Multiparametric MRI Improves Accuracy of Clinical Nomograms for Predicting Extracapsular Extension of Prostate Cancer

A proposal of a new nomogram for predicting upstaging in contemporary D’Amico low-risk prostate cancer patients

“…Moreover, it lacks the inclusion of molecular markers that could enhance its accuracy beyond the current values. Similarly, it is plausible that combined use of imaging data could further improve the discrimination of our model [19,25]. Similarly, additional external validations at other European centers, where the population of low-risk patients may be different from the current population, are encouraged and A B Fig.…”

“…Imaging techniques such as MRI represent an example [19][20][21]. Despite the promising role of such modalities, strict formal testing of their ability to predict upstaging has not been reported.…”

Apparent diffusion coefficient in the evaluation of side-specific extracapsular extension in prostate cancer: Development and external validation of a nomogram of clinical use

“…Conversely, very few studies have investigated the application of mpMRI, and DWI in particular, in a multivariate model to predict ECE; a recent article by Feng et al [23] suggests that mpMRI can improve the accuracy of the aforementioned nomograms [21,22].…”

Risk Stratification of Prostate Cancer: Integrating Multiparametric MRI, Nomograms and Biomarkers

“…A similarly designed study provided a head-to-head comparison between the performance of the 2001 Partin tables, Memorial Sloan-Kettering Cancer Center (MSKCC) nomograms and those models with the addition of an mpMRI covariate to predict ECE [84]. Multivariate analysis revealed that mpMRI and PSA were significantly (p < 0.001 and p < 0.048, respectively) associated with the detection of ECE.…”