Next Article in Journal
Synthesis and Degradation Properties of Sericin/PVA Hydrogels
Next Article in Special Issue
Effectiveness of Epidermal Growth Factor Loaded Carboxymethylcellulose (EGF-CMC) Hydrogel in Biofilm Formation in Wounds of Diabetic Patients: A Randomized Clinical Trial
Previous Article in Journal
Controlling the LCST-Phase Transition in Azobenzene-Functionalized Poly (N-Isopropylacrlyamide) Hydrogels by Light
Previous Article in Special Issue
Electron Beam Irradiation Cross-Linked Hydrogel Patches Loaded with Red Onion Peel Extract for Transdermal Drug Delivery: Formulation, Characterization, Cytocompatibility, and Skin Permeation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Low-Cost Pseudo-Anthropomorphic PVA-C and Cellulose Lung Phantom for Ultrasound-Guided Interventions

by
Natalia Arteaga-Marrero
1,
Enrique Villa
1,*,
Ana Belén Llanos González
2,
Marta Elena Gómez Gil
3,
Orlando Acosta Fernández
2,
Juan Ruiz-Alzola
1,4,5 and
Javier González-Fernández
6
1
Grupo Tecnología Médica IACTEC, Instituto de Astrofísica de Canarias (IAC), 38205 San Cristóbal de La Laguna, Spain
2
Departamento de Neumología, Complejo Universitario de Canarias (HUC), 38320 San Cristóbal de La Laguna, Spain
3
Departameto de Radiología, Complejo Universitario de Canarias (HUC), 38320 San Cristóbal de La Laguna, Spain
4
Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
5
Departamento de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
6
Departamento de Ingeniería Biomédica, Instituto Tecnológico de Canarias (ITC), 38009 Santa Cruz de Tenerife, Spain
*
Author to whom correspondence should be addressed.
Submission received: 19 December 2022 / Revised: 11 January 2023 / Accepted: 13 January 2023 / Published: 17 January 2023
(This article belongs to the Special Issue Biofunctional Gels)

Abstract

:
A low-cost custom-made pseudo-anthropomorphic lung phantom, offering a model for ultrasound-guided interventions, is presented. The phantom is a rectangular solidstructure fabricated with polyvinyl alcohol cryogel (PVA-C) and cellulose to mimic the healthy parenchyma. The pathologies of interest were embedded as inclusions containing gaseous, liquid, or solid materials. The ribs were 3D-printed using polyethylene terephthalate, and the pleura was made of a bidimensional reticle based on PVA-C. The healthy and pathological tissues were mimicked to display acoustic and echoic properties similar to that of soft tissues. Theflexible fabrication process facilitated the modification of the physical and acoustic properties of the phantom. The phantom’s manufacture offers flexibility regarding the number, shape, location, and composition of the inclusions and the insertion of ribs and pleura. In-plane and out-of-plane needle insertions, fine needle aspiration, and core needle biopsy were performed under ultrasound image guidance. The mimicked tissues displayed a resistance and recoil effect typically encountered in a real scenario for a pneumothorax, abscesses, and neoplasms. The presented phantom accurately replicated thoracic tissues (lung, ribs, and pleura) and associated pathologies providing a useful tool for training ultrasound-guided procedures.

1. Introduction

Ultrasound (US) imaging has been increasingly employed for lung evaluation despite the impedance mismatch between the pleural lining and the air inside the lung [1,2]. Although the detection of the wave propagation is limited to the superficial tissue, US imaging provides valuable clinical insight into patients affected by pleural diseases, subpleural consolidations, and interstitial lung diseases (ILD) [1]. Lung ultrasonography has been employed to evaluate various disorders such as pneumothorax, peripheral lesions, consolidations, and diaphragm-related disorders [2]. Currently, the COVID-19 pandemic resulted in the adoption of a US-based approach to limit thecontamination and exposure of clinical practitioners [3]. Thus, US imaging was established as a suitable technique for diagnosis and monitoring of acute respiratory findings.
For ILD, the lung parenchyma becomes fibrotic and stiff, leading to dyspnea, dry cough, and respiratory failure. However, diagnosis at an early stage is complicated since the symptoms are not specific [2]. US is increasingly used to guide vascular access procedures, but its safety, effectiveness and usefulness considerably depend on the operators’ skills [4]. Consequently, clinical practitioners in thoracic US imaging require the means to obtain diagnostic and therapeutic capabilities in the assessment of diverse pathologies, in which infectious and neoplastic etiology diseases present a high prevalence. Additional training is requiredto develop proficiency in cognitive and psychomotor skill sets [5] in order to reduce the failure rate and to improve patient safety [6,7].
The use of phantoms for training US-guided interventions provides an effective educational tool [8]. The ideal phantom should be inexpensive, simple to construct, versatile, easily repairable, reproducible, and reusable. The phantom should have a long shelf life, present no infection issues, and be composed of nonperishable materials. Furthermore, the phantom should reproduce the texture and resistance of human tissues, as well as approximate the same ranges in the speed of sound, attenuation, and scattering coefficients [9,10]. A close match with the speed of sound is particularly important as this determines the distances in the US image [9]. Phantoms mimicking lung tissue are commercially available from several manufacturers, including (CIRS, Inc. [11], CAE Healthcare [12], and Kyoto Kagaku Co., Ltd. [13]). These are usually employed for training and the investigation of the effects of the breathing motion in the planned dose distributions, four-dimensional imaging, deformable image registration, and radiotherapy delivery techniques [14,15,16,17]. Other purposes include the verification of Monte Carlo simulations and the validation of quantitative measurement software [18,19,20]. Currently, more realistic and improvedphantoms are required for emerging imaging systems that provide multimodal and multiparametric data acquisition [21]. However, the limitations of replicating the complex geometry and structure result in phantoms that represent a simplified anatomy with a narrow range of accessible tissue structures [22,23]. Most importantly, the high purchase costs prevent their routine use as training tools. Thus, inexpensive and yet flexible custom-made phantoms are a reasonable solution for research institutions to overcome this issue [4].
Traditionally, dampened natural sponges were commonly employed to emulate the inner structure of the lungs [24,25]. In this manner, A- and B-lines can be nicely reproduced in US images [1,14]. Although this solves the cost problem, the instability over time presents a serious drawback, since these structures either present a short lifespan or are not deformable. Therefore, a more advanced approach was recently introduced using 3D printing technology, which has become more accessible, versatile, and accurate [21]. However, 3D-printed materials may be avoided in US-guided imaging as bulk material for the lung, since the speed of sound or attenuation are not accurately replicated [26,27]. In any case, 3D-printed materials can be employed for specific phantom’s parts such as the ribs.
For US imaging, commercial phantoms specifically developed for vascular access are available. However, these are difficult to alter, expensive, and degrade with use [28]. In addition, a limited lifetime is expected due to the tracks produced by repeated needle insertions. Consequently, custom-made phantoms have become an affordable alternative [4] with an associated order of magnitude cost reduction. Such phantoms, intended for training personnel in US diagnostic and interventional procedures, have previously been reported in the case of the liver [23], heart [26], and kidney [29]. In some cases, although a realistic phantom was successfully fabricated, the speed of sound was inaccurate [23]. Acoustic specifications from the Quantitative Imaging Biomarker Alliance (QIBA), established by the Radiological Society of North America (RSNA), require a speed of sound of 1540 ± 20 m/s and an attenuation coefficient of 0.6 ± 0.2 dB/cm·MHz for standardized tissue-mimicking phantoms [30].
Thus, a phantom based on polyvinyl alcohol cryogel (PVA-C) and cellulose for biomedical applications is described herein. Polyvinyl alcohol (PVA) is a hydrophilic and biocompatible polymer. This material forms a hydrogel, known as PVA-C, when crosslinked after a freeze–thaw cycling process. PVA-C shows textural, mechanical, and elastic properties that can be tuned to closely match those of soft tissues [31,32,33]. In addition, it is easily customized at a low cost. Hence, PVA-C is an attractive candidate for manufacturing phantoms for biomedical and medical device applications [34]. These PVA-C phantoms provide properties quite similar to that of biological tissues and present a high structural rigidity, longevity, and resistance to crack formation compared to other commonly employed materials, such as agar or gelatin [35]. The additional advantages of PVA-C-based phantoms are their biocompatibility and hydrophilicity. Nevertheless, the fabrication process requires a precisely controlled temperature and a long post-manufacturing time depending on the number of freeze–thaw cycles required [35].
PVA-C phantoms were previously employed for US imaging to investigate the elastic properties of healthy and pathological soft tissues [31,36]. However, PVA-C is a weak acoustic attenuator [32,37]. So the addition of scattering particles is required to produce a strong attenuation and provide a speckle pattern. Additionally, these particles control the acoustic properties, such as the speed of sound, the attenuation, and the backscatter coefficients. N-propanol and propylene glycol modify the speed of sound; whereas evaporated milk, cellulose, or graphite vary the attenuation [38]. A uniform mixture of the bulk material and the scattered particles is required to produce a rapidly varying dynamic speckle field [39]. Cellulose is a renewable, biocompatible, nontoxic, and biodegradable natural biopolymer. It is easily mixed and provides replicable results, in comparison to glass beads, when employed as scatterers in PVA-C phantoms [31,35,39]. Hydrogels based on cellulose are attractive biomaterials for multidisciplinary fields due to their excellent properties [40]. In addition, some cellulose derivatives have been used or even considered suitable for biomedical applications [41]. Recently, low-cost custom-made bimodal phantoms based on PVA-C and cellulose were introduced for microwave and US medical applications [35]. These phantoms demonstrably fulfilled the acoustic specifications for soft tissues using a flexible fabrication process with off-the-shelf materials. Thus, cellulose is presented as a suitable scatterer material for PVA-C phantoms.
In the present work, an easily reproducible, durable, and deformable lung tissue phantom is presented. This pseudo-anthropomorphic phantom mimicked the healthy parenchyma and some of the lungs’ commonly found pathologies as embedded inclusions made of gaseous, liquid, or solid materials. Moreover, fine needle aspiration biopsy (FNA) and core needle biopsy (CNB) were successfully performed. Thus, the capabilities of the phantom were demonstrated as a training tool for the acquisition and improvement of the technical skills associated with thoracic diagnostic and US-guided interventions.

