Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.

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Abstract

Preoperative prediction of isocitrate dehydrogenase 1 (IDH1) mutation in lower-grade gliomas (LGGs) is crucial for clinical decision-making. This study aimed to examine the predictive value of a machine learning approach using qualitative and quantitative MRI features to identify the IDH1 mutation in LGGs.

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Journal

Journal ID (iso-abbrev): Biomed Res Int

Title: BioMed research international

Publisher: Wiley

ISSN (Electronic): 2314-6141

Publication date (Electronic): 2021

Volume: 2021

Affiliations

[1 ] Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.

[2 ] Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.

[3 ] Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai 519000, China.

[4 ] Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Article

DOI: 10.1155/2021/1235314

PMC ID: 7847347

PubMed ID: 33553421

SO-VID: 6be6caff-ed36-4896-9ed4-9838710e0e74

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