Knowledge discovery from database: MRI radiomic features to assess recurrence risk in high-grade meningiomas

Knowledge discovery from database: MRI radiomic features to assess recurrence risk in high-grade meningiomas

Abstract Purpose We used knowledge discovery from radiomics of T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (T1C) for assessing relapse risk in patients with high-grade meningiomas (HGMs). Methods 279 features were extracted from each ROI including 9 histogram features, 220 G...

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Bibliographic Details
Main Authors: Chen Chen, Lifang Hao, Bin Bai, Guijun Zhang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Imaging
Subjects:
Recurrence
Radiomics
Knowledge discovery
Neoplasms
Online Access:https://doi.org/10.1186/s12880-024-01483-2
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https://doi.org/10.1186/s12880-024-01483-2

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