2. Materials and Methods

Phantoms mimicking the healthy parenchyma were fabricated using PVA-C (99% hydrolyzed, molecular weight 89,000–98,000, Sigma Aldrich, St. Louis, MO, USA) and cellulose (Cellulose microcrystalline, 20 μm, Sigma Aldrich) as US scattering material, at 10% and 1% concentrations, respectively. Benzoic acid (Sigma Aldrich) was added as a preservative at a 0.1% concentration. The corresponding percentages required for the mixture were calculated in weight/weight (w/w), and the materials were employed as received. The dimensions of the phantoms were 165 mm × 75 mm × 50 mm (width × depth × height) corresponding to the container used for fabrication and storage. The strength and elasticity of the phantoms were controlled by the concentration of the PVA-C as well as the number of freeze–thaw cycles required to crosslink the polymer. An increment in PVA-C concentration provides a harder constraint than an increment in the number of freeze–thaw cycles. For the healthy parenchyma, a single freeze–thaw cycle was employed since an adequate and realistic elasticity was provided.In addition, a suitable support was provided for the different inclusions. Further details regarding the fabrication process can be found in [35,42].
The healthy parenchyma phantoms were upgraded by randomly embedding both spherical and irregular shape inclusions at variable depths. These inclusions were filled with gaseous, liquid, or solid materials to mimic the diverse pathologies of interest. For the gaseous and liquid inclusions, a customized shell was fabricated with a bubble-shape polydimethylsiloxane (PDMS) (Polytek Development Corp) film employing the lost-wax technique [43]. PDMS is a popular material with excellent optical transparency that has been previously used in microfluidics and artificial organ systems [29]. Cellulose at a 1% concentration was added since this material is anechoic to the US scanner. Nonporous PDMS walls were required to prevent the gas or liquid leakage, which could compromise the shelf life of the phantom over the long term. The gaseous inclusions were filled with air during the fabrication process, whereas the liquid ones were filled with saline solution. Nevertheless, it is possible to fill these inclusions with any other liquid such as distilled water or retinol. These two types of inclusions were mainly employed to mimic hypoechoic lesions that may produce shadowing of the underlying structures. The solid inclusions were fabricated using the same PVA-C concentration selected for the healthy parenchyma. However, an additional freeze–thaw cycle was required to insert these inclusions into the phantom. A higher cellulose concentration (2%) was also used. These inclusions mimicking hyperechoic lesions were clearly distinguishable from the healthy parenchyma in the US images. The elasticity was maintained despite the extra freeze–thaw cycle.
Furthermore, a color code was established to assess whether the FNA and CNB were successfully performed. Standard food coloring, red and blue, was used to fill the solid and liquid inclusions, respectively. The gaseous inclusions were transparent as was the PDMS shell. Figure 1 displays the fabricated inclusions.
In addition, ribs were 3D-printed using polyethylene terephthalate and embedded within the phantom. The phantom offered flexibility regarding the number, shape, location, and composition of the inclusions, as well as the presence of the ribs and pleura. This structure was mimicked by a bidimensional reticle made of PVA-C. This PVA-C was mixed with glass beads (iM16K, 3MTM) until saturation was reached. Figure 2 shows the fabricated phantom in the storage container. As can be observed, the phantom mimicking the healthy parenchyma was white, the color of the crosslinked PVA-C. Overall, the estimated time for each phantom fabrication was approximately between 48 and 72 h. The variationsin fabrication time were related to the final size of the phantom because a slow and controlled thawing was preferred. The number and typeof embedded inclusions also affected the fabrication time. Regarding the fabrication of these inclusions, once the mold was available, the solid inclusions were the longest to process (around 24 h). As mentioned above, this was due to the extra freeze–thaw cycle required to crosslink the PVA-C.

