presence of intra-alveolar fluid whereas consolidation are hyperintense on T2w images and isointense on T1w images after gadolinium. Abscesses, additionally to the hyperintensity seen on T2w, show restricted diffusion at Diffusion Weighted Imaging (DWI) and rim enhancement; this latter finding is usually absent in case of necrosis. Simple pleural effusion is hyperintense on T2w and hypointense on T1w images, while in case of empyema the pleura appears thickened, shows septa, enhancement and restricted diffusion [129,135,136,137,138].
Some typical CT signs of pulmonary diseases have a direct correspondence on MRI. For instance, Ekinci et al. using T2w balanced fast field echo, T1w turbo spin-echo (TSE), and T2w TSE sequences in the axial and coronal planes, detected the reverse halo sign in immunocompromised patients affected by pneumonia [139]. The same authors, nevertheless highlighted that an accurate diagnosis of tree-in-bud nodules, centrilobular nodules, halo sign and nodules overall, especially if very small, is still challenging at MRI [139].
Ozcan et al. demonstrated that using a radial acquisition method (i.e., BLADE sequence) a higher sensitivity for nodules, ground-glass opacities and consolidation, compared to half-Fourier acquisition single-shot turbo spin-echo, volumetric interpolated breath-hold examination and Fast low angle shot magnetic resonance imaging [140] can be achieved and spectral adiabatic inversion recovery and high resolution isotropic volume examination after contrast are suitable for the evaluation of invasive fungal infection [141]. Moreover, other useful tools such as intravoxel incoherent motion–derived parameters and apparent diffusion coefficient, can be applied for diagnostic purposes, allowing for example the prediction of the treatment response to fungal infection [142].
MRI allows also a distinction between malignant tumors and tuberculomas, having the latter a significantly lower signal intensity on T2w [143,144]. Chung et al. suggested the use of volume-interpolated three-dimensional gradient echo T1w for diagnosing Mycobacterium avium complex pneumonia since it not only allows a robust evaluation of pulmonary nodules and masses but increases the contrast and minimizes the acquisition time and partial volume averaging [145].
Considering other infectious diseases, MRI still has a low specificity for aspergillosis in the early stage, but its diagnostic value is higher in the later stages of the diseases since it well demonstrated the target sign with rim enhancement [146,147].
Considering pulmonary inflammatory diseases, fluid-sensitive sequences are very useful in demonstrating active processes [148] and overall MRI allows the characterization of the extent of the diseases and the differentiation between acute inflammation and fibrosis [149,150,151,152,153].
For instance, in interstitial lung diseases, which are characterized by inflammation and fibrotic remodeling [154], the development of quantitative MRI techniques could help distinguishing between the two components evaluating the differences in relaxation time [155,156,157]. Similarly, it has been shown that ground glass opacities, reticulation and honeycombing have different T2 relaxation values and that T2 values significantly increase with fibrosis. Thus, T2 mapping could play a role in monitoring interstitial lung diseases [158,159]. Moreover, in patients affected by non-specific interstitial pneumonia the T2 relaxation significantly differs between active and stable fibrotic patients [160]. The injection of gadolinium may contribute to the diagnostic process of inflammatory diseases, since the endothelial injury allows the extravascular flow of contrast medium [161].
For the assessment of fibrosis, a gadolinium-based probe targeted to type I collagen (e.g., EP-3533) was successfully applied for diagnosing early disease and monitoring lung fibrosis in an animal model [162,163].
MRI was increasingly applied also in patients with asthma, demonstrating the occurrence of segmental lung edema and being a robust method for monitoring the response to treatment. [164,165,166,167]. Furthermore, it has been shown that hyperpolarized gases allow the evaluation of functional changes in distal small airways of asthmatic patients. In particular, using an isotope of helium (i.e., 3HE), hyperpolarized through a circularly polarized laser light and administered as inhalation contrast media, lung airspaces can be assessed, and ventilation defects diagnosed since they appear as signal voids [168,169,170,171,172,173,174].
In specific clinical conditions like cystic fibrosis, MRI can be even preferable than CT, despite the lack of details, given the risk associated with long term radiation exposure associated with multiple CT scans. MRI has already proven to be reliable in the evaluation of structural changes like bronchiectasis, wall thickening, mucus plugging, and infiltrates [126,171,172,173] and novel sequences such as ultrashort or zero echo time and multiparametric-functional imaging are expected to provide additional information (Figure 3). Furthermore, scores based on Diffusion weighted imaging demonstrated to strongly correlate with the severity of the disease and the amount of mucus [174] as well as of being associated with symptoms scores, spirometry measurements and inflammation during disease’s exacerbation [164,175,176]. Hyperpolarized gases such as 129Xe showed inhomogeneous ventilation patterns with areas of lacking ventilation in such patients [177].
According to the recent above-mentioned evidence, MRI is progressively becoming a valid radiation-free alternative that will increasingly be applied in the next years, taking full advantage of all technological progresses and of the expanding use of hybrid techniques, such as PET/MRI [129,138,178,179,180,181,182,183,184] (Figure 4).
Indeed, PET/MRI, providing simultaneous metabolic and functional information, is a robust technique with a broad spectrum of applications especially in the oncological field. Also for pulmonary imaging, it has been successfully applied for the assessment of primary and metastatic lesions [185,186,187,188,189,190]. Regarding infectious diseases, in a recent study, 18F-FDG-PET/MR showed a similar performance than PET/CT in detecting pulmonary lesions due to tuberculosis [191]. Nevertheless, further research, including multicenter research trials, is needed for establishing the role of this diagnostic tool for inflammatory and infectious lung diseases.

4. Future Perspectives

The upcoming technical progress in molecular imaging and the transposition into clinical settings of the knowledge gained in experimental preclinical studies are expected to change our perspectives and introduce new diagnostic tools for pulmonary imaging [127,180].
For instance, we may expect the application of 19F markers, such as perfluorcarbon compounds, which allow to track stem and immune cells. Indeed, in experimental disease models, it has been demonstrated that taking advantage of the negligible 19F background signal, inflammation can be assessed [192,193].
Furthermore, fluorescence and bioluminescence, using the optical properties of tissues originated from biochemical reactions and biological processes, through the use of fluorochromes, reporter genes and optical contrast agents, will favor even greater versatility in nuclear imaging, although to date clinical applications for optical imaging are still missing [194,195].

5. Conclusions

In conclusion, molecular imaging could potentially play a key role for inflammatory and infectious pulmonary diseases. SPET and SPET/CT using radiolabeled WBC allow for the characterization of pneumonia, while tuberculosis and inflammatory disease have been historically assessed using 67Ga-citrate. However, for radioprotection reasons and worldwide availability, 67Ga-citrate will be presumably abandoned. 18F-FDG-PET/CT, providing information about the glucose metabolism, is highly reliable to detect active lesions for several types of lung diseases like tuberculosis, sarcoidosis and inflammatory disease in general, but the low specificity represents an important limitation. We could hypothesize that radiolabeled (probably with 68Ga) AMPs, specifically binding to bacterial cell membranes could, in the future, be used as a second line after 18F-FDG to increase specificity of the diagnostic process. In addition, we expect an increasing application of MRI and PET/MRI in this setting.

Author Contributions

Conceptualization: C.G., E.Q., D.C. Data curation: L.E., D.C., M.C. Investigation: C.G., A.S.F., A.L. Writing—Draft Preparation: C.G., A.S.F., A.L., L.E. Writing—Review & Editing: L.E., C.G., D.C., E.Q., M.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

We acknowledge the support from the study group on infectious diseases of the Italian Association of Nuclear Medicine (AIMN).

Conflicts of Interest

None of the Authors has any conflict of interest to declare.

