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Morphologic perfusion patterns and PI-RADSv2.1 in transition zone prostate cancer

PURPOSE: To evaluate morphologic perfusion patterns in transition zone prostate cancer in multiparametric MRI controlled by in-bore MRI-guided prostate biopsy. METHODS: Two experienced radiologists evaluated MRI perfusion patterns in consensus from 321 biopsy cores from the transition zone in 141 pa...

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Autores principales: Garmer, M., Grönemeyer, D., van de Loo, Th., Mateiescu, S., Schaffrin-Nabe, D., Haage, P., Kamper, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556124/
https://www.ncbi.nlm.nih.gov/pubmed/37640866
http://dx.doi.org/10.1007/s00261-023-04021-w
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author Garmer, M.
Grönemeyer, D.
van de Loo, Th.
Mateiescu, S.
Schaffrin-Nabe, D.
Haage, P.
Kamper, L.
author_facet Garmer, M.
Grönemeyer, D.
van de Loo, Th.
Mateiescu, S.
Schaffrin-Nabe, D.
Haage, P.
Kamper, L.
author_sort Garmer, M.
collection PubMed
description PURPOSE: To evaluate morphologic perfusion patterns in transition zone prostate cancer in multiparametric MRI controlled by in-bore MRI-guided prostate biopsy. METHODS: Two experienced radiologists evaluated MRI perfusion patterns in consensus from 321 biopsy cores from the transition zone in 141 patients. Transition zone cancer was present in 77 cores in 36 patients. Single early-phase perfusion images were evaluated separately for the presence of a transition zone prostate cancer (consensus tumor early perfusion). The proposed criteria for the perfusion pattern (asymmetry, signal strength, and homogeneity) were rated in consensus for each biopsy position in the presence of the T2w images including the markers of the biopsy trace. We analyzed receiver operating characteristic curves for the PI-RADSv2.1 score and the proposed perfusion pattern. RESULTS: A logistic regression model with PI-RADSv2.1 and perfusion patterns in early perfusion imaging improved the model fit significantly compared to a model containing only PI-RADSv2.1 (Likelihood Ratio Test, LR = 14.5, p < .001). The AUC was 0.96 for the multiple regression model compared to 0.92 for the PI-RADSv2.1 alone. The evaluation of homogeneity in single early-enhancement images is not inferior compared to the conventional DCE parameter of PI-RADSv2.1 (AUC 0.84 versus 0.83). CONCLUSION: Morphologic perfusion patterns significantly improve the diagnostic performance of PI-RADSv2.1 in TZ prostate cancer. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-105561242023-10-07 Morphologic perfusion patterns and PI-RADSv2.1 in transition zone prostate cancer Garmer, M. Grönemeyer, D. van de Loo, Th. Mateiescu, S. Schaffrin-Nabe, D. Haage, P. Kamper, L. Abdom Radiol (NY) Pelvis PURPOSE: To evaluate morphologic perfusion patterns in transition zone prostate cancer in multiparametric MRI controlled by in-bore MRI-guided prostate biopsy. METHODS: Two experienced radiologists evaluated MRI perfusion patterns in consensus from 321 biopsy cores from the transition zone in 141 patients. Transition zone cancer was present in 77 cores in 36 patients. Single early-phase perfusion images were evaluated separately for the presence of a transition zone prostate cancer (consensus tumor early perfusion). The proposed criteria for the perfusion pattern (asymmetry, signal strength, and homogeneity) were rated in consensus for each biopsy position in the presence of the T2w images including the markers of the biopsy trace. We analyzed receiver operating characteristic curves for the PI-RADSv2.1 score and the proposed perfusion pattern. RESULTS: A logistic regression model with PI-RADSv2.1 and perfusion patterns in early perfusion imaging improved the model fit significantly compared to a model containing only PI-RADSv2.1 (Likelihood Ratio Test, LR = 14.5, p < .001). The AUC was 0.96 for the multiple regression model compared to 0.92 for the PI-RADSv2.1 alone. The evaluation of homogeneity in single early-enhancement images is not inferior compared to the conventional DCE parameter of PI-RADSv2.1 (AUC 0.84 versus 0.83). CONCLUSION: Morphologic perfusion patterns significantly improve the diagnostic performance of PI-RADSv2.1 in TZ prostate cancer. GRAPHICAL ABSTRACT: [Image: see text] Springer US 2023-08-28 2023 /pmc/articles/PMC10556124/ /pubmed/37640866 http://dx.doi.org/10.1007/s00261-023-04021-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Garmer, M.
Grönemeyer, D.
van de Loo, Th.
Mateiescu, S.
Schaffrin-Nabe, D.
Haage, P.
Kamper, L.
Morphologic perfusion patterns and PI-RADSv2.1 in transition zone prostate cancer
title Morphologic perfusion patterns and PI-RADSv2.1 in transition zone prostate cancer
title_full Morphologic perfusion patterns and PI-RADSv2.1 in transition zone prostate cancer
title_fullStr Morphologic perfusion patterns and PI-RADSv2.1 in transition zone prostate cancer
title_full_unstemmed Morphologic perfusion patterns and PI-RADSv2.1 in transition zone prostate cancer
title_short Morphologic perfusion patterns and PI-RADSv2.1 in transition zone prostate cancer
title_sort morphologic perfusion patterns and pi-radsv2.1 in transition zone prostate cancer
topic Pelvis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556124/
https://www.ncbi.nlm.nih.gov/pubmed/37640866
http://dx.doi.org/10.1007/s00261-023-04021-w
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