3. Results and Discussion

3.1. Ultrasound Characterization

The speed of sound and the acoustic attenuation are critical phantom properties [44]. In soft tissues, the average speed of sound, commonly assumed by clinical US scanners, is 1540 m/s [33], specifically, 1540 ± 20 m/s as required by QIBA [30]. The speed of sound should match this reference value, as closely as possible, since deviations induce image blurring due to non-adjusted beam forming [45]. The acoustic properties of the phantoms are usually measured by a well-established method, through-transmission ultrasonic spectroscopy [45,46,47,48]. The measured speed of sound for the fabricated phantoms was within the limits of soft tissues reported in the literature, as well as within the standards required by QIBA [10,30,33]. As previously demonstrated, a single freeze–thaw cycle at 10% PVA-C concentration provided a good match for soft tissues. The average speed of sound reported was 1540.3 ± 0.3 m/s and 1540.2 ± 0.1 m/s for the 1% and 2% cellulose concentrations, respectively [35].
The attenuation coefficient for soft tissues ranges between 0.5 and 3.3 dB/cm·MHz [10], with 0.6 ± 0.2 dB/cm·MHz the value required by QIBA [30]. A 10% PVA-C and 1% cellulose concentration provided a realistic speckle noise in the US images, although the measured attenuation coefficient was 0.030 ± 0.003 dB/cm·MHz [35]. Higher attenuation was achieved by increasing the cellulose concentration, since its modification has reportedly no significant effect in the speed of sound [31]. Thus, 2% cellulose concentration approximately doubled the attenuation coefficient to 0.071 dB/cm·MHz [35]. This value was within the range previously reported for PVA-C [49]. An extra increment in cellulose concentration would match the required attenuation values. As mentioned above, this is a feasible option provided by the flexibility of the fabrication process. Different materials, such as sucrose, introduce inhomogeneities that increase the realism of the phantom and further modify its acoustic properties [35,42].

3.2. Ultrasound Imaging

US characterization of the fabricated phantom was based on the images acquired using a standard portable US system (MicrUs EXT-1H, Telemed UAB). The acquired images confirmed the similarity of the fabricated phantoms to healthy lung parenchyma, as well as the embedded inclusions to common pathologies. This qualitative assessment was performed by a panel of experts composed of radiologists and pulmonologists. In order to compare these images to a real case scenario, the largest publicly available lung US dataset was employed [50,51]. This dataset is composed of images and videos of several lung pathologies as well as healthy controls.
For illustrative purposes, images showing the mimicked healthy lung parenchyma are displayed in Figure 3A. The lung US images of a subject are shown in Figure 3B,C. The lung surface is typically smooth for a healthy subject, whereas an unsmooth and heterogeneous surface indicates a pathology [2]. As can be seen in the images, the healthy lung parenchyma has a homogeneous speckled appearance similar to that of real tissues. Figure 4 shows a more detailed US image of the phantoms containing the 3D-printed ribs. In addition, the images illustrate the difference when the pleura is included (Figure 4B).
Several embedded inclusions are displayed in Figure 5 and Figure 6. In all the images, the healthy parenchyma is seen as a homogeneous background and the respective inclusions as hyperechoic or hypoechoic regions. Two solid inclusions are shown in Figure 5A,B, respectively, to demonstrate the flexibility of the fabrication process. Their main difference is the concentration of cellulose, 1% versus 2%, as well as the border shapes, either irregular or spherical. The boundaries of the inclusion in Figure 5A are barely noticed as compared to the parenchyma since its composition is similar. The additional freeze–thaw cycle required seemed to solely change the consistency of the inclusion. Furthermore, in Figure 5B, the accumulation of scatter from the parenchyma can be noticed on the top of the inclusion. The real scenario is displayed in Figure 5C. These solid inclusions resemble neoplasia, necrotizing pneumonia, abscesses, as well as lung consolidations [52,53,54]. Gaseous and liquid inclusions embedded on the phantoms are shown in Figure 6A,B. Figure 6C,D display real scenarios; that is, the lung US of a subject affected by pleural effusion and a liquid inclusion with internal tracks, respectively. The gaseous inclusion mimics a pneumothorax (Figure 6A). The liquid inclusion (Figure 6B) presents an echogenicity similar to that observed when pleural effusion occurs, although a laminar pattern is normally observed [54,55]. The small white region inside this inclusion resembles fibrinous layers that appear as partitions within the pleural effusion [56], as depicted in Figure 6D. Moreover, the inclusions made of PDMS, specifically the liquid ones, exhibited a strong signal at the outer surface as can be noticed in Figure 6B.
As mentioned above, although in a real scenario, the geometry of the displayed inclusions may not exactly correspond with that exhibited by the mentioned pathologies, these inclusions resemble their appearance and characteristic artifacts in the US images. At the phantom’s surface, the material was rigid enough to resist the deformation caused by the US transducer as in clinical practice. Additionally, no special care was required to maintain the integrity of the phantom’s surface.
An e-video (Video S1) is included as additional material. Different types of embedded inclusions as well as their location are shown by sweeping through the surface of one of the fabricated phantoms.

3.3. Invasive Surgical Procedures

The capabilities of the presented phantom were tested by experienced pulmonologists. In-plane and out-of-plane needle insertions were performed under US image guidance with different gauge needles. The content of the gaseous inclusions was extracted and refilled several times. The resistance of these inclusions to the needle insertion, and the recoil effect noticed, were similar to that experienced in a real scenario for a pneumothorax as determined by the experts. In this case, the needle produced barely visible tracks. This inclusion was refilled after several punctures. However, after leaving the phantom in storage for a few minutes, the gaseous inclusion was compressed and emptied.
A 21G needle was employed to perform FNA on the liquid inclusions. Similar to that observed before, these inclusions could be emptied and refilled several times. However, as opposed to the gaseous ones, most of the liquid remained within the inclusion after a few days in storage. For this needle gauge, the residual needle tracks were minimally visible.
An 18G needle was employed to perform CNB on the solid inclusions. For this gauge, the needle tracks were clearly visible as shown in Figure 7A. The material extracted from the CNB procedure is also shown (Figure 7B,C). After a few days in storage, the tracks were refilled with liquid by diffusion minimizing the impact of these tracks on the US images. Therefore, less visible tracks were observed. Several CNBs were carried out on the same inclusion to demonstrate plausible scenarios regarding the level of success of the procedure, as illustrated in Figure 7C. The color code used gives an account of the distance travelled within the phantom before performing the biopsy. Ideally, healthy and pathological tissues are necessary for further comparative analysis. Furthermore, the resistance to the needle insertion of the solid inclusion was similar to that typically encountered in vascular access procedures for the healthy parenchyma, abscesses, and neoplasms.
An e-video (Video S2) is included as additional material showing the CNB procedureon a solid inclusion.