References

  1. Marrie, T.J.; Huang, J.D. Epidemiology of community-acquired pneumonia in Edmonton, Alberta: an emergency department-based study. Can. Respir. J. 2005, 12, 139–142. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Ramirez, J.A.; Wiemken, T.L.; Peyrani, P.; Arnold, F.W.; Kelley, R.; Mattingly, W.A.; Nakamatsu, R.; Pena, S.; Guinn, B.E.; Furmanek, S.P.; et al. Adults Hospitalized With Pneumonia in the United States: Incidence, Epidemiology, and Mortality. Clin. Infect. Dis. 2017, 65, 1806–1812. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Torres, A.; Peetermans, W.E.; Viegi, G.; Blasi, F. Risk factors for community-acquired pneumonia in adults in Europe: a literature review. Thorax 2013, 68, 1057–1065. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Trotter, C.L.; Stuart, J.M.; George, R.; Miller, E. Increasing hospital admissions for pneumonia, England. Emerg. Infect. Dis. 2008, 14, 727–733. [Google Scholar] [CrossRef] [PubMed]
  5. Navaratnam, V.; Fleming, K.M.; West, J.; Smith, C.J.; Jenkins, R.G.; Fogarty, A.; Hubbars, R.B. The rising incidence of idiopathic pulmonary fibrosis in the UK. Thorax 2011, 66, 462–467. [Google Scholar] [CrossRef] [Green Version]
  6. Dimastromatteo, J.; Charles, E.J.; Laubach, L.E. Molecular imaging of pulmonary diseases. Resp. Res. 2018, 19, 1–17. [Google Scholar] [CrossRef] [Green Version]
  7. Kao, C.H.; Wang, S.J.; Liao, S.Q.; Lin, W.Y.; Hsu, C.Y. Usefulness of gallium-67-citrate scans in patients with acute disseminated tuberculosis and comparison with chest x-rays. J. Nucl. Med. 1993, 34, 1918–1921. [Google Scholar]
  8. Forstrom, L.A.; Loken, M.K.; Cook, A.; Chandler, R.; McCullough, J. In-111-labeled leukocytes in the diagnosis of rejection and cytomegalovirus infection in renal transplant patients. Clin. Nucl. Med. 1981, 6, 146–149. [Google Scholar] [CrossRef]
  9. Bar-Shalom, R.; Yefremov, N.; Guralnik, L.; Keidar, Z.; Engel, A.; Nitecki, S.; Israel, O. SPET/CT using 67Ga and 111In-labeled leukocyte scintigraphy for diagnosis of infection. J. Nucl. Med. 2006, 47, 587–594. [Google Scholar]
  10. Ingui, C.J.; Shah, N.P.; Oates, M.E. Infection scintigraphy: added value of single-photon emission computed tomography/computed tomography fusion compared with traditional analysis. J. Comput. Assist. Tomogr. 2007, 31, 375–380. [Google Scholar] [CrossRef]
  11. Grubstein, A.; Bernstine, H.; Steinmetz, A.P. Chest CT and gallium-67 SPET scintigraphy scan co-registration in a post-heart transplantation patient with unresolved fever. Isr. Med. Assoc. J. 2007, 9, 827–828. [Google Scholar] [PubMed]
  12. Bajaj, S.K.; Seitz, J.P.; Qing, F. Diagnosis of acute bacterial prostatitis by Ga-67 scintigraphy and SPET-CT. Clin. Nucl. Med. 2008, 33, 813–815. [Google Scholar] [CrossRef] [PubMed]
  13. Schuster, D.M.; Alazraki, N. Gallium and other agents in diseases of the lung. Semin. Nucl. Med. 2002, 32, 193–211. [Google Scholar] [CrossRef] [PubMed]
  14. Segall, G.M.; McDougall, I.R. Diagnostic vale of lung uptake of indium-111 oxine-labeled white blood cells. Am. J. Roentgenol. 1986, 147, 601–606. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Love, C.; Opoku-Agyemang, P.; Tomas, M.B.; Pugliese, P.V.; Bhargava, K.K.; Palestro, C.J. Pulmonary Activity on Labeled Leukocyte Images: Physiologic, Pathologic, and Imaging Correlation. Radiographics 2002, 22, 1385–1393. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Signore, A.; Jamar, F.; Israel, O.; Buscombe, J.; Martin-Comin, J.; Lazzeri, E. Clinical indications, image acquisition and data interpretation for white blood cells and anti-granulocyte monoclonal antibody scintigraphy: An EANM procedural guideline. Eur. J. Nucl. Med. Mol. Imaging. 2018, 10, 1816–1831. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. McAfee, J.G.; Samin, A. In-111 labeled leukocytes: A review of problems in image interpretation. Radiology 1985, 155, 221–229. [Google Scholar] [CrossRef]
  18. Cook, P.S.; Datz, F.L.; Disbro, M.A.; Alazraki, N.P.; Taylor, A.T. Pulmonary uptake in indium-111 leukocyte imaging: clinical significance in patients with suSPETed occult infections. Radiology 1984, 150, 557–561. [Google Scholar] [CrossRef]
  19. Love, C.; Tomas, M.B.; Palestro, C.J. Pulmonary activity on labelled leukocyte images: Patterns of uptake and their significance. Nucl. Med. Commun. 2002, 23, 559–563. [Google Scholar] [CrossRef]
  20. Audi, S.H.; Clough, A.V.; Haworth, S.T.; Medhora, M.; Ranji, M.; Densmore, J.C.; Jacobs, E.R. 99MTc-Hexamethylpropyleneamine Oxime Imaging for Early Detection of Acute Lung Injury in Rats Exposed to Hyperoxia or Lipopolysaccharide Treatment. Shock 2016, 46, 420–430. [Google Scholar] [CrossRef]
  21. Altiay, G.; Çermik, T.F. 99mTc-HMPAO labelled white blood cell scintigraphy in the diagnosis and monitoring of response of the therapy in patients with active bronchiectasis. Rev. Esp. Med. Nucl. Imagen. Mol. 2012, 31, 9–14. [Google Scholar] [PubMed]
  22. Fineman, D.; Palestro, C.J.; Kim, C.K.; Needle, L.B.; Vallabhajosula, S.; Solomon, R.W.; Goldsmith, S.J. Detection of abnormalities in febrile AIDS patients with In-111-labeled leukocyte and GA-67 scintigraphy. Radiology 1989, 170, 677–680. [Google Scholar] [CrossRef] [PubMed]
  23. Palestro, C.J.; Schultz, B.L.; Horowitz, M.; Swyer, A.J. Indium-111-leukocyte and gallium-67 imaging in acute sarcoidosis: Report of two patients. J. Nucl. Med. 1992, 33, 2027–2029. [Google Scholar] [PubMed]
  24. Lavender, J.P.; Lowe, J.; Barker, J.R.; Burn, J.I.; Chaudhri, M.A. Gallium 67 citrate scanning in neoplastic and inflammatory lesions. Br. J. Radiol. 1971, 44, 361–366. [Google Scholar] [CrossRef] [PubMed]
  25. Hoffer, P.B.; Huberty, J.; Khazan-Bushi, H. The association of 67Ga and lactoferrin. J. Nucl. Med. 1977, 18, 713–717. [Google Scholar] [PubMed]
  26. Tsan, M.F.; Chen, W.Y.; Scheffel, U.; Menon, S.; Wagner, H. Mechanism of gallium localization in inflammatory lesions. J. Nucl. Med. 1977, 18, 619. [Google Scholar]
  27. Higashi, T.; Kobayashi, M.; Wakao, H.; Jinbu, Y. The relationship between 67Ga accumulation and ATP metabolism in tumor cells in vitro. Eur. J. Nucl. Med. 1989, 15, 152–156. [Google Scholar] [CrossRef] [PubMed]
  28. Turoglu, T.H.; Akisik, M.F.; Naddag, S.Y.; Omar, W.S.; Kempf, J.S.; Abdel-Dayem, H.M. Tumor and Infection Localization in AIDS Patients: Ga-67 and Tl-201 Findings. Clin. Nucl. Med. 1998, 23, 446–459. [Google Scholar] [CrossRef]
  29. Gambhir, S.; Ravina, M.; Rangan, K.; Dixit, M.; Barai, S.; Bomanji, J.; International Atomic Energy Agency Extra-pulmonary TB Consortium. Imaging in extrapulmonary tuberculosis. Int. J. Infect. Dis. 2017, 56, 237–247. [Google Scholar] [CrossRef] [Green Version]
  30. Siemsen, J.K.; Grebe, S.F.; Sargent, E.N.; Wentz, D. Gallium-67 scintigraphy of pulmonary diseases as a complement to radiography. Radiology 1976, 118, 371–375. [Google Scholar] [CrossRef]
  31. Siemsen, J.K.; Grebe, S.F.; Waxman, A.D. The use of gallium-67 in pulmonary disorders. Semin. Nucl. Med. 1978, 8, 235–249. [Google Scholar] [CrossRef]
  32. Walsh, T.J.; Bekerman, C.; Chausow, A.; Szidon, P. The value of gallium-67 scanning in pulmonary tuberculosis. Am. Rev. Respir. Dis. 1985, 132, 746–747. [Google Scholar] [PubMed]
  33. Santin, M.; Podzamczer, D.; Ricart, I.; Mascaro, J.; Ramon, J.M.; Dominguez, A.; Rufi, G.; Gudiol, F. Utility of the gallium-67 citrate scan for the early diagnosis of tuberculosis in patients infected with the human immunodeficiency virus. Clin. Infect. Dis. 1995, 20, 652–656. [Google Scholar] [CrossRef] [PubMed]
