Diagnostic value of transcranial ultrasonography and clinical features for Parkinson's disease based on XGBoost model and SHAP visualization analysis: a retrospective study.

Journal: European radiology
Published Date: Jul 3, 2025

Abstract

OBJECTIVES: Parkinson's disease (PD) requires early diagnosis for optimal management. This study aims to evaluate whether combining transcranial ultrasonography (TCS) and clinical data using an interpretable machine learning model improves diagnostic accuracy.

Authors

  • Yanan Ge
    Department of Oncology, Northern Theater Command General Hospital, Shenyang, 110016, Liaoning, China.
  • Xuelei Zhang
    Department of Ultrasonography, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
  • Xiaoming Ding
    Department of Ultrasonography, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
  • Panpan Zhang
    School of Information Science and Technology, Northwest University, Xi'an, China.
  • Liyang Su
    Department of Ultrasonography, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China. suliyang1224@126.com.
  • Gang Wang
    National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.

Keywords

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