Open AccessCT-Based Radiomics Nomogram for Prediction of Progression-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma
Author(s) -
Yan Chang,
De-song Shen,
Xiaobo Chen,
Danke Su,
ZhongGuo Liang,
Kaihua Chen,
Ling Li,
Liang Xia,
Hai Liao,
XiaoDong Zhu
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
ISSN - 1179-1322
DOI - 10.2147/cmar.s325373
Subject(s) - nomogram , radiomics , nasopharyngeal carcinoma , medicine , logistic regression , stage (stratigraphy) , lasso (programming language) , receiver operating characteristic , oncology , cohort , radiology , radiation therapy , computer science , paleontology , biology , world wide web
We aimed to construct of a nomogram to predict progression-free survival (PFS) in locoregionally advanced nasopharyngeal carcinoma (LA-NPC) with risk stratification using computed tomography (CT) radiomics features and clinical factors.