  34. Goldfarb, C.R.; Colp, C.; Ongseng, F.; Finestone, H.; Havas, J. Gallium scanning in the ‘new’ tuberculosis. Clin. Nucl. Med. 1997, 22, 470–474. [Google Scholar] [CrossRef] [PubMed]
  35. Lai, F.M.; Liam, C.K.; Paramsothy, M.; George, J. The role of 67gallium scintigraphy and high resolution computed tomography as predictors of disease activity in sputum smear-negative pulmonary tuberculosis. Int. J. Tuberc. Lung. Dis. 1997, 1, 563–569. [Google Scholar]
  36. Utsunomiya, K.; Narabayashi, I.; Nishigaki, H.; Tsujimoto, K.; Kariyone, S.; Ohnishi, S. Clinical significance of thallium-201 and gallium-67 scintigraphy in pulmonary tuberculosis. Eur. J. Nucl. Med. 1997, 24, 252–257. [Google Scholar]
  37. Ergün, P.; Turay, U.Y.; Ortapamuk, H.; Biber, C.; Keyf, I.A.; Çayan, C.; Erdoğan, Y. The role of gallium-67 scintigraphy and high resolution computed tomography as predictors of disease activity in sputum smear negative pulmonary tuberculosis. Turk. Respir. J. 2003, 4, 123–126. [Google Scholar]
  38. Sultana, S.; Buscombe, J.R.; Hilson, A.J. In pyrexia resulting from occult tuberculosis Ga-67 citrate is still more sensitive than newer agents such as Tc-99m selusomab. Clin. Nucl. Med. 2005, 30, 414–415. [Google Scholar] [CrossRef]
  39. Goswami, G.K.; Jana, S.; Santiago, J.F.; Buyukdereli, G.; Salem, S.S.; Heiba, B.; Abdel-Dayem, H.M. Discrepancy between Ga-67 citrate and F-I8 fluorodeoxyglucose positron emission tomographic scans in pulmonary infection. Clin. Nucl. Med. 2000, 25, 490–491. [Google Scholar] [CrossRef]
  40. Hsu, C.C.; Huang, Y.C.; Chuang, Y.W.; Lee, T.L.; Yeh, J.J. Association between gallium-67 uptake by lung foci and sputum smear status in patients with pulmonary tuberculosis. Nucl. Med. Commun. 2012, 33, 941–946. [Google Scholar] [CrossRef]
  41. Thakur, A.; Rodriguez-Rodriguez, C.; Saatchi, K.; Rose, F.; Esposito, T.; Nosrati, Z.; Andersen, P.; Christensen, D.; Hafeli, U.O.; Foged, C. Dual-Isotope SPET/CT Imaging of the Tuberculosis Subunit Vaccine H56/CAF01: Induction of Strong Systemic and Mucosal IgA and T-Cell Responses in Mice Upon Subcutaneous Prime and Intrapulmonary Boost Immunization. Front Immunol. 2018, 30, 2825. [Google Scholar]
  42. Rizzato, G.; Blasi, A. A European survey on the usefulness of 67Ga lung scans in assessing sarcoidosis. Experience in 14 research centers in seven different countries. Ann. N. Y. Acad. Sci. 1986, 465, 463–478. [Google Scholar] [CrossRef] [PubMed]
  43. Israel, H.L.; Albertine, K.H.; Park, C.H. Whole-body gallium 67 scans. Role in diagnosis of sarcoidosis. Am. Rev. Respir. Dis. 1991, 144, 1182–1186. [Google Scholar] [CrossRef] [PubMed]
  44. Sulavik, S.B.; Spencer, R.P.; Weed, D.A.; Shapiro, H.R.; Shiue, H.R.; Castriotta, R.J. Recognition of distinctive patterns of gallium-67 distribution in sarcoidosis. J. Nucl. Med. 1990, 31, 1909–1914. [Google Scholar] [PubMed]
  45. Sulavik, S.B.; Spencer, R.P.; Palestro, C.J.; Swyer, A.J.; Teirstein, A.S.; Goldsmith, S.J. Specificity and sensitivity of distinctive chest radiographic and/or 67Ga images in the noninvasive diagnosis of sarcoidosis. Chest 1993, 103, 403–409. [Google Scholar] [CrossRef] [PubMed]
  46. Gelb, A.F.; Dreisen, R.B.; Epstein, J.D.; Silverthorne, J.D.; Bickel, Y.; Fields, M.; Border, W.A.; Taylor, C.R. Immune complexes, gallium lung scans, and bronchoalveolar lavage in idiopathic interstitial pneumonitis-fibrosis. Chest 1983, 84, 148–153. [Google Scholar] [CrossRef]
  47. Baughman, R.P.; Fernandez, M. Radionuclide imaging in interstitial lung disease. Curr. Opin. Pulm. Med. 1996, 2, 376–379. [Google Scholar] [CrossRef]
  48. Schiff, R.G.; Kabat, L.; Kamani, N. Gallium scanning in lymphoid interstitial pneumonitis of children with AIDS. J. Nucl. Med. 1987, 28, 1915–1919. [Google Scholar]
  49. Nimkin, K.; Oates, E. Gallium-67 lung uptake in extrinsic hypersensitivity pneumonitis. Clin. Nucl. Med. 1989, 14, 451–452. [Google Scholar] [CrossRef]
  50. Brown, D.G.; Aguirre, A.; Weaver, A. 67Gallium scanning in talc-induced pulmonary granulomatosis. Chest 1980, 77, 561–565. [Google Scholar] [CrossRef]
  51. Hayes, A.A.; Thickbroom, G.W.; Guelfi, G.R.; Musk, A.W.; van der Schaaf, A.A. Computer quantitation of gallium 67 lung uptake in crocidolite (blue asbestos) workers of Western Australia. Eur. J. Nucl. Med. 1990, 16, 855–858. [Google Scholar] [CrossRef] [PubMed]
  52. Deseran, M.W.; Colletti, P.M.; Ratto, D.; Ansari, A.N.; Siegel, M.E. Chronic berylliosis. Demonstration by gallium-67 imaging and magnetic resonance imaging. Clin. Nucl. Med. 1988, 13, 509–511. [Google Scholar] [CrossRef] [PubMed]
  53. Kanner, R.E.; Barkman, H.W.; Rom, W.N.; Taylor, A.T., Jr. Gallium-67 citrate imaging in underground coal miners. Am. J. Ind. Med. 1985, 8, 49–55. [Google Scholar] [CrossRef] [PubMed]
  54. Lin, R.Y. Severe spirometric defects in systemic lupus erythematosus. A possible role for bronchoalveolar lavage and gallium scanning. Clin. Rheumatol. 1987, 6, 276–281. [Google Scholar] [CrossRef] [PubMed]
  55. Baron, M.; Feiglin, D.; Hyland, R.; Urowitz, M.B.; Shiff, B. 67Gallium scans in progressive systemic sclerosis. Arthritis Rheum. 1983, 26, 969–974. [Google Scholar] [CrossRef]
  56. Yeh, S.D.; White, D.A.; Stuver-Pepe, D.E.; Caravelli, J.F.; Van Uitert, C.; Benua, R.S. Abnormal gallium scintigraphy in pulmonary alveolar proteinosis (PAP). Clin. Nucl. Med. 1987, 12, 294–297. [Google Scholar] [CrossRef]
  57. Morals, J.; Carrier, L.; Gariepy, G.; Le Bel, L.; Chartrand, R.; Picard, D. Gallium-67 pulmonary uptake in eosinophilic pneumonia. Clin. Nucl. Med. 1988, 13, 41–43. [Google Scholar]
  58. Alpert, L.I. Pulmonary uptake of gallium-67 in Wegener’s granulomatusis. Clin. Nucl. Med. 1980, 5, 53–54. [Google Scholar] [CrossRef]
  59. Javaheri, S.; Levine, B.W.; McKusick, K.A. Serial 67Ga lung scanning in pulmonary eosinophilic granuloma. Thorax 1979, 34, 822–823. [Google Scholar] [CrossRef] [Green Version]
  60. Seabold, J.E.; Palestro, C.J.; Brown, M.L.; Datz, F.L.; Forstrom, L.A.; Greenspan, B.S.; McAfee, J.G.; Schauwecker, D.S.; Royal, H.D. Procedure guideline for gallium scintigraphy in inflammation. Society of Nuclear Medicine. J. Nucl. Med. 1997, 38, 994–997. [Google Scholar]
  61. Raziei, G.; Masjedi, M.R.; Fotouhi, F.; Asli, N.I.; Shafiei, B.; Javadi, H.; Assadi, M. The role of 99mTc-MIBI scintigraphy in the management of patients with pulmonary tuberculosis. Eur. Rev. Med. Pharm. Sci. 2012, 16, 622–629. [Google Scholar]
  62. Ahmadihosseini, H.; Sadeghi, R.; Zakavi, R.; Kakhki, V.R.; Kakhki, A.H. Application of technetium-99m-sestamibi in differentiation of active from inactive pulmonary tuberculosis using a single photon emission computed tomography method. Nucl. Med. Commun. 2008, 29, 690–694. [Google Scholar] [CrossRef] [PubMed]
  63. Sun, S.S.; Kao, C.H. Demonstration of skeletal tuberculosis with Tc-99m (V) DMSA scintigraphy and a negative Ga-67 scan. Clin. Nucl. Med. 2002, 27, 539. [Google Scholar] [CrossRef] [PubMed]
  64. Gulaldi, N.C.; Bayhan, H.; Ercan, M.T.; Kiber, M.; Oztürk, B.; Oğretensoy, M.; Bekdik, C.F. The visualization of pulmonary tuberculosis with Tc-99m (V) DMSA and Tc-99m citrate in comparison to Ga-67 citrate. Clin. Nucl. Med. 1995, 20, 1012–1014. [Google Scholar] [CrossRef]
  65. Ahmadihosseini, H.; Abedib, J.; Ghodsi Rad, M.A.; Zakavi, S.R.; Knoll, P.; Mirzaeic, S.; Sadeghi, R. Diagnostic utility of 99mTc-EDDA-tricine-HYNIC-Tyr3-octreotate SPET for differentiation of active from inactive pulmonary tuberculosis. Nucl. Med. Commun. 2014, 35, 1262–1267. [Google Scholar] [CrossRef]
