New Tool Could Help Predict Which Bladder Cancer Patients Will Relapse

Researchers have developed a predictive model to identify low-grade bladder cancer patients at highest risk of recurrence, potentially allowing doctors to tailor treatment intensity and monitoring protocols. The advance could reduce unnecessary aggressive interventions for low-risk patients while ensuring closer surveillance for those likely to relapse.

Originaltitel: Development of a predictive model for recurrence-free survival in pTa low-grade bladder cancer