956 Prostate tumor volumes: Agreement between MRI and histology using novel co-registration software

Multivariate modelling of prostate cancer combining magnetic resonance derived T2, diffusion, dynamic contrast-enhanced and spectroscopic parameters

“…Graph d) shows ROCs for the optimal multiparametric model combining all the MR parameters into one parameter, D, which is used to separate tumour from each normal tissue class yielding significantly increased areas under the curve compared with the individual parameters (Table 4) ADC maps has also been attempted, but this study excluded all central gland tumours [34]. High diagnostic accuracies have also been reported where the parametric abnormalities themselves were used to define tumour following visual correlation with step-section histology which introduces bias [11,16,18,19] as recent studies have shown that multiparametric MRI substantially underestimates histopathologic volumes and these harder to detect edges are ignored in the studies [35]. A study comparing T2W, DWI, and DCE-MRI parameters using the PI-RAD reporting system with histopathology reported similar sensitivities (range 40-60 %) for a slightly lower specificity (range 80-84 %) in the peripheral zone and lower sensitivity (range 15-26 %) in the central gland [36].…”

Analysis of different tumor volume thresholds of insignificant prostate cancer and their implications for active surveillance patient selection and monitoring

“…This issue is still debated by urologists; Several studies have suggested that MP-MRI may be a more precise imaging tool for localizing prostate cancer and predicting TV in low-risk prostate cancer patients including AS candidates [ 26 – 28 ]. However, another study demonstrated that clinical TV measurement using MP-MRI could under-estimate in comparison with pathologic TV after RP [ 29 ]. Nevertheless, as MP-MRI techniques advance, we believe that this tool will become more useful in both selecting and monitoring AS candidates.…”