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

Journal: BioMed research international
Published Date: Jan 22, 2021

Abstract

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 mutation in LGGs.

Authors

  • Mengqiu Cao
    School of Architecture and Cities, University of Westminster, London, UK.
  • Shiteng Suo
    Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127.
  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Xiaoqing Wang
    Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
  • Jianrong Xu
    Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127.
  • Wei Yang
    Key Laboratory of Structure-Based Drug Design and Discovery (Shenyang Pharmaceutical University), Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, PR China. Electronic address: 421063202@qq.com.
  • Yan Zhou
    Department of Computer Science, University of Texas at Dallas, Richardson, Texas 75080, United States.

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