Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features.

Journal: Journal of clinical ultrasound : JCU
PMID: 39189355

Abstract

OBJECTIVE: To predict post-thyroidectomy complications in papillary thyroid microcarcinoma (PTMC) patients using a deep learning model based on preoperative ultrasonographic features. This study addresses the global rise in PTMC incidence and the challenges in treatment decision-making with high-resolution ultrasonography.

Authors

  • Zhanxiong Yi
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Enhui He
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Peipei Yang
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Zhixiang Wang
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Xiangdong Hu
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Ying Feng
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.

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