Imaging and Pathological Markers for Metastatic Brain Tumors

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neuro-oncology".

Deadline for manuscript submissions: closed (24 March 2022) | Viewed by 5952

Special Issue Editors


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Guest Editor
1. Department of Anatomy and Embryology, Morphological Sciences, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
2. Department of Radiology, Emergency County Hospital, Cluj-Napoca, Romania
3. Department of Interventional Radiology, Emergency County Hospital, Târgu Mureș, Romania
Interests: neuroimaging; MRI; texture analysis; computer-aided diagnosis; radiomics
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Guest Editor
Department of Histology, Morphological Sciences, "Iuliu Hațieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
Interests: neuropathology; brain tumors; molecular markers; differential diagnosis; prognostic and predictive factors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Secondary brain tumors (metastasis) affect up to one third of oncological patients, representing a major cause of systemic morbidity and mortality. The incidence of brain metastasis is increasing, likely due to improved imaging detection of small lesions and advanced management of extracerebral disease.

The imaging differentiation between brain metastases and other pathologies such as primary tumors, demyelinating lesions, infections, infarction, and hemorrhage can strongly influence the clinical outcome. However, classic magnetic resonance (MRI) brain sequences can prove to be insufficient to certify diagnosis. Radiomics and Artificial Intelligence applications on one hand and advanced MRI techniques on the other (such as magnetic resonance spectroscopy, quantitative magnetization transfer, TRANS-membrane water exchange, chemical exchange saturation transfer MRI, perfusion imaging, etc.) can have an important role in tumor detection, differentiating malignancy types, evaluating treatment response, and even predicting survival. In order to highlight more accurately the importance of the new imaging methods in brain metastases detection and differential diagnosis, histopathological analysis will be taken into account, focusing on new molecular markers determined by both genetics and immuhistochemistry.

This Special Issue will highlight advances in brain metastases imaging, with a focus on radiomics, AI applications, quantitative imaging, and advanced MRI sequences. Manuscripts that investigate new modalities of the histopathological diagnosis of brain metastases are also welcomed.

Dr. Paul-Andrei Ștefan
Guest Editor

Dr. Sergiu Șușman
Co-Guest Editor

Manuscript Submission Information

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Keywords

  • brain metastases
  • glioma
  • MRI
  • radiomics
  • pathology
  • texture analysis

Published Papers (1 paper)

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Research

13 pages, 21217 KiB  
Article
CT in the Differentiation of Gliomas from Brain Metastases: The Radiomics Analysis of the Peritumoral Zone
by Lucian Mărginean, Paul Andrei Ștefan, Andrei Lebovici, Iulian Opincariu, Csaba Csutak, Roxana Adelina Lupean, Paul Alexandru Coroian and Bogdan Andrei Suciu
Brain Sci. 2022, 12(1), 109; https://0-doi-org.brum.beds.ac.uk/10.3390/brainsci12010109 - 14 Jan 2022
Cited by 15 | Viewed by 5412
Abstract
Due to their similar imaging features, high-grade gliomas (HGGs) and solitary brain metastases (BMs) can be easily misclassified. The peritumoral zone (PZ) of HGGs develops neoplastic cell infiltration, while in BMs the PZ contains pure vasogenic edema. As the two PZs cannot be [...] Read more.
Due to their similar imaging features, high-grade gliomas (HGGs) and solitary brain metastases (BMs) can be easily misclassified. The peritumoral zone (PZ) of HGGs develops neoplastic cell infiltration, while in BMs the PZ contains pure vasogenic edema. As the two PZs cannot be differentiated macroscopically, this study investigated whether computed tomography (CT)-based texture analysis (TA) of the PZ can reflect the histological difference between the two entities. Thirty-six patients with solitary brain tumors (HGGs, n = 17; BMs, n = 19) that underwent CT examinations were retrospectively included in this pilot study. TA of the PZ was analyzed using dedicated software (MaZda version 5). Univariate, multivariate, and receiver operating characteristics analyses were used to identify the best-suited parameters for distinguishing between the two groups. Seven texture parameters were able to differentiate between HGGs and BMs with variable sensitivity (56.67–96.67%) and specificity (69.23–100%) rates. Their combined ability successfully identified HGGs with 77.9–99.2% sensitivity and 75.3–100% specificity. In conclusion, the CT-based TA can be a useful tool for differentiating between primary and secondary malignancies. The TA features indicate a more heterogenous content of the HGGs’ PZ, possibly due to the local infiltration of neoplastic cells. Full article
(This article belongs to the Special Issue Imaging and Pathological Markers for Metastatic Brain Tumors)
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