Enhancing Nigrosome-1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Jan 18, 2024

Abstract

BACKGROUND: Nigrosome 1 (N1), the largest nigrosome region in the ventrolateral area of the substantia nigra pars compacta, is identifiable by the "N1 sign" in long echo time gradient echo MRI. The N1 sign's absence is a vital Parkinson's disease (PD) diagnostic marker. However, it is challenging to visualize and assess the N1 sign in clinical practice.

Authors

  • Chenglong Wang
    Plastic Surgery Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China.
  • Naying He
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai 200025, China.
  • Youmin Zhang
  • Yan Li
    Interdisciplinary Research Center for Biology and Chemistry, Liaoning Normal University, Dalian, China.
  • Pei Huang
    MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
  • Yu Liu
    Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
  • Zhijia Jin
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zenghui Cheng
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai 200025, China.
  • Yun Liu
    Google Health, Palo Alto, CA USA.
  • Yida Wang
    Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China. Electronic address: ydwang@phy.ecnu.edu.cn.
  • Chengxiu Zhang
    Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, No. 3663 North Zhongshan Road, Shanghai, 200062, China.
  • E Mark Haacke
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai 200025, China; Department of Radiology, Wayne State University, Detroit, MI, USA.
  • Shengdi Chen
    Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Fuhua Yan
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai 200025, China. Electronic address: yfh11655@rjh.com.cn.
  • Guang Yang
    National Heart and Lung Institute, Imperial College London, London, UK.

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