Artificial intelligence-assisted precise preoperative prediction of lateral cervical lymph nodes metastasis in papillary thyroid carcinoma via a clinical-CT radiomic combined model.

Journal: International journal of surgery (London, England)
PMID: 39903541

Abstract

OBJECTIVES: This study aimed to develop an artificial intelligence-assisted model for the preoperative prediction of lateral cervical lymph node metastasis (LCLNM) in papillary thyroid carcinoma (PTC) using computed tomography (CT) radiomics, providing a new noninvasive and accurate diagnostic tool for PTC patients with LCLNM.

Authors

  • Junze Du
    Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China.
  • Xingyun He
    Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China.
  • Rui Fan
    Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China.
  • Yi Zhang
    Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Haoxi Liu
    Department of Breast and Thyroid Surgery, Guiqian International General Hospital, Guiyang, China.
  • Shangqing Liu
    Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, No. 1838 Guangzhou Northern Avenue, Baiyun District, Guangzhou, 510515, Guangdong, China.
  • Shichao Li
    Breast Disease Center, The First Affiliated Hospital, Army Medical University, Gaotanyan Main Street 30, Shapingba District, Chongqing, China.

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