open access

Ahead of print
Research paper (original)
Published online: 2021-06-08
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MRI utility in predicting of extraprostatic extension of prostate cancer and biochemical recurrence after radical prostatectomy

Natalia Majchrzak, Piotr Cieśliński, Tomasz Milecki, Maciej Głyda, Katarzyna Karmelita - Katulska
DOI: 10.5603/NJO.a2021.0037

open access

Ahead of print
Original article
Published online: 2021-06-08

Abstract

Introduction The study aimed to evaluate the performance of multiparametric magnetic resonance imaging (mpMRI) and Martini model to predict extraprostatic extension (EPE) and biochemical recurrence (BCR) of prostate cancer (PCa). Materials and Methods 61 patients underwent radical laparoscopic prostatectomy. Preoperative risk of EPE was determined using mpMRI and the Martini model. Results MpMRI predicts the presence of EPE of PCa with a sensitivity and specificity of 47.4% and 85.7%, respectively (AUC 0.66 95% CI 0.51-0.82 p=0.046). The Martini model's sensitivity was higher, but the specificity was lower than that of mpMRI and was 84.2% and 66.7%, respectively (AUC 0.78 95% CI – 0.66-0.89 p<0.001). Univariate and multivariate Cox analysis indicated that EPE in mpMRI (HR 6.6, 95% CI 1.8-24.1) and the presence of positive surgical margins (PSM) (HR 7.1, 95% CI 1.9-26.7) are independent factors increasing the probability of BCR. Conclusions MpMRI and Martini model are valuable tools in local staging of PCa, managing and predicting oncological treatment outcomes patients with PCa.

Abstract

Introduction The study aimed to evaluate the performance of multiparametric magnetic resonance imaging (mpMRI) and Martini model to predict extraprostatic extension (EPE) and biochemical recurrence (BCR) of prostate cancer (PCa). Materials and Methods 61 patients underwent radical laparoscopic prostatectomy. Preoperative risk of EPE was determined using mpMRI and the Martini model. Results MpMRI predicts the presence of EPE of PCa with a sensitivity and specificity of 47.4% and 85.7%, respectively (AUC 0.66 95% CI 0.51-0.82 p=0.046). The Martini model's sensitivity was higher, but the specificity was lower than that of mpMRI and was 84.2% and 66.7%, respectively (AUC 0.78 95% CI – 0.66-0.89 p<0.001). Univariate and multivariate Cox analysis indicated that EPE in mpMRI (HR 6.6, 95% CI 1.8-24.1) and the presence of positive surgical margins (PSM) (HR 7.1, 95% CI 1.9-26.7) are independent factors increasing the probability of BCR. Conclusions MpMRI and Martini model are valuable tools in local staging of PCa, managing and predicting oncological treatment outcomes patients with PCa.

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Keywords

prostate cancer; multiparametric magnetic resonance imaging; radical prostatectomy; biochemical recurrence; extraprostatic extension

About this article
Title

MRI utility in predicting of extraprostatic extension of prostate cancer and biochemical recurrence after radical prostatectomy

Journal

Nowotwory. Journal of Oncology

Issue

Ahead of print

Article type

Research paper (original)

Published online

2021-06-08

DOI

10.5603/NJO.a2021.0037

Keywords

prostate cancer
multiparametric magnetic resonance imaging
radical prostatectomy
biochemical recurrence
extraprostatic extension

Authors

Natalia Majchrzak
Piotr Cieśliński
Tomasz Milecki
Maciej Głyda
Katarzyna Karmelita - Katulska

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