3.4. Comparison to Commercial Phantoms

Commercially available US phantoms present a simplified anatomy, coarse morphology, and relatively high price for training a limited number of people [23]. In addition, some models only demonstrate a single pathology, and they are not dynamic [57]. The costs usually depend on the country and provider, but standard prices are in the order of a few thousand EUR [23]. Furthermore, the costs increase up to several tens of thousand EUR when provided with anthropomorphic detailed alternatives. The biopsy insertion requires sticking the corresponding needle into the phantom. This inherently destructive use may permanently damage the phantom, since many repeated insertions are performed for training purposes. The estimated number of biopsies achievable before ending the lifetime of the phantom depends on the end-user. Several models are currently available and have been reported in the literature for US-guided interventional procedures. The Blue Phantom series (CAE Healthcare, Sarasota, FL, USA) [58] offers multiple training opportunities. These include, among others, the lumbar puncture and spinal epidural training model, the abscess drainage training model, as well as the thoracic US model available for teaching US-guided pleural effusion assessment and drainage. In addition, the Zerdine©-based Image-guided Abdominal Biopsy Phantom (CIRS, Norfolk, VA, USA) [59] provides the means to visualize biopsy insertions producing minimal needle tracking during the lifetime of the phantom. The manufacturer specifies that debris and air bubbles entrained in the gel may cause some permanent tracking. Thus, higher gauge, wetted, and de-aired needles are recommended. Alternatively, the Kyoto lumbar trainer and the ABDFAN© (Kyoto Kagaku Co., Ltd., Kyoto, Japan) can also be found [60,61].

3.5. Comparison to Custom-Made Low-Cost Phantoms

Custom-made phantoms are the simplest solution to the cost problem of the commercial phantoms for US-guided vascular access. In this case, the fabrication is based on common and cheap materials. Three basic components are required: one to provide bulk, another to simulate US scatter, and a third to represent targets [62]. Regarding the bulk material, custom-made phantoms have been reported based on gelatin, agar, ballistic gel, tofu, and meat, including pork and chicken breast as cadaveric models of vascular access [20,28,57,63,64,65,66]. Particularly for the lung, sponges are also a common alternative [1]. The 3D-printed and low-cost alternative, based on more durable materials, is an exception since an adequate phantom could cost one or two orders of magnitude below those commercially available worldwide. Nevertheless, the use of 3D-printed materials prevents the performance of the required biopsy for training. Meat-based phantoms provide a more realistic scenario and have a closer echogenicity to that of human tissue. Non meat-based phantoms often have low background echogenicity that enhances needle visibility [28,66]. For this reason, scattering agents are usually employed for non meat-based phantoms. These included sugar-free Metamucil, flour, cornstarch, calcium carbide, silicium carbide, sugar-free psyllium, graphite particles, glass microspheres, reticulate foam, and cellulose [35,62,63,67]. Regarding the targets, a basic requirement is a clear distinction from the surrounding medium in the US images. However, the difference in acoustic impedances should not produce reverberations [9]. In addition, custom-made phantoms should ideally provide different levels of complexity and, if possible, be easily modulated [66]. Typically reported materials for targets have included silicon tubes, balloons, pipette bulbs, vegetables, pasta, etc., [62].
Of course, all these approaches present serious drawbacks, but there must be a tradeoff between the associated costs and the application at hand. For instance, needle track artifacts after repeated punctures are less visible in meat-based than in gelatin-based phantoms. Food-based phantoms require special storage conditions, and instability over time is a serious drawback [66]. In addition, meat-based phantoms, in certain situations, must be avoided due to the risk of the transmission of pathogens from uncooked meat. Further details regarding the advantages and limitations of available simulators for training US-guided procedures can be found in [9,28].
In summary, the proposed phantom exhibited several advantages that included longer durability, robustness, and reproducibility when compared to the above mentioned alternatives as well as to animal organ models for US-guided vascular access [29,65]. In addition, the phantom provided a great flexibility in terms of the internal structures that could be mimicked. Most importantly, the performance of biopsies was feasible. The phantom described in the present work can be reproduced in most labs. In order to do so, the only requirement is that of a standard chemical lab, its basic infrastructure, and the off-the-shelf materials. The price range of the phantom is in the same order of the 3D-printed and low-cost alternatives, approximately a few hundred EUR. As most available low-cost alternatives, the presented phantom mimicked healthy and pathological lung tissues without the pulmonary airways. Future work will be dedicated to obtain deformable lung phantoms and tackle one of the major challenges in thoracic radiotherapy [14]. In addition, the development of a fully anthropomorphic lung phantom will be considered. Thus, more specific and geometrically adjusted internal structures will be included.

4. Conclusions

A low-cost pseudo-anthropomorphic phantom was presented in which healthy lung parenchyma as well as pathologies of interest were mimicked. This phantom was easily replicable due to the simplicity and versatility of the fabrication process withoff-the-shelf materials namely PVA-C, cellulose, and PDMS. The inexpensive, deformable, and long shelflife phantom pres mechanical characteristics and acoustic properties similar to the soft tissues targeted. The acoustic properties were easily tuned by varying the concentration of its constituents and the number of freeze–thaw cycles. The previously reported average speed of sound and attenuation coefficient for 10% PVA-C and 1% cellulose were 1540.3 ± 0.3 m/s and 0.030 ± 0.003 dB/cm·MHz, respectively. This provided a realistic speckle noise in the US images. A 2% cellulose-concentration phantom reached values of 1540.2 ± 0.1 m/s and 0.071 dB/cm·MHz for the speed of sound and attenuation, respectively. The qualitative assessment of the US images confirmed the similarity of the fabricated phantoms, with and without inclusions, to healthy as well as pathological tissues. Additionally, the performance of multiple biopsies was feasible, as well as the possibility of emptying and refilling the gaseous and liquid inclusions several times. FNA and CNB procedures were performed under US guidance demonstrating the capabilities of the phantom for training purposes. The availability of this low-cost phantom offers an interesting tool to improve the ability to use thoracic diagnostic US imaging and US-guided interventions. Improvements are expected in the diagnosis and precision in therapeutic interventions for pathologies such as thoracentesis, endothoracic drainage placement, FNA, and CNB.

Supplementary Materials

The following supporting information can be downloaded at: https://0-www-mdpi-com.brum.beds.ac.uk/article/10.3390/gels9020074/s1, Video S1: US Sweeping through the Fabricated Phantom. An e-video shows the fabricated phantom. Different types of embedded inclusions can be observed by US sweeping through the surface. Notice that the fabricated ribs were extracted for the recording to facilitate the visualization of all the embedded inclusions; Video S2: CNB on a Solid Inclusion. An e-video shows a CNB procedure on a solid inclusion. The e-video was recorded with the ribs extracted to facilitate the visualization.