  66. Monteiro, P.H.S.; de Souza, T.F.; Moretti, M.L.; Resende, M.R.; Mengatti, J.; de Lima, M.D.C.L.; Santos, A.O.; Ramos, C.D. SPET/CT with radiolabeled somatostatin analogues in the evaluation of systemic granulomatous infections. Radiol. Bras. 2017, 50, 378–382. [Google Scholar] [CrossRef] [Green Version]
  67. Kwekkeboom, D.J.; Krenning, E.P.; Kho, G.S.; Breman, W.A.; Van Hagen, P.M. Somatostatin receptor imaging in patients with sarcoidosis. Eur. J. Nucl. Med. 1998, 25, 1284–1292. [Google Scholar] [CrossRef]
  68. Lebtahi, R.; Crestani, B.; Belmatoug, N.; Daou, D.; Genin, R.; Dombret, M.C.; Palazzo, E.; Faraggi, M.; Aubier, M.; Le Guludec, D. Somatostatin receptor scintigraphy and gallium scintigraphy in patients with sarcoidosis. J. Nucl. Med. 2001, 42, 21–26. [Google Scholar]
  69. Nishiyama, Y.; Yamamoto, Y.; Fukunaga, K.; Takinami, H.; Iwado, Y.; Satoh, K.; Ohkawa, M. Comparative evaluation of 18F-FDG PET and 67Ga scintigraphy in patients with sarcoidosis. J. Nucl. Med. 2006, 47, 1571–1576. [Google Scholar]
  70. Prager, E.; Wehrschuetz, M.; Bisail, B.; Woltsche, M.; Schwarz, T.; Lanz, H.; Sorantin, E.; Aigner, R.M. Comparison of 18F-FDG and 67Ga-citrate in sarcoidosis imaging. Nuklearmedizin 2008, 47, 18–23. [Google Scholar]
  71. Keijsers, R.G.; Grutters, J.C.; Thomeer, M.; Du Bois, R.M.; Van Buul, M.M.; Lavalaye, J.; Van Den Bosch, J.M.; Verzijlbergen, F.J. Imaging the inflammatory activity of sarcoidosis: sensitivity and inter observer agreement of 67Ga imaging and 18F-FDG PET. Q. J. Nucl. Med. Mol. Imaging 2011, 55, 66–71. [Google Scholar] [PubMed]
  72. Kartamihardja, A.H.S.; Kurniawati, Y.; Gunawan, R. Diagnostic value of 99mTc-ethambutol scintigraphy in tuberculosis: compared to microbiological and histopathological tests. Ann. Nucl. Med. 2018, 32, 60–68. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Foss, C.A.; Kulik, L.; Ordonez, A.A.; Jain, S.K.; Michael Holers, V.; Thurman, J.M.; Pomper, M.G. SPET/CT Imaging of Mycobacterium tuberculosis Infection with [125I]anti-C3d mAb. Mol. Imaging Biol. 2019, 21, 473–481. [Google Scholar] [CrossRef] [PubMed]
  74. Zheng, L.; Ding, X.; Liu, K.; Feng, S.; Tang, B.; Li, Q.; Huang, D.; Yang, S. Molecular imaging of fibrosis using a novel collagen-binding peptide labelled with 99mTc on SPET/CT. Amino Acids 2017, 49, 89–101. [Google Scholar] [CrossRef]
  75. Britton, K.E.; Wareham, D.W.; Das, S.S.; Solanki, K.K.; Amaral, H.; Bhatnagar, A.; Katamihardja, A.H.S.; Malamitsi, J.; Moustafa, H.M.; Soroa, V.E.; et al. Imaging bacterial infection with (99m)Tc-ciprofloxacin (Infecton). J. Clin. Pathol. 2002, 55, 817–823. [Google Scholar] [CrossRef] [Green Version]
  76. Vinjamuri, S.; Hall, A.V.; Solanki, K.K.; Bomanji, J.B.; Siraj, Q.; O’Shaughnessy, E.M.; Das, S.S.; Britton, K.E. Comparison of99mTc-Infecton imaging with radiolabelled white-cell imaging in the evaluation of bacterial infection. Lancet 1996, 347, 233–235. [Google Scholar] [CrossRef]
  77. Auletta, S.; Varani, M.; Horvat, R.; Galli, F.; Signore, A.; Hess, S. PET Radiopharmaceuticals for Specific Bacteria Imaging: A Systematic Review. J. Clin. Med. 2019, 8, 197. [Google Scholar] [CrossRef] [Green Version]
  78. Akhtar, M.S.; Imran, M.B.; Nadeem, M.A.; Shahid, A. Antimicrobial Peptides as Infection Imaging Agents: Better Than Radiolabeled Antibiotics. Int. J. Pept. 2012, 2012, 1–19. [Google Scholar] [CrossRef] [Green Version]
  79. King, G.G.; Eberl, S.; Salome, C.M.; Meikle, S.R.; Woolcock, A.J. Airway closure measured by a technegas bolus and SPECT. Am. J. Respir. Crit. Care Med. 1997, 155, 682–688. [Google Scholar] [CrossRef]
  80. Farrow, C.E.; Salome, C.M.; Harris, B.E.; Bailey, D.L.; Bailey, E.; Berend, N.; Young, I.H.; King, G.G. Airway closure on imaging relates to airway hyperresponsiveness and peripheral airway disease in asthma. J. Appl. Physiol. 2012, 113, 958–966. [Google Scholar] [CrossRef] [Green Version]
  81. Farrow, C.E.; Salome, C.M.; Harris, B.E.; Bailey, D.L.; Berend, N.; King, G.G. Peripheral ventilation heterogeneity determines the extent of bronchoconstriction in asthma. J. Appl. Physiol. 2017, 123, 1188–1194. [Google Scholar] [CrossRef] [PubMed]
  82. Bajc, M.; Chen, Y.; Wang, J.; Li, X.Y.; Shen, W.M.; Wang, C.Z.; Huang, H.; Lindqvist, A.; He, X.Y. Identifying the heterogeneity of COPD by V/P SPECT: a new tool for improving the diagnosis of parenchymal defects and grading the severity of small airways disease. Int. J. Chron. Obs. Pulmon. Dis. 2017, 12, 1579–1587. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Karacavus, S.; Intepe, Y.S. The role of Tc-99m DTPA aerosol scintigraphy in the differential diagnosis of COPD and asthma. Clin. Respir. J. 2015, 9, 189–195. [Google Scholar] [CrossRef] [PubMed]
  84. Mochizuki, T.; Tsukamoto, E.; Kuge, Y.; Kanegae, K.; Zhao, S.; Hikosaka, K.; Hikosaka, M.; Hikosaka, M.; Tamaki, N. FDG uptake and glucose transporter subtype expressions in experimental tumor and inflammation models. J. Nucl. Med. 2001, 42, 1551–1555. [Google Scholar]
  85. Kubota, R.; Yamada, S.; Kubota, K.; Ishiwata, K.; Tamahashi, N.; Ido, T. Intratumoral distribution of fluorine-18-fluorodeoxyglucose in vivo: high accumulation in macrophages and granulation tissues studied by microautoradiography. J. Nucl. Med. 1992, 33, 1972–1980. [Google Scholar]
  86. Bell, G.I.; Burant, C.F.; Takeda, J.; Gould, G.W. Structure and function of mammalian facilitative sugar transporters. J. Biol. Chem. 1993, 268, 19161–19164. [Google Scholar]
  87. Pauwels, E.K.; Ribeiro, M.J.; Stoot, J.H.; McCready, V.R.; Bourguignon, M.; Mazière, B. FDG accumulation and tumor biology. Nucl. Med. Biol. 1998, 25, 317–322. [Google Scholar] [CrossRef] [Green Version]
  88. Zhuang, H.; Alavi, A. 18-fluorodeoxyglucose positron emission tomographic imaging in the detection and monitoring of infection and inflammation. Semin. Nucl. Med. 2002, 32, 47–59. [Google Scholar] [CrossRef]
  89. Paik, J.Y.; Lee, K.H.; Choe, Y.S.; Choi, Y.; Kim, B.T. Augmented 18F-FDG uptake in activated monocytes occurs during the priming process and involves tyrosine kinases and protein kinase C. J. Nucl. Med. 2004, 45, 124–128. [Google Scholar]
  90. Chang, J.M.; Lee, H.J.; Goo, J.M.; Lee, H.Y.; Lee, J.J.; Chung, J.K.; Im, J.G. False positive and false negative FDG-PET scans in various thoracic diseases. Korean J. Radiol. 2006, 7, 57–69. [Google Scholar] [CrossRef] [Green Version]
  91. Sathekge, M.M.; Maes, A.; Pottel, H.; Stoltz, A.; van de Wiele, C. Dual time-point FDG PET-CT for differentiating benign from malignant solitary pulmonary nodules in a TB endemic area. S. Afr. Med. J. 2010, 100, 598–601. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Chen, C.J.; Lee, B.F.; Yao, W.J.; Cheng, L.; Wu, P.S.; Chu, C.L.; Chiu, N.T. Dual-phase 18F-FDG PET in the diagnosis of pulmonary nodules with an initial standard uptake value less than 2.5. Am. J. Roentgenol. 2008, 191, 475–479. [Google Scholar] [CrossRef] [PubMed]
  93. Kaneko, K.; Sadashima, E.; Irie, K.; Hayashi, A.; Masunari, S.; Yoshida, T.; Omagari, J. Assessment of FDG retention differences between the FDG-avid benign pulmonary lesion and primary lung cancer using dual-time-point FDG-PET imaging. Ann. Nucl. Med. 2013, 27, 329–339. [Google Scholar] [CrossRef] [PubMed]
  94. Heysell, S.K.; Thomas, T.A.; Sifri, C.D.; Rehm, P.K.; Houpt, E.R. 18-Fluorodeoxyglucose positron emission tomography for tuberculosis diagnosis and management: A case series. BMC Pulm. Med. 2013, 21, 13–14. [Google Scholar] [CrossRef] [Green Version]
  95. Franzius, C.; Biermann, M.; Hülskamp, G.; Frosch, M.; Roth, J.; Sciuk, J.; Schober, O. Therapy monitoring in aspergillosis using F-18 FDG positron emission tomography. Clin. Nucl. Med. 2001, 26, 232–233. [Google Scholar] [CrossRef]
