Cargando…
Pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins
PURPOSE: Analysis of patients with pre-operative 3 T multiparametric prostate MRI (mpMRI) to determine reliable MRI-based risk predictors of patients at risk for positive surgical margins (PSM) in robotic assisted radical prostatectomy (RPE). METHODS: Consecutive patients with 3 T mpMRI and subseque...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226088/ https://www.ncbi.nlm.nih.gov/pubmed/35578110 http://dx.doi.org/10.1007/s00261-022-03543-z |
_version_ | 1784733773552680960 |
---|---|
author | Quentin, M. Schimmöller, L. Ullrich, T. Valentin, B. Demetrescu, D. Al-Monajjed, R. Mally, D. Esposito, I. Albers, P. Antoch, G. Arsov, C. |
author_facet | Quentin, M. Schimmöller, L. Ullrich, T. Valentin, B. Demetrescu, D. Al-Monajjed, R. Mally, D. Esposito, I. Albers, P. Antoch, G. Arsov, C. |
author_sort | Quentin, M. |
collection | PubMed |
description | PURPOSE: Analysis of patients with pre-operative 3 T multiparametric prostate MRI (mpMRI) to determine reliable MRI-based risk predictors of patients at risk for positive surgical margins (PSM) in robotic assisted radical prostatectomy (RPE). METHODS: Consecutive patients with 3 T mpMRI and subsequent RPE from 01/2015 to 12/2018 were retrospectively included. Patients were compared regarding clinical and MRI related parameters such as length of capsular tumor contact (LCC) and distance to the membranous urethra (UD). RESULTS: Forty-nine of 179 patients (27%) had PSM in 70 different localizations, with the majority located at the capsule (57%, 40/70), mostly apical and/or posterior. The second most often PSM occurred at the apical urethra (22%, 15/70). PCA was visible on mpMRI at the localization of PSM in 93% at the capsule and in 80% at the urethra. PSA, PI-RADS classification, extraprostatic extension (EPE), and seminal vesicles infiltration (SVI) on MRI were significantly higher / more frequent in patients with PSM. LCC (AUC 0.710), EPE (AUC 0.693), and UD (1-AUC 0.673) predicted PSM (overall). An UD of ≤ 3.5 mm showed the highest accuracy of 95% (J = 0.946) for PSM at the urethra and a LCC of ≥ 22.5 mm with 77% (J = 0.378) for PSM at the capsule. CONCLUSION: PSM occurred mostly in the apex and/or posteriorly at the capsule or at the apical urethra. LCC was the best MRI predictor for PSM at the capsule and UD for tumors with PSM at the apical urethra. Using these MRI parameters readers might pre-operatively determine PCA localizations at risk for PSM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00261-022-03543-z. |
format | Online Article Text |
id | pubmed-9226088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-92260882022-06-25 Pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins Quentin, M. Schimmöller, L. Ullrich, T. Valentin, B. Demetrescu, D. Al-Monajjed, R. Mally, D. Esposito, I. Albers, P. Antoch, G. Arsov, C. Abdom Radiol (NY) Pelvis PURPOSE: Analysis of patients with pre-operative 3 T multiparametric prostate MRI (mpMRI) to determine reliable MRI-based risk predictors of patients at risk for positive surgical margins (PSM) in robotic assisted radical prostatectomy (RPE). METHODS: Consecutive patients with 3 T mpMRI and subsequent RPE from 01/2015 to 12/2018 were retrospectively included. Patients were compared regarding clinical and MRI related parameters such as length of capsular tumor contact (LCC) and distance to the membranous urethra (UD). RESULTS: Forty-nine of 179 patients (27%) had PSM in 70 different localizations, with the majority located at the capsule (57%, 40/70), mostly apical and/or posterior. The second most often PSM occurred at the apical urethra (22%, 15/70). PCA was visible on mpMRI at the localization of PSM in 93% at the capsule and in 80% at the urethra. PSA, PI-RADS classification, extraprostatic extension (EPE), and seminal vesicles infiltration (SVI) on MRI were significantly higher / more frequent in patients with PSM. LCC (AUC 0.710), EPE (AUC 0.693), and UD (1-AUC 0.673) predicted PSM (overall). An UD of ≤ 3.5 mm showed the highest accuracy of 95% (J = 0.946) for PSM at the urethra and a LCC of ≥ 22.5 mm with 77% (J = 0.378) for PSM at the capsule. CONCLUSION: PSM occurred mostly in the apex and/or posteriorly at the capsule or at the apical urethra. LCC was the best MRI predictor for PSM at the capsule and UD for tumors with PSM at the apical urethra. Using these MRI parameters readers might pre-operatively determine PCA localizations at risk for PSM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00261-022-03543-z. Springer US 2022-05-16 2022 /pmc/articles/PMC9226088/ /pubmed/35578110 http://dx.doi.org/10.1007/s00261-022-03543-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Pelvis Quentin, M. Schimmöller, L. Ullrich, T. Valentin, B. Demetrescu, D. Al-Monajjed, R. Mally, D. Esposito, I. Albers, P. Antoch, G. Arsov, C. Pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins |
title | Pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins |
title_full | Pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins |
title_fullStr | Pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins |
title_full_unstemmed | Pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins |
title_short | Pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins |
title_sort | pre-operative magnetic resonance imaging can predict prostate cancer with risk for positive surgical margins |
topic | Pelvis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226088/ https://www.ncbi.nlm.nih.gov/pubmed/35578110 http://dx.doi.org/10.1007/s00261-022-03543-z |
work_keys_str_mv | AT quentinm preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT schimmollerl preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT ullricht preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT valentinb preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT demetrescud preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT almonajjedr preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT mallyd preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT espositoi preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT albersp preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT antochg preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins AT arsovc preoperativemagneticresonanceimagingcanpredictprostatecancerwithriskforpositivesurgicalmargins |