Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach
Purpose. 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 m...
Main Authors: | Mengqiu Cao, Shiteng Suo, Xiao Zhang, Xiaoqing Wang, Jianrong Xu, Wei Yang, Yan Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2021/1235314 |
Similar Items
-
Simplified perfusion fraction from diffusion-weighted imaging in preoperative prediction of IDH1 mutation in WHO grade II–III gliomas: comparison with dynamic contrast-enhanced and intravoxel incoherent motion MRI
by: Wang Xiaoqing, et al.
Published: (2020-06-01) -
Raman Spectroscopy and Machine Learning for IDH Genotyping of Unprocessed Glioma Biopsies
by: Tommaso Sciortino, et al.
Published: (2021-08-01) -
Molecular and clinical characterization of IDH associated immune signature in lower-grade gliomas
by: Zenghui Qian, et al.
Published: (2018-06-01) -
The Value of Enhanced MR Radiomics in Estimating the IDH1 Genotype in High-Grade Gliomas
by: Lei Niu, et al.
Published: (2020-01-01) -
Vessel Size Imaging is Associated with IDH Mutation and Patient Survival in Diffuse Lower-Grade Glioma
by: Kang H, et al.
Published: (2020-10-01)