  96. Reuter, S.; Schirrmeister, H.; Kratzer, W.; Dreweck, C.; Reske, S.N.; Kern, P. Pericystic metabolic activity in alveolar echinococcosis: assessment and follow-up by positron emission tomography. Clin. Infect. Dis. 1999, 29, 1157–1163. [Google Scholar] [CrossRef]
  97. Reuter, S.; Buck, A.; Manfras, B.; Kratzer, W.; Seitz, H.M.; Darge, K.; Reske, S.N.; Kern, P. Structured treatment interruption in patients with alveolar echinococcosis. Hepatology 2004, 39, 509–517. [Google Scholar] [CrossRef]
  98. Stumpe, K.D.; Renner-Schneiter, E.C.; Kuenzle, A.K.; Grimm, F.; Kadry, Z.; Clavein, P.A.; Deplazes, P.; von Schulthess, G.K.; Muellhaupt, B.; Amman, R.W.; et al. F-18-fluorodeoxyglucose (FDG) positron-emission tomography of Echinococcus multilocularis liver lesions: proSPETive evaluation of its value for diagnosis and follow-up during benzimidazole therapy. Infect. 2007, 35, 11–18. [Google Scholar] [CrossRef]
  99. Bleeker-Rovers, C.P.; Warris, A.; Drenth, J.P.; Corstens, F.H.; Oyen, W.J.; Kullberg, B.J. Diagnosis of Candida lung abscesses by 18F-fluorodeoxyglucose positron emission tomography. Clin. Microbiol. Infect. 2005, 11, 493–495. [Google Scholar] [CrossRef] [Green Version]
  100. Glaudemans, A.W.; de Vries, E.F.; Galli, F.; Dierckx, R.A.; Slart, R.H.; Signore, A. The use of (18)F-FDG-PET/CT for diagnosis and treatment monitoring of inflammatory and infectious diseases. Clin. Dev. Immunol. 2013, 2013, 623036. [Google Scholar] [CrossRef] [Green Version]
  101. Mostard, R.L.; van Kroonenburgh, M.J.; Drent, M. The role of the PET scan in the management of sarcoidosis. Curr. Opin. Pulm. Med. 2013, 19, 538–544. [Google Scholar] [CrossRef] [PubMed]
  102. Teirstein, A.S.; Machac, J.; Almeida, O.; Lu, P.; Padilla, M.L.; Iannuzzi, M.C. Results of 188 whole-body fluorodeoxyglucose positron emission tomography scans in 137 patients with sarcoidosis. Chest 2007, 132, 1949–1953. [Google Scholar] [CrossRef] [PubMed]
  103. Coker, R.K. Management strategies for pulmonary sarcoidosis. Clin. Risk. Manag. 2009, 5, 575–584. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Klein, M.; Cohen-Cymberknoh, M.; Armoni, S.; Shoseyov, D.; Chisin, R.; Orevi, M.; Freedman, N.; Kerem, E. 18F-fluorodeoxyglucose-PET/CT imaging of lungs in patients with cystic fibrosis. Chest 2009, 136, 1220–1228. [Google Scholar] [CrossRef]
  105. Amin, R.; Charron, M.; Grinblat, L.; Shammas, A.; Grasemann, H.; Graniel, K.; Ciet, P.; Tiddens, H.; Ratjen, F. Cystic fibrosis: Detecting changes in airway inflammation with FDG PET/CT. Radiology 2012, 264, 868–875. [Google Scholar] [CrossRef]
  106. Cremers, J.P.; Van Kroonenburgh, M.J.; Mostard, R.L.; Vöö, S.A.; Wijnen, P.A.; Koek, G.H.; Drent, M. Extent of disease activity assessed by 18F-FDG PET/CT in a Dutch sarcoidosis population. Sarcoidosis Vasc. Diffus. Lung Dis. 2014, 31, 37–45. [Google Scholar]
  107. Dolovich, M.B.; Schuster, D.P. Positron emission tomography and computed tomography versus positron emission tomography computed tomography: tools for imaging the lung. Proc. Am. Thorax Soc. 2007, 4, 328–333. [Google Scholar] [CrossRef]
  108. Groves, A.M.; Win, T.; Screaton, N.J.; Berovic, M.; Endozo, R.; Booth, H.; Kayani, I.; Menezes, L.J.; Dickson, J.C.; Ell, P.J. Idiopathic pulmonary fibrosis and diffuse parenchymal lung disease: implications from initial experience with 18F-FDG PET/CT. J. Nucl. Med. 2009, 50, 538–545. [Google Scholar] [CrossRef] [Green Version]
  109. Chen, D.L.; Wang, X.; Yamamoto, S.; Carpenter, D.; Engle, J.T.; Li, W.; Lin, X.; Kreisel, D.; Krupnick, A.S.; Huang, H.J.; et al. Increased T cell glucose uptake reflects acute rejection in lung grafts. Am. J. Transpl. 2013, 13, 2540–2549. [Google Scholar] [CrossRef] [Green Version]
  110. Kothekar, E.; Borja, A.J.; Gerke, O.; Werner, T.J.; Alavi, A.; Revheim, M.E. Assessing respiratory muscle activity with 18F-FDG-PET/CT in patients with COPD. Am. J. Nucl. Med. Mol. Imaging. 2019, 9, 309–315. [Google Scholar]
  111. Braune, J.; Hofheinz, F.; Bluth, T.; Kiss, T.; Wittenstein, J.; Scharffenberg, M.; Kotzerke, J.; Gama de Abreu, M. Comparison of static 18F-FDG-PET/CT (SUV, SUR) and dynamic 18F-FDG-PET/CT (Ki) for quantification of pulmonary inflammation in acute lung injury. J. Nucl. Med. 2019, 60, 1629–1634. [Google Scholar] [CrossRef] [PubMed]
  112. Verleden, S.E.; Gheysens, O.; Goffin, K.E.; Vanaudenaerde, B.M.; Verbeken, E.K.; Weynand, B.; Van Raemdonck, D.E.; Verleden, G.M.; Vos, R. Role of 18F-FDG PET/CT in restrictive allograft syndrome after lung transplantation. Transplantation 2019, 103, 823–831. [Google Scholar] [CrossRef]
  113. Hara, T.; Kosaka, N.; Suzuki, T.; Kudo, K.; Niino, H. Uptake rates of 18F-fluorodeoxyglucose and 11C-choline in lung cancer and pulmonary tuberculosis: A positron tomography study. Chest 2003, 124, 893–901. [Google Scholar] [CrossRef] [PubMed]
  114. Liu, Q.; Peng, Z.M.; Liu, Q.W.; Yao, S.Z.; Zhang, L.; Meng, L.; Chen, J.H. The role of 11C-choline positron emission tomography– computed tomography and videomediastinoscopy in the evaluation of diseases of middle mediastinum. Chin. Med. J. 2006, 119, 634–639. [Google Scholar] [CrossRef] [PubMed]
  115. Hara, T.; Inagaki, K.; Kosaka, N.; Morita, T. Sensitive detection of mediastinal lymph node metastasis of lung cancer with 11C-choline PET. J. Nucl. Med. 2000, 41, 1507–1513. [Google Scholar]
  116. Norikane, T.; Yamamoto, Y.; Maeda, Y.; Noma, T.; Dobashi, H.; Nishiyama, Y. Comparative evaluation of 18F-FLT and 18F-FDG for detecting cardiac and extra-cardiac thoracic involvement in patients with newly diagnosed sarcoidosis. Ejnmmi Res. 2017, 7, 69. [Google Scholar] [CrossRef]
  117. Win, T.; Screaton, N.J.; Porter, J.; Endozo, R.; Wild, D.; Kayani, I.; Dickson, J.; Shortman, R.I.; Reubi, J.C.; Ell, P.J.; et al. Novel positron emission tomography/computed tomography of diffuse parenchymal lung disease combining a labeled somatostatin receptor analogue and 2-deoxy-2[18F]fluoro-D-glucose. Mol. Imaging 2012, 11, 91–98. [Google Scholar] [CrossRef]
  118. Ordenez, A.A.; DeMarco, V.P.; Klunk, M.H.; Pokkali, S.; Jain, S.K. Imaging chronic tuberculosis lesions using sodium [18F] Fluoride positron emission tomography in mice. Mol. Imaging. Biol. 2015, 17, 609–614. [Google Scholar] [CrossRef] [Green Version]
  119. Mirsadraee, S.; Marin, A.; Jenkins, W.; Connell, M.; Tavares, A.; Flecher, A.; Hirani, N.; van Beek, E.J. The identification of systemic integrin activation in idiopathic and systemic sclerosis pulmonary fibrosis using 18F-fluciclatide positron emission tomography. Insights Imaging 2016, 7, S424. [Google Scholar]
  120. Knudsen, L.; Atochina-Vasserman, E.N.; Massa, C.B.; Birkelbach, B.; Guo, C.J.; Scott, P.; Haenni, B.; Beers, M.F.; Ochs, M.; Gow, A.J. The role of inducible nitric oxide synthase for interstitial remodeling of alveolar septa in surfactant protein D-deficient mice. Am. J. Physiol. Lung Cell. Mol. Physiol. 2015, 309, 959–969. [Google Scholar] [CrossRef] [Green Version]
