Radiomics in Medulloblastoma: Advancing Non-Invasive Diagnosis, Molecular Subtyping, and Prognostication

Motivation: As medulloblastoma (MB) management advances, radiomics provides a non-invasive avenue to improve diagnosis, subtyping, and prognostication. By consolidating current evidence, this study clarifies radiomics' capability to address these critical aspects effectively. Goal(s): To systematically evaluate radiomics' accuracy in MB diagnosis, subtype differentiation, and prognostic insights, identifying specific imaging markers that could strengthen clinical decision-making. Approach: We analyzed 21 qualified studies to assess the efficacy of radiomic features. Results: Radiomics showed encouraging classification accuracies, with some models reaching up to 95% in differentiating MB fromothertumors. CE-T1, GLCM, and ADC metrics provided valuable insights into subtype characteristics and potential prognostic indicators. Impact: This study underscores radiomics' potential to refine non-invasive MB management, aiding clinicians in earlier, more precise diagnoses and individualized treatment plans. It highlights encouraging imaging markers that may inspire future research on radiomics-driven clinical protocols and patient outcomes.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2090
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Radiomics in Medulloblastoma: Advancing Non-Invasive Diagnosis, Molecular Subtyping, and Prognostication

Fardin Samadi Khoshe Mehr, MirHojjat Khorasanizadeh, Ataollah Shahbandi, Samuel Berchi Kankam et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Radiomics in Medulloblastoma: Advancing Non-Invasive Diagnosis, Molecular Subtyping, and Prognostication

Fardin Samadi Khoshe Mehr, MirHojjat Khorasanizadeh, Ataollah Shahbandi, Samuel Berchi Kankam, Lola B. Chambless, Maryam Fotouhi, M. Shahla, Seyed Mobin Nouredini
article en

Abstract

Motivation: As medulloblastoma (MB) management advances, radiomics provides a non-invasive avenue to improve diagnosis, subtyping, and prognostication. By consolidating current evidence, this study clarifies radiomics' capability to address these critical aspects effectively. Goal(s): To systematically evaluate radiomics' accuracy in MB diagnosis, subtype differentiation, and prognostic insights, identifying specific imaging markers that could strengthen clinical decision-making. Approach: We analyzed 21 qualified studies to assess the efficacy of radiomic features. Results: Radiomics showed encouraging classification accuracies, with some models reaching up to 95% in differentiating MB fromothertumors. CE-T1, GLCM, and ADC metrics provided valuable insights into subtype characteristics and potential prognostic indicators. Impact: This study underscores radiomics' potential to refine non-invasive MB management, aiding clinicians in earlier, more precise diagnoses and individualized treatment plans. It highlights encouraging imaging markers that may inspire future research on radiomics-driven clinical protocols and patient outcomes.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Radiomics and Machine Learning in Medical Imaging
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Radiomics in Medulloblastoma: Advancing Non-Invasive Diagnosis, Molecular Subtyping, and Prognostication — Fardin Samadi Khoshe Mehr, MirHojjat Khorasanizadeh, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS