The present study tried to develop a new radiomics tool based on apparent diffusion coefficient to predict the pathological grade of Bladder cancer (BCa). The results demonstrate that the radient boosting classifier (GBC) achieved the best effect in distinguishing pathological low or high grade of bladder cancer. And GBC also shows the best accuracy when we added the arch bridge sign on MRI as a new feature. This classification performance may suggest that the proposed method is a promising approach for preoperatively evaluating pathological grade in bladder cancer, which is very important for the choice of clinical treatment options.
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