  121. Zhou, D.; Lee, H.; Rothfuss, J.M.; Chen, D.L.; Ponde, D.E.; Welch, M.J.; March, R.H. Design and synthesis of 2-amino-4-methylpyridine analogues as inhibitors for inducible nitric oxide synthase and in vivo evaluation of [18F]6-(2-fluoropropyl)-4-methyl-pyridin-2-amine as a potential PET tracer for inducible nitric oxide synthase. J. Med. Chem. 2009, 52, 2443–2453. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  122. Huang, H.L.; Isakow, W.; Byers, D.E.; Engle, J.T.; Griffin, E.A.; Kemp, D.; Brody, S.L.; Gropler, R.J.; Miller, J.P.; Chu, W.; et al. Imaging pulmonary inducible nitric oxide synthase expression with PET. J. Nucl. Med. 2015, 56, 76–81. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  123. Ebenhan., T.; Mokaleng, B.; Venter, J.; Kruger, H.; Zeevaart, J.; Sathekge, M. Preclinical assessment of a 68Ga-DOTA-functionalized depsipeptide as a radiodiagnostic infection imaging agent. Molecules 2017, 22, 1403. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Mukherjee, A.; Bhatt, J.; Shinto, A.; Korde, A.; Kumar, M.; Kamaleshwaran, K.; Joseph, J.; Sarma, H.D.; Dash, A. 68Ga-NOTA-ubiquicidin fragment for PET imaging of infection: From bench to bedside. J. Pharm. Biomed. Anal. 2018, 159, 245–251. [Google Scholar] [CrossRef] [PubMed]
  125. Ebenhan, T.; Zeevaart, J.R.; Venter, J.D.; Govender, T.; Kruger, G.H.; Jarvis, N.V.; Sathekge, M. Preclinical evaluation of 68Ga-labeled 1,4,7-Triazacyclononane-1,4,7-Triacetic acid-ubiquicidin as a radioligand for PET infection imaging. J. Nucl. Med. 2014, 55, 308–314. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Kapur, S.; Bhalla, A.S.; Jana, M. Pediatric Chest MRI: A Review. Indian J. Pediatr. 2019, 86, 842–853. [Google Scholar] [CrossRef]
  127. Richard, J.-C.; Chen, D.L.; Ferkol, T.; Schuster, D.P. Molecular imaging for pediatric lung diseases. Pediatr. Pulmonol. 2004, 37, 286–296. [Google Scholar] [CrossRef]
  128. Syrjala, H.; Broas, M.; Ohtonen, P.; Jartti, A.; Pääkkö, E. Chest magnetic resonance imaging for pneumonia diagnosis in outpatients with lower respiratory tract infection. Eur. Respir. J. 2016, 49, 1601303. [Google Scholar] [CrossRef] [Green Version]
  129. Hirsch, W.; Sorge, I.; Krohmer, S.; Weber, D.; Meier, K.; Till, H. MRI of the lungs in children. Eur. J. Radiol. 2008, 68, 278–288. [Google Scholar] [CrossRef]
  130. Poelmans, J.; Hillen, A.; Vanherp, L.; Govaerts, K.; Maertens, J.; Dresselaers, T.; Himmelreich, U.; Lagrou, K.; Vande Velde, G. Longitudinal, in vivo assessment of invasive pulmonary aspergillosis in mice by computed tomography and magnetic resonance imaging. Lab. Investig. 2016, 96, 692–704. [Google Scholar] [CrossRef]
  131. Tournebize, R.; Doan, B.-T.; Dillies, M.-A.; Maurin, S.; Beloeil, J.-C.; Sansonetti, P.J. Magnetic resonance imaging of Klebsiella pneumoniae-induced pneumonia in mice. Cell. Microbiol. 2006, 8, 33–43. [Google Scholar] [CrossRef] [PubMed]
  132. Marzola, P.; Lanzoni, A.; Nicolato, E.; Di Modugno, V.; Cristofori, P.; Osculati, F.; Sbarbati, A. 1H MRI of pneumococcal pneumonia in a murine model. J. Magn. Reson. Imaging 2005, 22, 170–174. [Google Scholar] [CrossRef] [PubMed]
  133. Hoerr, V.; Faber, C. Magnetic resonance imaging characterization of microbial infections. J. Pharm. Biomed. Anal. 2014, 93, 136–146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  134. Asanuma, T.; Kawahara, T.; Inanami, O.; Nakao, M.; Nakaya, K.; Ito, A.; Takiguchi, M.; Hashimoto, A.; Kuwabara, M. Magnetic resonance imaging of alveolar echinococcosis experimentally induced in the rat lung. J. Vet. Med. Sci. 2006, 68, 15–20. [Google Scholar] [CrossRef] [Green Version]
  135. Mc Fadden, R.G.; Carr, T.J.; Mackie, I.D. Thoracic magnetic resonance imaging in the evaluation of HIV-1/AIDS pneumonitis. Chest 1992, 101, 371–374. [Google Scholar] [CrossRef]
  136. Kuhlman, J.E. Pneumocystic infections: the radiologist’s perSPETive. Radiology 1996, 198, 623–635. [Google Scholar] [CrossRef]
  137. Nishimura, A.; Yamaguchi, H.; Ito, Y.; Tokumoto, S.; Toyoshima, D.; Kasai, M.; Maruyama, A. Empyema necessitatis due to Pseudomonas aeruginosa in a child with cerebral palsy. J. Infect. Public Health 2019, 13, 140–142. [Google Scholar] [CrossRef]
  138. Liszewski, M.C.; Görkem, S.; Sodhi, K.S.; Lee, E.Y. Lung magnetic resonance imaging for pneumonia in children. Pediatr. Radiol. 2017, 47, 1420–1430. [Google Scholar] [CrossRef]
  139. Ekinci, A.; Yucel Ucarkus, T.; Okur, A.; Ozturk, M.; Dogan, S. MRI of pneumonia in immunocompromised patients: comparison with CT. Diagn. Interv. Radiol. 2017, 23, 22–28. [Google Scholar] [CrossRef]
  140. Ozcan, H.N.; Gormez, A.; Ozsurekci, Y.; Karakaya, J.; Oguz, B.; Unal, S.; Haliloglu, M. Magnetic resonance imaging of pulmonary infection in immunocompromised children: Comparison with multidetector computed tomography. Pediatric Radiol. 2016, 47, 146–153. [Google Scholar] [CrossRef]
  141. Yan, C.; Tan, X.; Wei, Q.; Feng, R.; Li, C.; Wu, Y.; Xu, Y. Lung MRI of invasive fungal infection at 3 Tesla: Evaluation of five different pulse sequences and comparison with multidetector computed tomography (MDCT). Eur. Radiol. 2014, 25, 550–557. [Google Scholar] [CrossRef] [PubMed]
  142. Yan, C.; Xu, J.; Xiong, W.; Wei, Q.; Feng, R.; Wu, Y.; Xu, Y. Use of intravoxel incoherent motion diffusion-weighted MR imaging for assessment of treatment response to invasive fungal infection in the lung. Eur. Radiol. 2016, 27, 212–221. [Google Scholar] [CrossRef] [PubMed]
  143. Ohno, Y.; Hatabu, H.; Takenaka, D.; Adachi, S.; Kono, M.; Sugimura, K. Solitary Pulmonary Nodules: Potential Role of Dynamic MR Imaging in Management—Initial Experience. Radiology 2002, 224, 503–511. [Google Scholar] [CrossRef] [PubMed]
  144. Chung, M.H.; Lee, H.G.; Kwon, S.S.; Park, S.H. MR imaging of solitary pulmonary lesion: Emphasis on tuberculomas and comparison with tumors. J. Magn. Reson. Imaging 2000, 11, 629–637. [Google Scholar] [CrossRef]
  145. Chung, J.H.; Huitt, G.; Yagihashi, K.; Hobbs, S.B.; Faino, A.V.; Bolster, B.D.; Lynch, D.A. Proton Magnetic Resonance Imaging for Initial Assessment of Isolated Mycobacterium avium Complex Pneumonia. Ann. Am. Thorac. Soc. 2016, 13, 49–57. [Google Scholar] [CrossRef]
  146. Blum, U.; Windfuhr, M.; Buitrago-Tellez, C.; Sigmund, G.; Herbst, E.W.; Langer, M. Invasive Pulmonary Aspergillosis. Chest 1994, 106, 1156–1161. [Google Scholar] [CrossRef] [Green Version]
  147. Sodhi, K.S.; Gupta, P.; Shrivastav, A.; Saxena, A.K.; Mathew, J.L.; Singh, M.; Agarwal, R. Evaluation of 3 T lung magnetic resonance imaging in children with allergic bronchopulmonary aspergillosis: Pilot study. Eur. J. Radiol. 2019, 111, 88–92. [Google Scholar] [CrossRef]
  148. Moore, E.; Webb, W.; Muller, N.; Sollitto, R. MRI of pulmonary airspace disease: experimental model and preliminary clinical results. Am. J. Roentgenol. 1986, 146, 1123–1128. [Google Scholar] [CrossRef] [Green Version]
  149. Cohen, M.D.; Scales, R.L.; Eigen, H.; Scott, P.; Tepper, R.; Cory, D.A.; Smith, J.A. Evaluation of pulmonary parenchymal disease by magnetic resonance imaging. Br. J. Radiol. 1987, 60, 223–230. [Google Scholar] [CrossRef]
  150. Montella, S.; Maglione, M.; Bruzzese, D.; Mollica, C.; Pignata, C.; Aloj, G.; Santamaria, F. Magnetic resonance imaging is an accurate and reliable method to evaluate non-cystic fibrosis paediatric lung disease. Respirology 2011, 17, 87–91. [Google Scholar] [CrossRef]
  151. Owrangi, A.M.; Parraga, G. Chest MRI in children: Why bother? Respirology 2011, 17, 3–4. [Google Scholar] [CrossRef] [PubMed]
  152. Jacob, R.E.; Amidan, B.G.; Soelberg, J.; Minard, K.R. In vivo MRI of altered proton signal intensity and T2 relaxation in a bleomycin model of pulmonary inflammation and fibrosis. J. Magn. Reson. Imaging 2010, 31, 1091–1099. [Google Scholar] [CrossRef] [PubMed]
  153. Yi, C.A.; Lee, K.S.; Han, J.; Chung, M.P.; Chung, M.J.; Shin, K.M. 3-T MRI for Differentiating Inflammation- and Fibrosis-Predominant Lesions of Usual and Nonspecific Interstitial Pneumonia: Comparison Study with Pathologic Correlation. Am. J. Roentgenol. 2008, 190, 878–885. [Google Scholar] [CrossRef] [PubMed]
