Identifying gray matter alterations in Cushing's disease using machine learning: An interpretable approach.

Journal: Medical physics
PMID: 38558279

Abstract

BACKGROUND: Cushing's Disease (CD) is a rare clinical syndrome characterized by excessive secretion of adrenocorticotrophic hormone, leading to significant functional and structural brain alterations as observed in Magnetic Resonance Imaging (MRI). While traditional statistical analysis has been widely employed to investigate these MRI changes in CD, it has lacked the ability to predict individual-level outcomes.

Authors

  • Yue Long
    College of Computer, Chengdu University, Chengdu, China.
  • Jie Ren
    Digital Clinical Measures, Translational Medicine, Merck & Co., Inc., Rahway, NJ, United States.
  • Fuchao Cheng
    College of Computer Science, Chengdu University, Chengdu 610106, China.
  • YuMei Duan
    Department of Computer and Software, Chengdu Jincheng College, Chengdu, China.
  • Baofeng Wang
    Laboratory of Vehicle Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Yuhao Sun
    Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan, Shandong250014, China.
  • QingFang Sun
    Department of Neurosurgery, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • LiuGuan Bian
    Department of Neurosurgery, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • JunChen Yi
    International Foundation ProgramInternational CollegeGuangxi University, Guangxi, China.
  • Ying Qin
    School of Economics and Management, Wuhan University, Bayi Road No.299, Wuchang District, Wuhan, 430072, China. qy1119@163.com.
  • RongBing Huang
    College of Computer, Chengdu University, Chengdu, China.
  • WeiTong Guo
    College of Computer, Chengdu University, Chengdu, China.
  • Hong Jiang
    Department of Neurosurgery, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xiao Feng
    College of Computer, Chengdu University, Chengdu, China.
  • Ling Qin
    Musculoskeletal Research Laboratory, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.

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