MRI-based radiomics analysis to predict preoperative lymph node metastasis in papillary thyroid carcinoma
Author(s) -
Wenjuan Hu,
Hao Wang,
Ran Wei,
Lanyun Wang,
Zedong Dai,
Shaofeng Duan,
Yaqiong Ge,
PuYeh Wu,
Bin Song
Publication year - 2020
Publication title -
gland surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.643
H-Index - 22
eISSN - 2227-8575
pISSN - 2227-684X
DOI - 10.21037/gs-20-479
Subject(s) - medicine , nomogram , receiver operating characteristic , radiomics , radiology , magnetic resonance imaging , thyroid carcinoma , lasso (programming language) , logistic regression , lymph node , retrospective cohort study , cohort , oncology , thyroid , computer science , world wide web
The aim of the present study was to develop a magnetic resonance imaging (MRI) radiomics model and evaluate its clinical value in predicting preoperative lymph node metastasis (LNM) in patients with papillary thyroid carcinoma (PTC).
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