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Molecular subtype classification of low-grade gliomas using magnetic resonance imaging-based radiomics and machine learning.

NMR in biomedicine - 1 Nov 2022

Lam Luu Ho Thanh, Do Duyen Thi, Diep Doan Thi Ngoc, Nguyet Dang Le Nhu, Truong Quang Dinh, Tri Tran Thanh, Thanh Huynh Ngoc, Le Nguyen Quoc Khanh

Abstract excerpt

In 2016, the World Health Organization (WHO) updated the glioma classification by incorporating molecular biology parameters, including low-grade glioma (LGG). In the new scheme, LGGs have three molecular subtypes: isocitrate dehydrogenase (IDH)-mutated 1p/19q-codeleted, IDH-mutated 1p/19q-noncodeleted, and IDH-wild type 1p/19q-noncodeleted entities. This work proposes a model prediction of LGG molecular subtypes...

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Brain Neoplasms
Glioma
Isocitrate Dehydrogenase
Machine Learning
Magnetic Resonance Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 35767281
DOI: 10.1002/nbm.4792

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