  154. Wallace, W.A.; Fitch, P.M.; Simpson, A.J.; Howie, S.E. Inflammation-associated remodelling and fibrosis in the lung – a process and an end point. Int. J. Exp. Pathol. 2007, 88, 103–110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  155. Romei, C.; Turturici, L.; Tavanti, L.; Miedema, J.; Fiorini, S.; Marletta, M.; Ciet, P. The use of chest magnetic resonance imaging in interstitial lung disease: a systematic review. Eur. Respir. Rev. 2018, 27, 180062. [Google Scholar] [CrossRef] [Green Version]
  156. Lutterbey, G.; Grohé, C.; Gieseke, J.; von Falkenhausen, M.; Morakkabati, N.; Wattjes, M.P.; Schild, H.H. Initial experience with lung-MRI at 3.0T: Comparison with CT and clinical data in the evaluation of interstitial lung disease activity. Eur. J. Radiol. 2007, 61, 256–261. [Google Scholar] [CrossRef]
  157. Cutillo, A.G.; Morris, A.H.; Ailion, D.C.; Durney, C.H. Clinical Implications of Nuclear Magnetic Resonance Lung Research. Chest 1989, 96, 643–652. [Google Scholar] [CrossRef]
  158. Buzan, M.T.A.; Eichinger, M.; Kreuter, M.; Kauczor, H.-U.; Herth, F.J.; Warth, A.; Dinkel, J. T2 mapping of CT remodelling patterns in interstitial lung disease. Eur. Radiol. 2015, 25, 3167–3174. [Google Scholar] [CrossRef]
  159. Müller, C.d.S.; Warszawiak, D.; Paiva, E.d.S.; Escuissato, D.L. Pulmonary magnetic resonance imaging is similar to chest tomography in detecting inflammation in patients with systemic sclerosis. Rev. Bras. Reumatol. 2017, 57, 419–424. [Google Scholar] [CrossRef]
  160. Buzan, M.T.A.; Wetscherek, A.; Heussel, C.P.; Kreuter, M.; Herth, F.J.; Warth, A.; Dinkel, J. Texture analysis using proton density and T2 relaxation in patients with histological usual interstitial pneumonia (UIP) or nonspecific interstitial pneumonia (NSIP). PloS ONE 2017, 12, e0177689. [Google Scholar] [CrossRef]
  161. Gaeta, M.; Blandino, A.; Scribano, E.; Minutoli, F.; Barone, M.; Andò, F.; Pandolfo, I. Chronic Infiltrative Lung Diseases. Chest 2000, 117, 1173–1178. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  162. Bianchi, A.; Ozier, A.; Ousova, O.; Raffard, G.; Crémillieux, Y. Ultrashort-TE MRI longitudinal study and characterization of a chronic model of asthma in mice: Inflammation and bronchial remodeling assessment. NMR Biomed. 2013, 26, 1451–1459. [Google Scholar] [CrossRef] [PubMed]
  163. Caravan, P.; Yang, Y.; Zachariah, R.; Schmitt, A.; Mino-Kenudson, M.; Chen, H.H.; Lanuti, M. Molecular Magnetic Resonance Imaging of Pulmonary Fibrosis in Mice. Am. J. Respir. Cell Mol. Biol. 2013, 49, 1120–1126. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  164. Vogel-Claussen, J.; Renne, J.; Hinrichs, J.; Schönfeld, C.; Gutberlet, M.; Schaumann, F.; Hohlfeld, J.M. Quantification of Pulmonary Inflammation after Segmental Allergen Challenge Using Turbo-Inversion Recovery-Magnitude Magnetic Resonance Imaging. Am. J. Respir. Crit. Care Med. 2014, 189, 650–657. [Google Scholar] [CrossRef]
  165. Evans, R.L.; Changani, K.K.; Hotee, S.; Pindoria, K.; Campbell, S.; Nials, A.T.; Kidd, E.J. Pulmonary edema measured by MRI correlates with late-phase response to allergen challenge. Exp. Lung Res. 2015, 41, 189–198. [Google Scholar] [CrossRef]
  166. Quintana, H.K.; Cannet, C.; Schaeublin, E.; Zurbruegg, S.; Sugar, R.; Mazzoni, L.; Beckmann, N. Identification with MRI of the pleura as a major site of the acute inflammatory effects induced by ovalbumin and endotoxin challenge in the airways of the rat. Am. J. Physiol. Lung Cell. Mol. Physiol. 2006, 291, L651–L657. [Google Scholar] [CrossRef] [Green Version]
  167. Renne, J.; Hinrichs, J.; Schönfeld, C.; Gutberlet, M.; Winkler, C.; Faulenbach, C.; Vogel-Claussen, J. Noninvasive Quantification of Airway Inflammation Following Segmental Allergen Challenge with Functional MR Imaging: A Proof of Concept Study. Radiology 2015, 274, 267–275. [Google Scholar] [CrossRef] [Green Version]
  168. Castro, M.; Fain, S.B.; Hoffman, E.A.; Gierada, D.S.; Erzurum, S.C.; Wenzel, S. Lung imaging in asthmatic patients: The picture is clearer. J. Allergy Clin. Immunol. 2011, 128, 467–478. [Google Scholar] [CrossRef] [Green Version]
  169. Aysola, R.; de Lange, E.E.; Castro, M.; Altes, T.A. Demonstration of the heterogeneous distribution of asthma in the lungs using CT and hyperpolarized helium-3 MRI. J. Magn. Reson. Imaging 2010, 32, 1379–1387. [Google Scholar] [CrossRef]
  170. Haczku, A.; Emami, K.; Fischer, M.C.; Kadlecek, S.; Ishii, M.; Panettieri, R.A.; Rizi, R.R. Hyperpolarized 3He MRI in Asthma. Acad. Radiol. 2005, 12, 1362–1370. [Google Scholar] [CrossRef]
  171. Fiel, S.B.; Friedman, A.C.; Caroline, D.F.; Radecki, P.D.; Faerber, E.; Grumbach, K. Magnetic Resonance Imaging in Young Adults with Cystic Fibrosis. Chest 1987, 91, 181–184. [Google Scholar] [CrossRef] [PubMed]
  172. Biederer, J.; Mirsadraee, S.; Beer, M.; Molinari, F.; Hintze, C.; Bauman, G.; Puderbach, M. MRI of the lung (3/3)—current applications and future perSPETives. Insights Imaging 2012, 3, 373–386. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Wielpütz, M.O.; Heußel, C.P.; Herth, F.J.F.; Kauczor, H.-U. Radiological Diagnosis in Lung Disease. Dtsch. Aerzteblatt Online 2014, 111, 181–187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  174. Ciet, P.; Serra, G.; Andrinopoulou, E.R.; Bertolo, S.; Ros, M.; Catalano, C.; Morana, G. Diffusion weighted imaging in cystic fibrosis disease: beyond morphological imaging. Eur. Radiol. 2016, 26, 3830–3839. [Google Scholar] [CrossRef] [PubMed]
  175. Ciet, P.; Bertolo, S.; Ros, M.; Andrinopoulou, E.R.; Tavano, V.; Lucca, F.; Morana, G. Detection and monitoring of lung inflammation in cystic fibrosis during respiratory tract exacerbation using diffusion-weighted magnetic resonance imaging. Eur. Respir. J. 2017, 50, 1601437. [Google Scholar] [CrossRef] [Green Version]
  176. Tiddens, H.A.W.M.; Stick, S.M.; Wild, J.M.; Ciet, P.; Parker, G.J.M.; Koch, A.; Vogel-Claussen, J. Respiratory tract exacerbations revisited: Ventilation, inflammation, perfusion, and structure (VIPS) monitoring to redefine treatment. Pediatr. Pulmonol. 2015, 50, S57–S65. [Google Scholar] [CrossRef] [Green Version]
  177. Baues, M.; Dasgupta, A.; Ehling, J.; Prakash, J.; Boor, P.; Tacke, F.; Kiessling, F.; Lammers, T. Fibrosis imaging: Current concepts and future directions. Adv. Drug. Deliv. Rev. 2017, 121, 9–26. [Google Scholar] [CrossRef]
  178. Toma, P.; Bertaina, A.; Castagnola, E.; Colafati, G.S.; D’Andrea, M.L.; Finocchi, A.; Granata, C. Fungal infections of the lung in children. Pediatr. Radiol. 2016, 46, 1856–1865. [Google Scholar] [CrossRef]
  179. Sodhi, K.S.; Khandelwal, N.; Saxena, A.K.; Singh, M.; Agarwal, R.; Bhatia, A.; Lee, E.Y. Rapid lung MRI in children with pulmonary infections: Time to change our diagnostic algorithms. J. Magn. Reson. Imaging 2016, 43, 1196–1206. [Google Scholar] [CrossRef]
  180. Bray, M.; Lawler, J.; Paragas, J.; Jahrling, P.B.; Mollura, D.J. Molecular Imaging of Influenza and Other Emerging Respiratory Viral Infections. J. Infect. Dis. 2011, 203, 1348–1359. [Google Scholar] [CrossRef] [Green Version]
  181. Peltola, V.; Ruuskanen, O.; Svedström, E. Magnetic resonance imaging of lung infections in children. Pediatr. Radiol. 2008, 38, 1225–1231. [Google Scholar] [CrossRef] [PubMed]
  182. Rieger, C.; Herzog, P.; Eibel, R.; Fiegl, M.; Ostermann, H. Pulmonary MRI—a new approach for the evaluation of febrile neutropenic patients with malignancies. Support. Care Cancer 2007, 16, 599–606. [Google Scholar] [CrossRef] [PubMed]
  183. Sodhi, K.S.; Bhatia, A.; Khandelwal, N. Rapid lung magnetic resonance imaging in children with pulmonary infection. Pediatr. Radiol. 2017, 47, 764–765. [Google Scholar] [CrossRef] [PubMed]
