Development and validation of a preoperative magnetic resonance imaging-based and machine learning model for the noninvasive differentiation of intracranial glioblastoma, primary central nervous system lymphoma and brain metastases: a retrospective analysis

Development and validation of a preoperative magnetic resonance imaging-based and machine learning model for the noninvasive differentiation of intracranial glioblastoma, primary central nervous system lymphoma and brain metastases: a retrospective analysis

BackgroundAccurate preoperative identification of intracranial glioblastoma (GB), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) is crucial for determining the appropriate treatment strategy.PurposeWe aimed to develop and validate the utility of preoperative magnetic reso...

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Bibliographic Details
Main Authors: Yuxiang Sun, Junpeng Xu, Dongsheng Kong, Yu Zhang, Qijia Wu, Liqin Wei, Zihao Zhu, Chunhui Li, Shiyu Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Oncology
Subjects:
central nervous system malignant tumors
machine learning
magnetic resonance imaging; multi-classification
glioblastoma
PCNSL = primary CNS lymphoma
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1541350/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1541350/full

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