A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors
Journal of Magnetic Resonance Imaging Apr 19, 2019
Xu X, et al. - Because recurrence risk of preoperative bladder cancer (BCa) is critical for individualized clinical management of BCa patients, researchers developed and validated a nomogram based on radiomics and clinical predictors for personalized prediction of the first 2 years (TFTY) recurrence risk in this retrospective study. Seventy-one BCa patients (34 recurrent) were collected preoperative MRI datasets and divided into cohorts of training (n = 50) and validation (n = 21). to explore the independent predictors for BCa recurrence prediction, univariate and multivariate analyses were performed. The nomogram developed in the training and validation cohorts by two independent predictors, muscle-invasive status (MIS) and Rad_Score, showed good performance. In the preoperative prediction of TFTY BCa recurrence, the proposed radiomics-clinical nomogram has potential.
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