{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["7(1)"],"submitter":["Ismail M"],"funding":["The Dana Foundation David Mahoney Neuroimaging Program"],"pubmed_abstract":["<h4>Background</h4>Medulloblastoma (MB) is the most common malignant brain tumor in children and is known for substantial heterogeneity. MB is classified into low/average- and high-risk; however, improving risk-stratification remains one of the biggest challenges in MB. Enriching risk-stratification offers potential treatment intensification for high-risk MB while decreasing treatment sequalae in low-risk MB through treatment de-escalation. This work presents a new radiomics-based medulloblastoma prognostic (RaMP) score that quantifies the tumor heterogeneity by analyzing routine clinical imaging. The hypothesis is that radiomic (computational) features can analyze the complex behavior and heterogeneity of MB tumors, allowing for segregating high-risk tumors from the ones with low risk.<h4"],"journal":["Neuro-oncology advances"],"pagination":["vdaf107"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12284643"],"repository":["biostudies-literature"],"pubmed_title":["Radiomic-based prognostic score for survival risk-stratification in pediatric medulloblastoma tumors: A multi-institutional study."],"pmcid":["PMC12284643"],"pubmed_authors":["de Blank P","Ismail M","Um H","Tiwari P","Salloum R","Pineda G","Ahmed R","Hollnagel F"],"additional_accession":[]},"is_claimable":false,"name":"Radiomic-based prognostic score for survival risk-stratification in pediatric medulloblastoma tumors: A multi-institutional study.","description":"<h4>Background</h4>Medulloblastoma (MB) is the most common malignant brain tumor in children and is known for substantial heterogeneity. MB is classified into low/average- and high-risk; however, improving risk-stratification remains one of the biggest challenges in MB. Enriching risk-stratification offers potential treatment intensification for high-risk MB while decreasing treatment sequalae in low-risk MB through treatment de-escalation. This work presents a new radiomics-based medulloblastoma prognostic (RaMP) score that quantifies the tumor heterogeneity by analyzing routine clinical imaging. The hypothesis is that radiomic (computational) features can analyze the complex behavior and heterogeneity of MB tumors, allowing for segregating high-risk tumors from the ones with low risk.<h4","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan-Dec","modification":"2026-03-16T05:18:00.635Z","creation":"2025-08-15T03:06:26.517Z"},"accession":"S-EPMC12284643","cross_references":{"pubmed":["40703799"],"doi":["10.1093/noajnl/vdaf107"]}}