Author Contributions

Conceptualization, N.A.-M., E.V., A.B.L.G., M.E.G.G., O.A.F., J.R.-A. and J.G.-F.; methodology, N.A.-M., E.V., A.B.L.G. and J.G.-F.; software, N.A.-M., E.V., A.B.L.G. and J.G.-F.; validation, N.A.-M., E.V., A.B.L.G., M.E.G.G., O.A.F. and J.G.-F.; formal analysis, N.A.-M., E.V., A.B.L.G. and J.G.-F.; investigation, N.A.-M., E.V., A.B.L.G. and J.G.-F.; resources, N.A.-M., E.V., A.B.L.G., M.E.G.G., O.A.F., J.R.-A. and J.G.-F.; data curation, N.A.-M., E.V., A.B.L.G. and J.G.-F.; writing—original draft preparation, N.A.-M., E.V., A.B.L.G. and J.G.-F.; writing—review and editing, N.A.-M., E.V., A.B.L.G., M.E.G.G., O.A.F., J.R.-A. and J.G.-F.; visualization, N.A.-M., E.V., A.B.L.G. and J.G.-F.; supervision, N.A.-M., E.V., A.B.L.G., M.E.G.G., O.A.F., J.R.-A. and J.G.-F.; project administration, N.A.-M., E.V., A.B.L.G., J.R.-A. and J.G.-F.; funding acquisition, N.A.-M., E.V., A.B.L.G., M.E.G.G., O.A.F., J.R.-A. and J.G.-F. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported in part by Cabildo de Tenerife under IACTEC Technological Training Program, grant TF INNOVA 2016–2021, and the project MACBIOIDI2 MAC2/1.1b/352, within the INTERREG Program, funded by the European Regional Development Fund (ERDF).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Zhou, J.; Zhang, X. A lung phantom model to study pulmonary edema using lung ultrasound surface wave elastography. Ultrasound Med. Biol. 2018, 44, 2400–2405. [Google Scholar] [CrossRef] [PubMed]
  2. Zhang, X.; Osborn, T.; Zhou, B.; Meixner, D.; Kinnick, R.R.; Bartholmai, B.; Greenleaf, J.F.; Kalra, S. Lung ultrasound surface wave elastography: A pilot clinical study. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2017, 64, 1298–1304. [Google Scholar] [CrossRef] [PubMed]
  3. Mongodi, S.; Orlando, A.; Arisi, E.; Tavazzi, G.; Santangelo, E.; Caneva, L.; Pozzi, M.; Pariani, E.; Bettini, G.; Maggio, G.; et al. Lung ultrasound in patients with acute respiratory failure reduces conventional imaging and health care provider exposure to COVID-19. Ultrasound Med. Biol. 2020, 46, 2090–2093. [Google Scholar] [CrossRef] [PubMed]
  4. Nikitichev, D.I.; Barburas, A.; McPherson, K.; Mari, J.M.; West, S.J.; Desjardins, A.E. Construction of 3-dimensional printed ultrasound phantoms with wall-less vessels. J. Ultrasound Med. 2016, 35, 1333–1339. [Google Scholar] [CrossRef]
  5. Troianos, C.A.; Hartman, G.S.; Glas, K.E.; Skubas, N.J.; Eberhardt, R.T.; Walker, J.D.; Reeves, S.T.; Councils on Intraoperative Echocardiography and Vascular Ultrasound of the American Society of Echocardiography; Society of Cardiovascular Anesthesiologists. Special articles: Guidelines for performing ultrasound guided vascular cannulation: Recommendations of the American Society of Echocardiography and the Society of Cardiovascular Anesthesiologists. Anesth. Analg. 2012, 114, 46–72. [Google Scholar] [CrossRef]
  6. Davidson, I.J.; Yoo, M.C.; Biasucci, D.G.; Browne, P.; Dees, C.; Dolmatch, B.; Gallieni, M.; La Greca, A.; Korndorffer, J.R.; Nolen, B.; et al. Simulation training for vascular access interventions. J. Vasc. Access 2010, 11, 181–190. [Google Scholar] [CrossRef]
  7. Davidson, I.J.; Lok, C.; Dolmatch, B.; Gallieni, M.; Nolen, B.; Pittiruti, M.; Ross, J.; Slakey, D. Virtual reality: Emerging role of simulation training in vascular access. Proc. Semin. Nephrol. 2012, 32, 572–581. [Google Scholar] [CrossRef]
  8. Evans, L.V.; Dodge, K.L.; Shah, T.D.; Kaplan, L.J.; Siegel, M.D.; Moore, C.L.; Hamann, C.J.; Lin, Z.; D’onofrio, G. Simulation training in central venous catheter insertion: Improved performance in clinical practice. Acad. Med. 2010, 85, 1462–1469. [Google Scholar] [CrossRef]
  9. Sultan, S.F.; Shorten, G.; Iohom, G. Simulators for training in ultrasound guided procedures. Med. Ultrason. 2013, 15, 125–131. [Google Scholar] [CrossRef] [Green Version]
  10. Madsen, E.L.; Zagzebski, J.A.; Banjavie, R.A.; Jutila, R.E. Tissue mimicking materials for ultrasound phantoms. Med. Phys. 1978, 5, 391–394. [Google Scholar] [CrossRef]
  11. Ultrasound CIRS, Inc. Available online: https://www.cirsinc.com/product-category/ultrasound/ (accessed on 15 December 2022).
  12. CAE Healthcare. Available online: https://www.caehealthcare.com (accessed on 15 December 2022).
  13. Kyoto Kagaku Co., Ltd. Available online: https://www.kyotokagaku.com/en/ (accessed on 15 December 2022).
  14. Shin, D.S.; Kang, S.H.; Kim, K.H.; Kim, T.H.; Kim, D.S.; Chung, J.B.; Lucero, S.A.; Suh, T.S.; Yamamoto, T. Development of a deformable lung phantom with 3D-printed flexible airways. Med. Phys. 2020, 47, 898–908. [Google Scholar] [CrossRef] [PubMed]
  15. Nioutsikou, E.; Symonds-Tayler, J.R.N.; Bedford, J.L.; Webb, S. Quantifying the effect of respiratory motion on lung tumour dosimetry with the aid of a breathing phantom with deforming lungs. Phys. Med. Biol. 2006, 51, 3359. [Google Scholar] [CrossRef] [PubMed]
  16. Serban, M.; Heath, E.; Stroian, G.; Collins, D.L.; Seuntjens, J. A deformable phantom for 4D radiotherapy verification: Design and image registration evaluation. Med. Phys. 2008, 35, 1094–1102. [Google Scholar] [CrossRef] [PubMed]
  17. Chang, J.; Suh, T.S.; Lee, D.S. Development of a deformable lung phantom for the evaluation of deformable registration. J. Appl. Clin. Med. Phys. 2010, 11, 281–286. [Google Scholar] [CrossRef]
  18. Hong, D.; Lee, S.; Kim, G.B.; Lee, S.M.; Kim, N.; Seo, J.B. Development of a CT imaging phantom of anthromorphic lung using fused deposition modeling 3D printing. Medicine 2020, 99, e18617. [Google Scholar] [CrossRef]
  19. Gholampourkashi, S.; Cygler, J.E.; Lavigne, B.; Heath, E. Development of a deformable phantom for experimental verification of 4D Monte Carlo simulations in a deforming anatomy. Phys. Med. 2018, 51, 81–90. [Google Scholar] [CrossRef]
