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Abstract #2090

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

Maryam Fotouhi1, Ataollah Shahbandi2, Fardin Samadi Khoshe Mehr3, Mahdi Mohammadzadeh Shahla4, Seyed Mobin Nouredini5, Samuel B Kankam6, MirHojjat Khorasanizadeh7, and Lola Chambless8
1Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Tehran, Iran (Islamic Republic of), 2School of Medicine, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Medical Physics and Engineering Department, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 4School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran (Islamic Republic of), 5Faculty of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran (Islamic Republic of), 6Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA, United States, 7Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York, NY, United States, 8Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, United States

Synopsis

Keywords: Neuro, Radiomics, Medulloblastoma, Biomarkers, Diagnosis, Sub-classification, Prognosis

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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Keywords