Prediction of histopathologic grades of bladder cancer with radiomics based on MRI: comparison with traditional MRI

Motivation: Setting up a noninvasive and accurate method to predict tumor grade preoperatively is urgently needed. However, the comparison between the potential of the bpMRI-based radiomics model and that of traditional MRI model in estimating the grade of BCa have not yet been investigated. Goal(s): The purpose of this study was to construct a radiomics model based on bp-MRI for the preoperative prediction of BCa grade and compare it with traditional MRI model. Approach: A logistic regression classifier was used to develop the radiomics signatures. Results: Radiomics model was outperformed the traditional MRI model in distinguishing high-grade and low-grade bladder cancer. Impact: The bp-MRI radiomics model was useful in distinguishing high-grade and low-grade bladder cancer. Radiomics model was outperformed the traditional MRI model.