Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR Imaging.

Journal: Journal of magnetic resonance imaging : JMRI
PMID:

Abstract

BACKGROUND: Determination of H3 K27M mutation in diffuse midline glioma (DMG) is key for prognostic assessment and stratifying patient subgroups for clinical trials. MRI can noninvasively depict morphological and metabolic characteristics of H3 K27M mutant DMG.

Authors

  • Junjie Li
    Department of Emergency, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an, China.
  • Peng Zhang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Liying Qu
    Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Ting Sun
    Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Engineering Medicine, School of Biological Science and Medical Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing, 100083, People's Republic of China.
  • Yunyun Duan
    Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Minghao Wu
    Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Jinyuan Weng
    Department of Medical Imaging Product, Neusoft, Group Ltd., Shenyang, People's Republic of China.
  • Zhaohui Li
    School of Mathematics and Computer Science, Wuhan Textile University, Wuhan, Hubei 430070, China.
  • Xiaodong Gong
    The State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, #7 Jinsui Road, Guangzhou, Guangdong 510230, China.
  • Xing Liu
    School of Food Science and Engineering, Hainan University 58 Renmin Avenue Haikou 570228 China zhangzeling@hainanu.edu.cn benchao312@hainanu.edu.cn xuhuan.hnu@foxmail.com qichen@hainanu.edu.cn sunzhichang11@163.com hmcao@hainanu.edu.cn.
  • Yongzhi Wang
    Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Wenqing Jia
    Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Xiaorui Su
    Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  • Qiang Yue
    Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  • Jianrui Li
    Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
  • Zhiqiang Zhang
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
  • Frederik Barkhof
    MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, the Netherlands.
  • Raymond Y Huang
    Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts. kalpathy@nmr.mgh.harvard.edu yangli762@gmail.com ryhuang@partners.org.
  • Ken Chang
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Haris Sair
  • Chuyang Ye
    Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: chuyang.ye@nlpr.ia.ac.cn.
  • Liwei Zhang
  • Zhizheng Zhuo
    Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Yaou Liu
    Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, PR China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, PR China.