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Abstract #4822

DWI-based Radiomics Nomogram Predicting Recurrence-Free Survival in Patients with Muscle-Invasive Bladder Cancer

Shan Zhang1, Guangyu Wu1, Guiqin Liu1, Yongming Dai2, and Yunfei Zhang2
1Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China, 2United Imaing Healthcare, Shanghai, China

We hypothesized that the radiomics features obtained from DWI holds great potential in improving the recurrence risk stratification of MIBC patients. Thus, we developed a radiomics nomogram and compared its performance with clinicopathological nomogram and radiomics signature in individual RFS prediction. Our results showed that the radiomics nomogram, which incorporates radiomics signatures, clinical characteristics and molecular characteristics, has greater potential to serve as a biomarker to estimate the RFS in MIBC patients. In conclusion, a radiomics nomogram may serve as a potential tool to facilitate individualized prediction of recurrence in patients with MIBC.

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