  20. Mirbeik-Sabzevari, A.; Tavassolian, N. Ultrawideband, stable normal and cancer skin tissue phantoms for millimeter-wave skin cancer imaging. IEEE Trans. Biomed. Eng. 2018, 66, 176–186. [Google Scholar] [CrossRef]
  21. Filippou, V.; Tsoumpas, C. Recent advances on the development of phantoms using 3D printing for imaging with CT, MRI, PET, SPECT, and ultrasound. Med. Phys. 2018, 45, e740–e760. [Google Scholar] [CrossRef] [Green Version]
  22. Maneas, E.; Xia, W.; Nikitichev, D.I.; Daher, B.; Manimaran, M.; Wong, R.Y.J.; Chang, C.W.; Rahmani, B.; Capelli, C.; Schievano, S.; et al. Anatomically realistic ultrasound phantoms using gel wax with 3D printed moulds. Phys. Med. Biol. 2018, 63, 015033. [Google Scholar] [CrossRef]
  23. Pacioni, A.; Carbone, M.; Freschi, C.; Viglialoro, R.; Ferrari, V.; Ferrari, M. Patient-specific ultrasound liver phantom: Materials and fabrication method. Int. J. Comput. Assist. Radiol. Surg. 2015, 10, 1065–1075. [Google Scholar] [CrossRef]
  24. Blüthgen, C.; Sanabria, S.; Frauenfelder, T.; Klingmüller, V.; Rominger, M. Economical sponge phantom for teaching, understanding, and researching A-and B-line reverberation artifacts in lung ultrasound. J. Ultrasound Med. 2017, 36, 2133–2142. [Google Scholar] [CrossRef] [Green Version]
  25. Molinari, F.; Madhuranthakam, A.J.; Lenkinski, R.; Bankier, A.A. Ultrashort echo time MRI of pulmonary water content: Assessment in a sponge phantom at 1.5 and 3.0 Tesla. Diagn. Interv. Radiol. 2014, 20, 34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Laing, J.; Moore, J.T.; Vassallo, R.; Bainbridge, D.; Drangova, M.; Peters, T.M. Patient-specific cardiac phantom for clinical training and preprocedure surgical planning. J. Med. Imaging 2018, 5, 021222. [Google Scholar] [CrossRef] [PubMed]
  27. Alves, N.; Kim, A.; Tan, J.; Hwang, G.; Javed, T.; Neagu, B.; Courtney, B.K. Cardiac tissue-mimicking ballistic gel phantom for ultrasound imaging in clinical and research applications. Ultrasound Med. Biol. 2020, 46, 2057–2069. [Google Scholar] [CrossRef]
  28. Selame, L.A.; Risler, Z.; Zakaria, S.J.; Hughes, L.P.; Lewiss, R.E.; Kehm, K.; Goodsell, K.; Kalwani, R.; Mirsch, D.; Kluger, S.B.; et al. A comparison of homemade vascular access ultrasound phantom models for peripheral intravenous catheter insertion. J. Vasc. Access 2021, 22, 891–897. [Google Scholar] [CrossRef]
  29. Adams, F.; Qiu, T.; Mark, A.; Fritz, B.; Kramer, L.; Schlager, D.; Wetterauer, U.; Miernik, A.; Fischer, P. Soft 3D-printed phantom of the human kidney with collecting system. Ann. Biomed. Eng. 2017, 45, 963–972. [Google Scholar] [CrossRef] [Green Version]
  30. Suga, M.; Usumura, M.; Kishimoto, R.; Mizoguchi, T.; Yamaguchi, T.; Obata, T. Development of a viscoelastic phantom for ultrasound and MR elastography satisfying the QIBA acoustic specifications. In Proceedings of the 2020 IEEE International Ultrasonics Symposium (IUS), Las Vegas, NV, USA, 7–11 September 2020; pp. 1–3. [Google Scholar]
  31. Fromageau, J.; Gennisson, J.L.; Schmitt, C.; Maurice, R.L.; Mongrain, R.; Cloutier, G. Estimation of polyvinyl alcohol cryogel mechanical properties with four ultrasound elastography methods and comparison with gold standard testings. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2007, 54, 498–509. [Google Scholar] [CrossRef] [PubMed]
  32. Elvira, L.; Durán, C.; Higuti, R.T.; Tiago, M.M.; Ibáñez, A.; Parrilla, M.; Valverde, E.; Jiménez, J.; Bassat, Q. Development and characterization of medical phantoms for ultrasound imaging based on customizable and mouldable polyvinyl alcohol Cryogel–Based materials and 3-D printing: Application to high-frequency cranial ultrasonography in infants. Ultrasound Med. Biol. 2019, 45, 2226–2241. [Google Scholar] [CrossRef]
  33. Surry, K.; Austin, H.; Fenster, A.; Peters, T. Poly (vinyl alcohol) cryogel phantoms for use in ultrasound and MR imaging. Phys. Med. Biol. 2004, 49, 5529. [Google Scholar] [CrossRef]
  34. Wan, W.; Bannerman, A.D.; Yang, L.; Mak, H. Poly (vinyl alcohol) cryogels for biomedical applications. Polym. Cryogels 2014, 263, 283–321. [Google Scholar]
  35. Villa, E.; Arteaga-Marrero, N.; González-Fernández, J.; Ruiz-Alzola, J. Bimodal microwave and ultrasound phantoms for non-invasive clinical imaging. Sci. Rep. 2020, 10, 20401. [Google Scholar] [CrossRef] [PubMed]
  36. Cao, Y.; Li, G.Y.; Zhang, X.; Liu, Y.L. Tissue-mimicking materials for elastography phantoms: A review. Extrem. Mech. Lett. 2017, 17, 62–70. [Google Scholar] [CrossRef]
  37. Chen, A.I.; Balter, M.L.; Chen, M.I.; Gross, D.; Alam, S.K.; Maguire, T.J.; Yarmush, M.L. Multilayered tissue mimicking skin and vessel phantoms with tunable mechanical, optical, and acoustic properties. Med. Phys. 2016, 43, 3117–3131. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Culjat, M.O.; Goldenberg, D.; Tewari, P.; Singh, R.S. A review of tissue substitutes for ultrasound imaging. Ultrasound Med. Biol. 2010, 36, 861–873. [Google Scholar] [CrossRef] [PubMed]
  39. King, D.M.; Hangiandreou, N.J.; Tradup, D.J.; Stekel, S.F. Evaluation of a low-cost liquid ultrasound test object for detection of transducer artefacts. Phys. Med. Biol. 2010, 55, N557. [Google Scholar] [CrossRef] [PubMed]
  40. Bhaladhare, S.; Das, D. Cellulose: A fascinating biopolymer for hydrogel synthesis. J. Mater. Chem. B 2022, 10, 1923–1945. [Google Scholar] [CrossRef]
  41. Liu, Y.; Ahmed, S.; Sameen, D.E.; Wang, Y.; Lu, R.; Dai, J.; Li, S.; Qin, W. A review of cellulose and its derivatives in biopolymer-based for food packaging application. Trends Food Sci. Technol. 2021, 112, 532–546. [Google Scholar] [CrossRef]
