A multicenter diagnostic study of thyroid nodule with Hashimoto's thyroiditis enabled by Hashimoto's thyroiditis nodule-artificial intelligence model.

Journal: European radiology
Published Date:

Abstract

OBJECTIVE: This study aimed to develop a Hashimoto's thyroiditis nodule-artificial intelligence (HTN-AI) model to optimize the diagnosis of thyroid nodules with Hashimoto's thyroiditis (HT) of which the efficiency and accuracy remain challenging.

Authors

  • Chen Chen
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Yahan Zhou
    Wenling Medical Big Data and Artificial Intelligence Research Institute, Taizhou, China.
  • Bo Xu
    State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
  • Lingyan Zhou
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.
  • Mei Song
    School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Shengxing Yuan
    Department of Ultrasonography, Qujing No.1 Hospital, Affiliated Hospital of Kunming Medical University, Qujing, China.
  • Wenwen Yue
    Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China. yuewen0902@163.com.
  • Yibo Zhou
    School of Electrical Engineering, Northeast Electric Power University, Jilin, China.
  • Hangjun Chen
    Jinhua Municipal Central Hospital Medical Group (Medical Center), Jinhua, China.
  • Ruyi Yan
    Department of Ultrasonography, Qujing No.1 Hospital, Affiliated Hospital of Kunming Medical University, Qujing, China.
  • Benlong Xiao
    Department of Ultrasonography, Qujing No.1 Hospital, Affiliated Hospital of Kunming Medical University, Qujing, China.
  • Tian Jiang
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Shanshan Zhao
    Department of Ultrasound, Shaoxing People's Hospital (Zhejiang University Shaoxing Hospital), Shaoxing, China.
  • Changsong Xu
    Department of Ultrasound, The Affiliated Huaian No. 1 People' s Hospital of Nanjing Medical University, Huaian, China.
  • Chenke Xu
    Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
  • Jiao Lu
    The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Lin Sui
    Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China.
  • Yuqi Yan
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Mingshun Lyu
    Zhoushan Hospital, Zhoushan, China.
  • Qingquan He
    Center of Intelligent Diagnosis and Therapy (Taizhou), Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Taizhou, China.
  • Vicky Yang Wang
    Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China.
  • Dong Xu
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.