Open AccessRadiomics prediction model for the improved diagnosis of clinically significant prostate cancer on biparametric MRI
Author(s) -
Mengjuan Li,
Tong Chen,
Wenlu Zhao,
Chaogang Wei,
Xiaobo Li,
Shaofeng Duan,
Libiao Ji,
Zhihua Lu,
Junkang Shen
Publication year - 2020
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.2019.12.06
Subject(s) - radiomics , medicine , logistic regression , receiver operating characteristic , prostate cancer , multivariate statistics , radiology , artificial intelligence , machine learning , cancer , computer science
To evaluate the potential of clinical-based model, a biparametric MRI-based radiomics model and a clinical-radiomics combined model for predicting clinically significant prostate cancer (PCa).
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