Diagnostic Performance of Imaging-Based Artificial Intelligence Models for Preoperative Detection of Cervical Lymph Node Metastasis in Clinically Node-Negative Papillary Thyroid Carcinoma: A Systematic Review and Meta-Analysis.

Journal: Head & neck
Published Date:

Abstract

PURPOSE: This systematic review and meta-analysis evaluated the performance of imaging-based artificial intelligence (AI) models in diagnosing preoperative cervical lymph node metastasis (LNM) in clinically node-negative (cN0) papillary thyroid carcinoma (PTC).

Authors

  • Bosheng Li
    Department of Ultrasound, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, Hunan, China.
  • Gang Cheng
    National Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Nanjing University, 22 Hankou Road, Nanjing 210093, P. R. China.
  • Yeping Mo
    Department of Ultrasound, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, Hunan, China.
  • Juyi Dai
    Department of Ultrasound, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, Hunan, China.
  • Shijiao Cheng
    Department of Thoracic Surgery, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, Hunan, China.
  • Shijun Gong
    Department of Ultrasound, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, Hunan, China.
  • Heng Li
    Department of Anesthesiology, Affiliated Nanhua Hospital, University of South China, Hengyang 421002, Hunan Province, China.
  • Youyuan Liu
    Department of Ultrasound, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, Hunan, China.

Keywords

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