Open AccessDevelopment of a Joint Prediction Model Based on Both the Radiomics and Clinical Factors for Predicting the Tumor Response to Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer
Author(s) -
Yang Liu,
Fengjiao Zhang,
Xixi Zhao,
Yuan Yang,
Chun-Yi Liang,
Lili Feng,
Xiang-Bo Wan,
Yi Ding,
Yao-Wei Zhang
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s295317
Subject(s) - radiomics , medicine , receiver operating characteristic , magnetic resonance imaging , chemoradiotherapy , colorectal cancer , neoadjuvant therapy , logistic regression , radiology , cohort , artificial intelligence , cancer , radiation therapy , computer science , breast cancer
Neoadjuvant chemoradiotherapy (nCRT) has become the standard treatment for locally advanced rectal cancer (LARC). However, the accuracy of traditional clinical indicators in predicting tumor response is poor. Recently, radiomics based on magnetic resonance imaging (MRI) has been regarded as a promising noninvasive assessment method. The present study was conducted to develop a model to predict the pathological response by analyzing the quantitative features of MRI and clinical risk factors, which might predict the therapeutic effects in patients with LARC as accurately as possible before treatment.