Hung Nguyen, Ha Nguyen, Zeynab Maghsoudi, Bang Tran, Sorin Draghici, Tin Nguyen
RCPA: An Open-Source R Package for Data Processing, Differential Analysis, Consensus Pathway Analysis, and Visualization
Current protocols
study aimed develop optimal radiomics model preoperatively predicting microsatellite instability msi patients rectal cancer rc based multiparametric magnetic resonance imaging retrospective study included 308 rc patients receive preoperative antitumor therapy among 51 msi radiomics features extracted dimensionally reduced t2weighted imaging t2wi t1weighted imaging t1wi diffusionweighted imaging dwi t1weighted contrast enhanced t1ce images patient features sequence combined multifactor logistic regression used screen optimal feature set combination different machine learning methods applied construct predictive msi status models relative standard deviation values determined evaluate model performance select optimal model receiver operating characteristic roc curve calibration curve decision curve analyses performed evaluate model performance model constructed using knearest neighbor knn method combined t2wi t1ce images performed best area curve values prediction msi model 0849 08040887 sensitivity 0784 specificity 0805 delong test showed significant difference diagnostic efficacy knnderived model traditional logistic regression model constructed using t1wi dwi t1ce t2wi t1wi dwi t1ce data p 005 diagnostic efficiency knnderived model slightly better traditional model roc curve analysis knnderived model significantly distinguished patients low highrisk msi optimal threshold 02 supporting clinical applicability model model constructed using knn method applied noninvasively predict msi status rc patients surgery based radiomics features t2wi t1ce images thus method may provide convenient practical tool formulating treatment strategies optimizing individual clinical decisionmaking patients rc