  184. Serra, G.; Milito, C.; Mitrevski, M.; Granata, G.; Martini, H.; Pesce, A.M.; Quinti, I. Lung MRI as a Possible Alternative to CT Scan for Patients With Primary Immune Deficiencies and Increased Radiosensitivity. Chest 2011, 140, 1581–1589. [Google Scholar] [CrossRef] [PubMed]
  185. Heusch, P.; Köhler, J.; Wittsack, H.J.; Heusner, T.A.; Buchbender, C.; Poeppel, T.D.; Nensa, F.; Wetter, A.; Gauler, T.; Hartung, V.; et al. Hybrid [18F]-FDG PET/MRI including non-Gaussian diffusion-weighted imaging (DWI): Preliminary results in non-small cell lung cancer (NSCLC). Eur. J. Radiol. 2013, 82, 2055–2060. [Google Scholar] [CrossRef]
  186. Raad, R.A.; Friedman, K.P.; Heacock, L.; Ponzo, F.; Melsaether, A.; Chandarana, H. Outcome of small lung nodules missed on hybrid PET/MRI in patients with primary malignancy. J. Magn. Reson. Imaging 2016, 43, 504–511. [Google Scholar] [CrossRef]
  187. Heusch, P.; Buchbender, C.; Köhler, J.; Nensa, F.; Gauler, T.; Gomez, B.; Reis, H.; Stamatis, G.; Kühl, H.; Hartung, V.; et al. Thoracic staging in lung cancer: prospective comparison of 18F-FDG PET/MR imaging and 18F-FDG PET/CT. J. Nucl. Med. 2014, 55, 373–378. [Google Scholar] [CrossRef] [Green Version]
  188. Lee, S.M.; Goo, J.M.; Park, C.M.; Yoon, S.H.; Paeng, J.C.; Cheon, G.J.; Kim, Y.T.; Park, Y.S. Preoperative staging of non-small cell lung cancer: prospective comparison of PET/MR and PET/CT. Eur. Radiol. 2016, 26, 3850–3857. [Google Scholar] [CrossRef]
  189. Ohno, Y.; Koyama, H.; Yoshikawa, T.; Takenaka, D.; Seki, S.; Yui, M.; Yamagata, H.; Aoyagi, K.; Matsumoto, S.; Sugimura, K. Three-way Comparison of Whole-Body MR, Coregistered Whole-Body FDG PET/MR, and Integrated Whole-Body FDG PET/CT Imaging: TNM and Stage Assessment Capability for Non-Small Cell Lung Cancer Patients. Radiology 2015, 275, 849–861. [Google Scholar] [CrossRef]
  190. Schaarschmidt, B.M.; Buchbender, C.; Nensa, F.; Grueneisen, J.; Gomez, B.; Köhler, J.; Reis, H.; Ruhlmann, V.; Umutlu, L.; Heusch, P. Correlation of the apparent diffusion coefficient (ADC) with the standardized uptake value (SUV) in lymph node metastases of non-small cell lung cancer (NSCLC) patients using hybrid 18F-FDG PET/MRI. PloS ONE 2015, 10, e0120606. [Google Scholar] [CrossRef]
  191. Thomas, B.A.; Molton, J.S.; Leek, F.; Pang, Y.; Totman, J.J.; Paton, N.I.; Townsend, D.W. A comparison of 18F-FDG PET/MR with PET/CT in pulmonary tuberculosis. Nucl. Med. Commun. 2017, 38, 971–978. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  192. Ebner, B.; Behm, P.; Jacoby, C.; Burghoff, S.; French, B.A.; Schrader, J.; Flogel, U. Early Assessment of Pulmonary Inflammation by 19F MRI In Vivo. Circ. Cardiovasc. Imaging 2010, 3, 202–210. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  193. Stoll, G.; Basse-Lüsebrink, T.; Weise, G.; Jakob, P. Visualization of inflammation using 19F-magnetic resonance imaging and perfluorocarbons. Wiley Interdiscip. Rev. Nanomed. Nanobiotechnol. 2012, 4, 438–447. [Google Scholar] [CrossRef] [PubMed]
  194. Schuster, D.P.; Kovacs, A.; Garbow, J.; Piwnica-Worms, D. Recent Advances in Imaging the Lungs of Intact Small Animals. Am. J. Respir. Cell Mol. Biol. 2004, 30, 129–138. [Google Scholar] [CrossRef] [PubMed]
  195. Kashefi, A.; Kuo, J.; Shelton, D.K. Molecular Imaging in Pulmonary Diseases. Am. J. Roentgenol. 2011, 197, 295–307. [Google Scholar] [CrossRef] [PubMed]
Figure 1. A 79-year-old male affected by pneumonia due to Pseudomonas aeruginosa who was examined by 18F-FDG-PET/CT. The 18F-FDG-PET (a), axial CT (b), and fused image (c) of the 18F-FDG-PET/CT scan demonstrate the pulmonary consolidation, with high tracer uptake, in the middle lobe due to the infection.
Figure 1. A 79-year-old male affected by pneumonia due to Pseudomonas aeruginosa who was examined by 18F-FDG-PET/CT. The 18F-FDG-PET (a), axial CT (b), and fused image (c) of the 18F-FDG-PET/CT scan demonstrate the pulmonary consolidation, with high tracer uptake, in the middle lobe due to the infection.
Ijms 21 00894 g001
Figure 2. A 60-year-old male with end-stage interstitial lung disease examined by 18F-FDG-PET/CT, which demonstrates the high metabolism (a) of the affected pulmonary areas (b).
Figure 2. A 60-year-old male with end-stage interstitial lung disease examined by 18F-FDG-PET/CT, which demonstrates the high metabolism (a) of the affected pulmonary areas (b).
Ijms 21 00894 g002
Figure 3. Short echo-time of the lungs showing multiple pulmonary nodules and enlarged hilar lymph nodes (respectively, yellow arrows and red asterisks in (a) and (b)) in a 40-year-old male patient affected by sarcoidosis.
Figure 3. Short echo-time of the lungs showing multiple pulmonary nodules and enlarged hilar lymph nodes (respectively, yellow arrows and red asterisks in (a) and (b)) in a 40-year-old male patient affected by sarcoidosis.
Ijms 21 00894 g003
Figure 4. 18F-FDG-PET (a) and fused axial 18F-FDG-PET/CT (b) demonstrating a pulmonary infection with high metabolic activity in the left upper lobe which then decreased after treatment with antibiotics at 18F-FDG-PET/MR (fused axial image in (c) and axial STIR in (d).
Figure 4. 18F-FDG-PET (a) and fused axial 18F-FDG-PET/CT (b) demonstrating a pulmonary infection with high metabolic activity in the left upper lobe which then decreased after treatment with antibiotics at 18F-FDG-PET/MR (fused axial image in (c) and axial STIR in (d).
Ijms 21 00894 g004
Table 1. Tracers, techniques and targets.
Table 1. Tracers, techniques and targets.
TracerTechniqueTarget
18F-FDGPETNeutrophils, lymphocytes, eosinophils and macrophages
67Ga/68Ga citrateSPECT/PETNeutrophils and leukocytes
99mTc-leukocitesSPECTLeukocytes
111In/68Ga-Somatostatic receptorsSPECT/PETLymphocytes, monocytes and macrophages (also fibroblasts)
11C-PK11195PETMonocities and neutrophils
FDG: fluorodeoxyglucose; PET: positron emission tomography; SPECT: single photon emission tomography;Ga: Gallium; In: Indium; 11C: 11Choline.
Table 2. Clinical indications and main radiopharmaceutical agents for the assessment of various benign lung diseases.
Table 2. Clinical indications and main radiopharmaceutical agents for the assessment of various benign lung diseases.
TracerDiseaseClinical Indication
Radiolabeled WBCPneumonia-
Pleural and lung infectionsDiagnosis
Mycobacterial infectionsDiagnosis
67Ga-citratePulmonary infections-
Pneumonia*-
TuberculosisDiagnosis, evaluation of response to therapy, active vs. nonactive disease
SarcoidosisDiagnosis
Pulmonary fibrosis-
FDGTuberculosis-
Sarcoidosis and extrapulmonary involvementDiagnosis, evaluation of response to therapy, biopsy guide
WBC=white blood cell; FDG=fluorodeoxyglucose; *especially in immunocompromised patients; Ga: Gallium.

Share and Cite

MDPI and ACS Style

Giraudo, C.; Evangelista, L.; Fraia, A.S.; Lupi, A.; Quaia, E.; Cecchin, D.; Casali, M. Molecular Imaging of Pulmonary Inflammation and Infection. Int. J. Mol. Sci. 2020, 21, 894. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21030894

AMA Style

Giraudo C, Evangelista L, Fraia AS, Lupi A, Quaia E, Cecchin D, Casali M. Molecular Imaging of Pulmonary Inflammation and Infection. International Journal of Molecular Sciences. 2020; 21(3):894. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21030894

Chicago/Turabian Style

Giraudo, Chiara, Laura Evangelista, Anna Sara Fraia, Amalia Lupi, Emilio Quaia, Diego Cecchin, and Massimiliano Casali. 2020. "Molecular Imaging of Pulmonary Inflammation and Infection" International Journal of Molecular Sciences 21, no. 3: 894. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21030894

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop