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...
| Published in: | Frontiers in Oncology |
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| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
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| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1541350/full |