  42. Arteaga-Marrero, N.; Villa, E.; González-Fernández, J.; Martín, Y.; Ruiz-Alzola, J. Polyvinyl alcohol cryogel phantoms of biological tissues for wideband operation at microwave frequencies. PLoS ONE 2019, 14, e0219997. [Google Scholar] [CrossRef] [Green Version]
  43. Clegg, A.J. Precision Casting Processes; Pergamon Press: Oxford, UK, 1991. [Google Scholar]
  44. Cook, J.R.; Bouchard, R.R.; Emelianov, S.Y. Tissue-mimicking phantoms for photoacoustic and ultrasonic imaging. Biomed. Opt. Express 2011, 2, 3193–3206. [Google Scholar] [CrossRef]
  45. Zell, K.; Sperl, J.I.; Vogel, M.W.; Niessner, R.; Haisch, C. Acoustical properties of selected tissue phantom materials for ultrasound imaging. Phys. Med. Biol. 2007, 52, N475. [Google Scholar] [CrossRef]
  46. Sachse, W.; Pao, Y.H. On the determination of phase and group velocities of dispersive waves in solids. J. Appl. Phys. 1978, 49, 4320–4327. [Google Scholar] [CrossRef]
  47. Wang, H.; Cao, W. Improved ultrasonic spectroscopy methods for characterization of dispersive materials. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2001, 48, 1060–1065. [Google Scholar] [CrossRef] [PubMed]
  48. Marsh, J.N.; Hall, C.S.; Hughes, M.S.; Mobley, J.; Miller, J.G.; Brandenburger, G.H. Broadband through-transmission signal loss measurements of Albunex® suspensions at concentrations approaching in vivo doses. J. Acoust. Soc. Am. 1997, 101, 1155–1161. [Google Scholar] [CrossRef]
  49. Kharine, A.; Manohar, S.; Seeton, R.; Kolkman, R.G.; Bolt, R.A.; Steenbergen, W.; de Mul, F.F. Poly (vinyl alcohol) gels for use as tissue phantoms in photoacoustic mammography. Phys. Med. Biol. 2003, 48, 357. [Google Scholar] [CrossRef] [PubMed]
  50. Born, J.; Wiedemann, N.; Cossio, M.; Buhre, C.; Brändle, G.; Leidermann, K.; Goulet, J.; Aujayeb, A.; Moor, M.; Rieck, B.; et al. Accelerating detection of lung pathologies with explainable ultrasound image analysis. Appl. Sci. 2021, 11, 672. [Google Scholar] [CrossRef]
  51. Automatic Detection of COVID-19 from Ultrasound Data. Available online: https://github.com/BorgwardtLab/covid19_ultrasound (accessed on 24 October 2022).
  52. Liu, J.; Chen, S.W.; Liu, F.; Wang, Y.; Kong, X.Y.; Li, Q.P.; Huang, J.J. BPD, not BPD, or iatrogenic BPD: Findings of lung ultrasound examinations. Medicine 2014, 93, e133. [Google Scholar] [CrossRef] [PubMed]
  53. Wang, S.; Yang, W.; Zhang, H.; Xu, Q.; Yan, K. The role of contrast-enhanced ultrasound in selection indication and improveing diagnosis for transthoracic biopsy in peripheral pulmonary and mediastinal lesions. BioMed Res. Int. 2015, 2015, 231782. [Google Scholar] [CrossRef] [Green Version]
  54. Karabinis, A.; Saranteas, T.; Karakitsos, D.; Lichtenstein, D.; Poularas, J.; Yang, C.; Stefanadis, C. The ’cardiac-lung mass’ artifact: An echocardiographic sign of lung atelectasis and/or pleural effusion. Crit. Care 2008, 12, R122. [Google Scholar] [CrossRef] [Green Version]
  55. Brogi, E.; Gargani, L.; Bignami, E.; Barbariol, F.; Marra, A.; Forfori, F.; Vetrugno, L. Thoracic ultrasound for pleural effusion in the intensive care unit: A narrative review from diagnosis to treatment. Crit. Care 2017, 21, 325. [Google Scholar] [CrossRef]
  56. Efremov, S.M.; Kuzkov, V.V.; Fot, E.V.; Kirov, M.Y.; Ponomarev, D.N.; Lakhin, R.E.; Kokarev, E.A. Lung ultrasonography and cardiac surgery: A narrative review. J. Cardiothorac. Vasc. Anesth. 2020, 34, 3113–3124. [Google Scholar] [CrossRef]
  57. Rippey, J.; Gawthrope, I. Creating thoracic phantoms for diagnostic and procedural ultrasound training. Australas. J. Ultrasound Med. 2012, 15, 43–54. [Google Scholar] [CrossRef] [PubMed]
  58. CAE Blue Phantom (Vascular Access). Available online: https://medicalskillstrainers.cae.com/139/vascular-access?initialMap=139&initialQuery=139&map=productClusterIds,specialty (accessed on 15 December 2022).
  59. Image-Guided Abdominal Biopsy Phantom. Available online: http://www.cirsinc.com/wp-content/uploads/2019/04/071B-DS-120418.pdf (accessed on 24 October 2022).
  60. Lumbar Puncture Simulator IIA. Available online: https://www.kyotokagaku.com/en/products_data/m43b_en/ (accessed on 15 December 2022).
  61. Ultrasound Examination Training Phantom “ABDFAN”. Available online: https://www.kyotokagaku.com/products_data/us1b_catalog_en.pdf (accessed on 24 October 2022).
  62. Kendall, J.L.; Faragher, J.P. Ultrasound-guided central venous access: A homemade phantom for simulation. Can. J. Emerg. Med. 2007, 9, 371–373. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Nicholson, R.; Crofton, M. Training phantom for ultrasound guided biopsy. Br. J. Radiol. 1997, 70, 192–194. [Google Scholar] [CrossRef]
  64. Amato, A.C.M.; Freitas, S.L.D.; Veloso, P.M.; Correia, T.C.V.; Santos, R.V.D.; Amato, S.J.D.T.A. Gelatin model for training ultrasound-guided puncture. J. Vasc. Bras. 2015, 14, 200–204. [Google Scholar] [CrossRef]
  65. Sanchez-de Toledo, J.; Villaverde, I. Advanced low-cost ultrasound-guided vascular access simulation: The chicken breast model. Pediatr. Emerg. Care 2017, 33, e43–e45. [Google Scholar] [CrossRef]
  66. Rippey, J.C.; Blanco, P.; Carr, P.J. An affordable and easily constructed model for training in ultrasound-guided vascular access. J. Vasc. Access 2015, 16, 422–427. [Google Scholar] [CrossRef]
  67. Fredfeldt, K. An easily made ultrasound biopsy phantom. J. Ultrasound Med. 1986, 5, 295–297. [Google Scholar] [CrossRef]
Figure 1. The fabricated inclusions before being embedded into the PVA-C block mimicking the healthy parenchyma. (A) PVA-C solid inclusions with irregular shape and color coded. (B) Gaseous (transparent) and liquid (blue) inclusions with irregular and spherical shapes fabricated with PDMS.
Figure 1. The fabricated inclusions before being embedded into the PVA-C block mimicking the healthy parenchyma. (A) PVA-C solid inclusions with irregular shape and color coded. (B) Gaseous (transparent) and liquid (blue) inclusions with irregular and spherical shapes fabricated with PDMS.
