Multi-parametric magnetic resonance imaging radiomics nomogram can effectively predict lymphovascular invasion in rectal cancer before surgery
Objective To explore the value of a nomogram model based on multi-parametric MRI radiomics combined with clinical risk factors in preoperative prediction of lymphovascular invasion of rectal cancer.Methods A total of 112 patients who underwent preoperative multi-parametric MRI examination and were confirmed as rectal adenocarcinomas by postoperative pathology in the First Affiliated Hospital of Bengbu Medical College were retrospectively analyzed.The clinical and pelvic imaging data of the patients were collected,and they were randomly divided into training set and validation set at a ratio of 7:3.Clinical independent risk factors related to lymphovascular invasion in rectal cancer were selected through single-multiple Logistic regression analysis.Regions of interest were manually delineated on T2WI,diffusion weighted imaging and T1WI enhanced sequences,and radiomics characteristics were extracted.The optimal radiomics characteristics were selected through characteristics dimension reduction,and a radiomics model was constructed.A nomogram model was built by combining clinical predictive factors with radiomics score labels.The predictive efficiency of the model was evaluated adopting area under the ROC curve,calibration curve and decision curve analysis.Results The nomogram model showed excellent predictive efficiency,with an area under the curve of 0.876(95%CI:0.799-0.952)and 0.769(95%CI:0.600-0.938)for the training set and validation set respectively,which was significantly higher than the radiomics model(0.818,0.741)and clinical model(0.714,0.548).Conclusion The nomogram model exhibited excellent predictive efficiency in predicting lymphovascular invasion of rectal cancer,which can provide important guidance for clinical decision-making preoperatively.
rectal cancerlymphovascular invasionradiomicsmagnetic resonance imagingnomogram model
国家科技期刊平台
NSTL
万方数据
维普
