A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study.

Journal: The Lancet. Digital health
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) models in real-world implementation are scarce. Our study aimed to develop a CT angiography (CTA)-based AI model for intracranial aneurysm detection, assess how it helps clinicians improve diagnostic performance, and validate its application in real-world clinical implementation.

Authors

  • Bin Hu
    Department of Thoracic Surgery Beijing Chao-Yang Hospital Affiliated Capital Medical University Beijing China.
  • Zhao Shi
    Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
  • Li Lu
    Department of Ophthalmology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
  • Zhongchang Miao
    Department of Medical Imaging, the First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
  • Hao Wang
    Department of Cardiology, Second Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Zhen Zhou
    Deepwise Healthcare, Beijing 100080, China.
  • Fandong Zhang
    Deepwise Artificial Intelligence (AI) Lab, Deepwise, Beijing, China.
  • Rongpin Wang
    Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, 550002 China.
  • Xiao Luo
    Department of Spine Surgery, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China.
  • Feng Xu
    Orthopedics Department of the First Affiliated Hospital of Tsinghua University, Beijing, China.
  • Sheng Li
    School of Data Science, University of Virginia, Charlottesville, VA, United States.
  • Xiangming Fang
    Imaging Center, Wuxi People's Hospital, Nanjing Medical University, Wuxi, 214000, China. Electronic address: drfxm@163.com.
  • Xiaodong Wang
    Cardiovascular Department, TEDA International Cardiovascular Hospital, Tianjin, China.
  • Ge Yan
    State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Fajin Lv
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Meng Zhang
    College of Software, Beihang University, Beijing, China.
  • Qiu Sun
    Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second clinical school, Lanzhou University, Lanzhou, China. Electronic address: today-go@163.com.
  • Guangbin Cui
    From the Department of Radiology and Functional and Molecular Imaging, Key Lab of Shaanxi Province, Tangdu Hospital.
  • Yubao Liu
    Department of Urology, Peking University First Hospital, Beijing, China; Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Shu Zhang
    State University of New York, Department of Radiology, Stony Brook, New York, United States.
  • Chengwei Pan
    Computer Science Department, School of EECS, Peking University, Beijing, 100089, P.R. China.
  • Zhibo Hou
    Department of Radiology, Medical Imaging Center, Peking University Shougang Hospital, Beijing, China.
  • Huiying Liang
    Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
  • Yuning Pan
    Department of Radiology, Ningbo First Hospital, Ningbo, Zhejiang, China.
  • Xiaoxia Chen
    Department of Radiology, The Third Medical Center, General Hospital of PLA, Beijing, China.
  • Xiaorong Li
    Beijing StoneWise Technology Co Ltd., Haidian District, Beijing, China.
  • Fei Zhou
    College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
  • U Joseph Schoepf
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260 (S.S.M., D.M., M.v.A., C.N.D.C., R.R.B., C.T., A.V.S., A.M.F., B.E.J., L.P.G., U.J.S.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany (S.S.M., T.J.V.); Stanford University School of Medicine, Department of Radiology, Stanford, Calif (D.M.); Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (C.N.D.C.); Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (R.R.B.); Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany (C.T.); Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany (C.T.); Siemens Medical Solutions USA, Malvern, Pa (P.S.); and Department of Emergency Medicine, Medical University of South Carolina, Charleston, SC (A.J.M.).
  • Akos Varga-Szemes
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260 (S.S.M., D.M., M.v.A., C.N.D.C., R.R.B., C.T., A.V.S., A.M.F., B.E.J., L.P.G., U.J.S.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany (S.S.M., T.J.V.); Stanford University School of Medicine, Department of Radiology, Stanford, Calif (D.M.); Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (C.N.D.C.); Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (R.R.B.); Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany (C.T.); Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany (C.T.); Siemens Medical Solutions USA, Malvern, Pa (P.S.); and Department of Emergency Medicine, Medical University of South Carolina, Charleston, SC (A.J.M.).
  • W Garrison Moore
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Yizhou Yu
    Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong.
  • Chunfeng Hu
    Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Long Jiang Zhang