A quantitative SVM approach potentially improves the accuracy of magnetic resonance spectroscopy in the preoperative evaluation of the grades of diffuse gliomas

A quantitative SVM approach potentially improves the accuracy of magnetic resonance spectroscopy in the preoperative evaluation of the grades of diffuse gliomas

Abstrct: Objectives: To investigate the association between proton magnetic resonance spectroscopy (1H-MRS) metabolic features and the grade of gliomas, and to establish a machine-learning model to predict the glioma grade. Methods: This study included 112 glioma patients who were divided into the...

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Bibliographic Details
Main Authors: Chong Qi, Yiming Li, Xing Fan, Yin Jiang, Rui Wang, Song Yang, Lanxi Meng, Tao Jiang, Shaowu Li
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158219301858

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