Gels 09 00074 g001
Figure 2. The fabricated phantom with embedded inclusions placed in the storage container. Dimensions: 165 mm × 75 mm × 50 mm (width × depth × height).
Figure 2. The fabricated phantom with embedded inclusions placed in the storage container. Dimensions: 165 mm × 75 mm × 50 mm (width × depth × height).
Gels 09 00074 g002
Figure 3. (A) US image of the fabricated PVA-C phantoms mimicking the healthy parenchyma. (B) Lung US of a subject with pleural thickening on the underlying healthy parenchyma as well as the shadow caused by the ribs. (C) Lung ultrasound of a healthy subject showing the A-lines typically observed in the normal parenchyma. The details of the acquisition for the images (B,C) can be found in [50,51].
Figure 3. (A) US image of the fabricated PVA-C phantoms mimicking the healthy parenchyma. (B) Lung US of a subject with pleural thickening on the underlying healthy parenchyma as well as the shadow caused by the ribs. (C) Lung ultrasound of a healthy subject showing the A-lines typically observed in the normal parenchyma. The details of the acquisition for the images (B,C) can be found in [50,51].
Gels 09 00074 g003
Figure 4. US image of the fabricated PVA-C phantoms including the ribs without (A) and with (B) mimicked pleura.
Figure 4. US image of the fabricated PVA-C phantoms including the ribs without (A) and with (B) mimicked pleura.
Gels 09 00074 g004
Figure 5. US images of solid inclusions embedded in the PVA-C phantom (A,B) as well as a real lung ultrasound (C). These PVA-C solid inclusions mimic the healthy parenchyma and demonstrate the flexibility of the fabrication: (A) with an irregular shape (10% PVA-C and 1% cellulose) and (B) with a spherical shape (12.5% PVA-C and 2% cellulose). (C) Lung ultrasound of a subject exhibiting a consolidation caused by pneumonia. The details of the acquisition for image (C) can be found in [50,51].
Figure 5. US images of solid inclusions embedded in the PVA-C phantom (A,B) as well as a real lung ultrasound (C). These PVA-C solid inclusions mimic the healthy parenchyma and demonstrate the flexibility of the fabrication: (A) with an irregular shape (10% PVA-C and 1% cellulose) and (B) with a spherical shape (12.5% PVA-C and 2% cellulose). (C) Lung ultrasound of a subject exhibiting a consolidation caused by pneumonia. The details of the acquisition for image (C) can be found in [50,51].
Gels 09 00074 g005
Figure 6. US images of gaseous and liquid inclusions embedded in the PVA-C phantom (A,B) as well as real lung ultrasounds (C,D). (A) An air-filled inclusion and (B) a liquid inclusion filled with 0.9% saline solution. (C) Lung ultrasound of a subject affected by pleural effusion. (D) Pleural effusion with compressive atelectasis of the lung caused by effusion. The details of the acquisition for the images (C,D) can be found in [50,51].
Figure 6. US images of gaseous and liquid inclusions embedded in the PVA-C phantom (A,B) as well as real lung ultrasounds (C,D). (A) An air-filled inclusion and (B) a liquid inclusion filled with 0.9% saline solution. (C) Lung ultrasound of a subject affected by pleural effusion. (D) Pleural effusion with compressive atelectasis of the lung caused by effusion. The details of the acquisition for the images (C,D) can be found in [50,51].
Gels 09 00074 g006
Figure 7. Coarse needle biopsy (CNB): (A) 18G needle tracks produced on the phantom after performing several CNBs on a solid inclusion. (B) Material extracted from the phantom when the CNB fails. The extraction of white material indicates that the biopsy was performed at an unsuitable depth, before reaching the inclusion or completely puncturing it. (C) Material extracted in subsequent CNBs. The level of success can be quantified by the proportion of light red material extracted, since this indicates the distance travelled within the phantom and the inclusion, before performing the biopsy.
Figure 7. Coarse needle biopsy (CNB): (A) 18G needle tracks produced on the phantom after performing several CNBs on a solid inclusion. (B) Material extracted from the phantom when the CNB fails. The extraction of white material indicates that the biopsy was performed at an unsuitable depth, before reaching the inclusion or completely puncturing it. (C) Material extracted in subsequent CNBs. The level of success can be quantified by the proportion of light red material extracted, since this indicates the distance travelled within the phantom and the inclusion, before performing the biopsy.
Gels 09 00074 g007
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Arteaga-Marrero, N.; Villa, E.; Llanos González, A.B.; Gómez Gil, M.E.; Fernández, O.A.; Ruiz-Alzola, J.; González-Fernández, J. Low-Cost Pseudo-Anthropomorphic PVA-C and Cellulose Lung Phantom for Ultrasound-Guided Interventions. Gels 2023, 9, 74. https://0-doi-org.brum.beds.ac.uk/10.3390/gels9020074

AMA Style

Arteaga-Marrero N, Villa E, Llanos González AB, Gómez Gil ME, Fernández OA, Ruiz-Alzola J, González-Fernández J. Low-Cost Pseudo-Anthropomorphic PVA-C and Cellulose Lung Phantom for Ultrasound-Guided Interventions. Gels. 2023; 9(2):74. https://0-doi-org.brum.beds.ac.uk/10.3390/gels9020074

Chicago/Turabian Style

Arteaga-Marrero, Natalia, Enrique Villa, Ana Belén Llanos González, Marta Elena Gómez Gil, Orlando Acosta Fernández, Juan Ruiz-Alzola, and Javier González-Fernández. 2023. "Low-Cost Pseudo-Anthropomorphic PVA-C and Cellulose Lung Phantom for Ultrasound-Guided Interventions" Gels 9, no. 2: 74. https://0-doi-org.brum.beds.ac.uk/10.3390/gels9020074

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