ArticleNeuro-oncology advances
Radiomic-based prognostic score for survival risk-stratification in pediatric medulloblastoma tumors: A multi-institutional study.
Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: 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. Methods: One hundred and nineteen MRI scans for MB patients were collected from 3 institutions (Site 1: Results: RaMP outperformed clinical standard-of-care assessment when employed for risk-stratification. For instance, when using Sites 1 and 3 for training and Site 2 for testing, significant differences were observed across edema and the tumor habitat with Conclusions: Our work shows the promise of radiomic analysis in risk-stratification and predicting outcomes in pediatric MB.
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