Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics

Jinhua Yu; Yinhui Deng; Tongtong Liu; Jin Zhou; Xiaohong Jia; Tianlei Xiao; Shichong Zhou; Jiawei Li; Yi Guo; Yuanyuan Wang; Jianqiao Zhou; Cai Chang

doi:10.1038/s41467-020-18497-3

Nature Communications (Sep 2020)

Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics

Jinhua Yu,
Yinhui Deng,
Tongtong Liu,
Jin Zhou,
Xiaohong Jia,
Tianlei Xiao,
Shichong Zhou,
Jiawei Li,
Yi Guo,
Yuanyuan Wang,
Jianqiao Zhou,
Cai Chang

Affiliations

Jinhua Yu: Department of Electronic Engineering, Fudan University
Yinhui Deng: Department of Electronic Engineering, Fudan University
Tongtong Liu: Department of Electronic Engineering, Fudan University
Jin Zhou: Fudan University Shanghai Cancer Center
Xiaohong Jia: Ruijin Hospital Affiliated to Shanghai Jiaotong University
Tianlei Xiao: Department of Electronic Engineering, Fudan University
Shichong Zhou: Fudan University Shanghai Cancer Center
Jiawei Li: Fudan University Shanghai Cancer Center
Yi Guo: Department of Electronic Engineering, Fudan University
Yuanyuan Wang: Department of Electronic Engineering, Fudan University
Jianqiao Zhou: Ruijin Hospital Affiliated to Shanghai Jiaotong University
Cai Chang: Fudan University Shanghai Cancer Center

DOI: https://doi.org/10.1038/s41467-020-18497-3
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 10

Abstract

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A non-destructive and efficient method for predicting the risk of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) patients is highly needed. Here, the authors develop a transfer learning radiomics model for preoperative prediction of LNM in patients with PTC in a multicenter scenario.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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