Deep Learning based Collateral Scoring on Multi-Phase CTA in patients with acute ischemic stroke in MCA region.

Journal: AJNR. American journal of neuroradiology
Published Date: Jul 7, 2025

Abstract

BACKGROUND AND PURPOSE: Collateral circulation is a critical determinant of clinical outcomes in acute ischemic stroke (AIS) patients and plays a key role in patient selection for endovascular therapy. This study aimed to develop an automated method for assessing and quantifying collateral circulation on multi-phase CT angiography, aiming to reduce observer variability and improve diagnostic efficiency.

Authors

  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Jianhai Zhang
    School of Computer Science and Technology, Dalian University of Technology, Dalian, China.
  • Shengcai Chen
    Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Aravind Ganesh
    Department of Clinical Neurosciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.
  • Yang Xu
    Dermatological Department, Nan Chong Center Hospital, Nanchong, China.
  • Bo Hu
    Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Bijoy K Menon
    Calgary Stroke Program, University of Calgary, Calgary, Alberta, Canada.
  • Wu Qiu
    From the Calgary Stroke Program, Departments of Clinical Neurosciences (W.Q., H.K., E.T., J.M.O., M.G., M.D.H., A.M.D., B.K.M.), Radiology (M.G., M.D.H., A.M.D., B.K.M.), and Community Health Sciences (M.D.H., B.K.M.), University of Calgary, 239 Strathridge Pl SW, Calgary, AB, Canada T3H 4J2; Hotchkiss Brain Institute, Calgary, Alberta, Canada (M.G., M.D.H., A.M.D., B.K.M.), Department of Neurology, Keimyung University, Daegu, South Korea (S.I.S.); and Division of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland (J.M.O.).

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