Ultrasound images-based deep learning radiomics nomogram for preoperative prediction of rearrangement in papillary thyroid carcinoma.

Journal: Frontiers in endocrinology
PMID:

Abstract

PURPOSE: To create an ultrasound -based deep learning radiomics nomogram (DLRN) for preoperatively predicting the presence of rearrangement among patients with papillary thyroid carcinoma (PTC).

Authors

  • Jialong Yu
    Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Henan,  China.
  • Yihan Zhang
    Department of Ophthalmology, Fudan Eye & ENT Hospital, Shanghai, China.
  • Jian Zheng
    Biospheric Assessment for Waste Disposal Team, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan; Fukushima Project Headquarters, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan. Electronic address: zheng.jian@qst.go.jp.
  • Meng Jia
    Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Henan,  China.
  • Xiubo Lu
    Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, Henan,  China.