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...

Descripción completa

Detalles Bibliográficos
Autores principales: Quentin, M., Schimmöller, L., Ullrich, T., Valentin, B., Demetrescu, D., Al-Monajjed, R., Mally, D., Esposito, I., Albers, P., Antoch, G., Arsov, C.
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