Diagnostic capability of prostate multiparametric magnetic resonance in prediction of cancer and histological grade.
Year: 2016
Type: conference-abstract
Abstract: 161 Background: The prostatic multiparametric MRI (mpMRI) can enhance the performance of the prostate core biopsy to detect cancer. The objective of this study is to assess the capability of MpMRI to identify high- and intermediate-risk prostate cancer. Methods: Prospective cohort. MpMRI was performed to patients with TRUS-guided biopsy indication prior to the biopsy. Diffusion, PIRADS, DCE and T2 parameters were observed on the MRI, and the presence of cancer and Gleason score on the biopsy. The results were divided between no cancer, and presence of cancer Gleason 6 or higher. Logistic regression test was performed with a 95% confidence interval. We assigned different values, depending on the importance of each factor, applying binominal regression. Ordinal regression was then performed and Odds ratio calculated. Results: Seventy three patients met the described criteria. Cancer detection rate was 60.27% (44 patients). Seventeen of these patients were Gleason score six. The calculated score, gave 7 points for altered T2, 8 points for altered diffusion and 5 points for altered DCE. With a score of 12 points or more, the calculated sensibility was 84,62% and the specificity was 41.18%. The estimated OR was 1.15 [IC 1-1.38]. We calculated that having one altered parameter, had a probability between 0.17 and 0.25 of having intermediate and high-risk cancer. With more than one altered parameter, the probability was 0.37. One or more altered parameters gives a probability of having Gleason 6 score of 0.20 to 0.25. Conclusions: The MpMRI is a useful tool because it has high correlation with the histological grade, and it´s an excellent test for predicting high- and intermediate-risk prostate cancer when two or more parameters are altered. Based on this findings we strongly suggest TRUS-guided biopsy with an altered MpMRI.
Source: Journal of Clinical Oncology
Authors: Jaime Antonio Altamirano, Ivan Federico Pinto, Maria Jesus Quiroz, Jorge Gonzalo Diaz, Mauricio Canals, Roberto Mauricio Vilches, Camilo Sandoval, Alvaro Daniel Vidal, Alejandro Rojas, Cristobal Roman
Language: English
Subfield: Urology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2575233190