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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Hlavní autoři:	Chen Chen, Lifang Hao, Bin Bai, Guijun Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2025-01-01
Edice:	BMC Medical Imaging
Témata:	Recurrence Radiomics Knowledge discovery Neoplasms
On-line přístup:	https://doi.org/10.1186/s12880-024-01483-2
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