Open AccessRepeatability and Reproducibility of Computed Tomography Radiomics for Pulmonary Nodules
Author(s) -
Xueqing Peng,
Shuyi Yang,
Lingxiao Zhou,
Miao Yu,
Lili Shi,
Rengyin Zhang,
Fei Shan,
Lei Liu
Publication year - 2021
Publication title -
investigative radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 114
eISSN - 1536-0210
pISSN - 0020-9996
DOI - 10.1097/rli.0000000000000834
Subject(s) - repeatability , reproducibility , generalizability theory , intraclass correlation , concordance correlation coefficient , spearman's rank correlation coefficient , radiomics , concordance , medicine , rank correlation , computed tomography , coefficient of variation , correlation , nuclear medicine , pattern recognition (psychology) , mathematics , computer science , statistics , radiology , artificial intelligence , geometry
Radiomics can yield minable information from medical images, which can facilitate computer-aided diagnosis. However, the lack of repeatability and reproducibility of radiomic features (RFs) may hinder their generalizability in clinical applications.