A nomogram based on ultrasound radiomics for predicting the invasiveness of cN0 single papillary thyroid microcarcinoma.

Journal: Gland surgery
Published Date:

Abstract

BACKGROUND: Up to 15.3% of papillary thyroid microcarcinoma (PTMC) patients with negative clinical lymph node metastasis (cN0) were confirmed to have pathological lymph node metastasis in level VI. Conventional ultrasound (US) focuses on the characteristics of tumor capsule and the periphery to determine whether the tumor has invasive growth. However, due to its small size, the typical features of invasiveness shown by conventional 2-dimensional (2D) US are not well visualized. US-based radiomics makes use of artificial intelligence and big data to build a model that can help improving diagnostic accuracy and providing prognostic implication of the disease. We hope to establish and assess the value of a nomogram based on US radiomics combined with independent risk factors in predicting the invasiveness of a single PTMC without clinical lymph node metastasis (cN0).

Authors

  • Meiwu Zhang
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Shuyi Lyu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Liu Yang
    Department of Ultrasound, Hunan Children's Hospital, Changsha, China.
  • Huilin Wei
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Rui Liu
    School of Education, China West Normal University, Nanchong, Sichuan, China.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.
  • Yi Liu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Baisong Zhang
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Jackson Kam Shing Kwok
    Department of Ear, Nose & Throat (ENT), Tuen Mun Hospital, Hong Kong, China.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.

Keywords

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