Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography.

Journal: Endocrine
PMID: 39375254

Abstract

PURPOSE: Thyroid nodules are highly prevalent in the general population, posing a clinical challenge in accurately distinguishing between benign and malignant cases. This study aimed to investigate the diagnostic performance of different strategies, utilizing a combination of a computer-aided diagnosis system (AmCAD) and shear wave elastography (SWE) imaging, to effectively differentiate benign and malignant thyroid nodules in ultrasonography.

Authors

  • Ziman Chen
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. chenzm27@mail3.sysu.edu.cn.
  • Nonhlanhla Chambara
    School of Healthcare Sciences, Cardiff University, Cardiff, UK.
  • Xina Lo
    Department of Surgery, North District Hospital, Sheung Shui, New Territories, Hong Kong.
  • Shirley Yuk Wah Liu
    Department of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong.
  • Simon Takadiyi Gunda
    The Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Xinyang Han
    The Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Michael Tin Cheung Ying
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. michael.ying@polyu.edu.hk.

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