Open AccessQuantitative features can predict further growth of persistent pure ground-glass nodule
Author(s) -
Zhe Shi,
Jiajun Deng,
Yunlang She,
Lei Zhang,
Yijiu Ren,
Weinan Sun,
Hang Su,
Chenyang Dai,
Gening Jiang,
Xuejun Sun,
Dong Xie,
Chang Chen
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.01.04
Subject(s) - nodule (geology) , confidence interval , medicine , percentile , nuclear medicine , hounsfield scale , hazard ratio , ground glass opacity , univariate analysis , receiver operating characteristic , radiology , computed tomography , multivariate analysis , mathematics , statistics , biology , cancer , paleontology , adenocarcinoma
To evaluate whether quantitative features of persistent pure ground-glass nodules (PGGN) on the initial computed tomography (CT) scans can predict further nodule growth.