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T2 mapping for the characterization of prostate lesions

PURPOSE: Purpose of this study is to evaluate the diagnostic accuracy of quantitative T2/ADC values in differentiating between PCa and lesions showing non-specific inflammatory infiltrates and atrophy, features of chronic prostatitis, as the most common histologically proven differential diagnosis....

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Autores principales: Hepp, Tobias, Kalmbach, Laura, Kolb, Manuel, Martirosian, Petros, Hilbert, Tom, Thaiss, Wolfgang M., Notohamiprodjo, Mike, Bedke, Jens, Nikolaou, Konstantin, Stenzl, Arnulf, Kruck, Stephan, Kaufmann, Sascha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166840/
https://www.ncbi.nlm.nih.gov/pubmed/35357510
http://dx.doi.org/10.1007/s00345-022-03991-8
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author Hepp, Tobias
Kalmbach, Laura
Kolb, Manuel
Martirosian, Petros
Hilbert, Tom
Thaiss, Wolfgang M.
Notohamiprodjo, Mike
Bedke, Jens
Nikolaou, Konstantin
Stenzl, Arnulf
Kruck, Stephan
Kaufmann, Sascha
author_facet Hepp, Tobias
Kalmbach, Laura
Kolb, Manuel
Martirosian, Petros
Hilbert, Tom
Thaiss, Wolfgang M.
Notohamiprodjo, Mike
Bedke, Jens
Nikolaou, Konstantin
Stenzl, Arnulf
Kruck, Stephan
Kaufmann, Sascha
author_sort Hepp, Tobias
collection PubMed
description PURPOSE: Purpose of this study is to evaluate the diagnostic accuracy of quantitative T2/ADC values in differentiating between PCa and lesions showing non-specific inflammatory infiltrates and atrophy, features of chronic prostatitis, as the most common histologically proven differential diagnosis. METHODS: In this retrospective, single-center cohort study, we analyzed 55 patients suspected of PCa, who underwent mpMRI (3T) including quantitative T2 maps before robot-assisted mpMRI-TRUS fusion prostate biopsy. All prostate lesions were scored according to PI-RADS v2.1. Regions of interest (ROIs) were annotated in focal lesions and normal prostate tissue. Quantitative mpMRI values from T2 mapping and ADC were compared using two-tailed t tests. Receiver operating characteristic curves (ROCs) and cutoff were calculated to differentiate between PCa and chronic prostatitis. RESULTS: Focal lesions showed significantly lower ADC and T2 mapping values than normal prostate tissue (p < 0.001). PCa showed significantly lower ADC and T2 values than chronic prostatitis (p < 0.001). ROC analysis revealed areas under the receiver operating characteristic curves (AUCs) of 0.85 (95% CI 0.74–0.97) for quantitative ADC values and 0.84 (95% CI 0.73–0.96) for T2 mapping. A significant correlation between ADC and T2 values was observed (r = 0.70; p < 0.001). CONCLUSION: T2 mapping showed high diagnostic accuracy for differentiating between PCa and chronic prostatitis, comparable to the performance of ADC values. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00345-022-03991-8.
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spelling pubmed-91668402022-06-05 T2 mapping for the characterization of prostate lesions Hepp, Tobias Kalmbach, Laura Kolb, Manuel Martirosian, Petros Hilbert, Tom Thaiss, Wolfgang M. Notohamiprodjo, Mike Bedke, Jens Nikolaou, Konstantin Stenzl, Arnulf Kruck, Stephan Kaufmann, Sascha World J Urol Original Article PURPOSE: Purpose of this study is to evaluate the diagnostic accuracy of quantitative T2/ADC values in differentiating between PCa and lesions showing non-specific inflammatory infiltrates and atrophy, features of chronic prostatitis, as the most common histologically proven differential diagnosis. METHODS: In this retrospective, single-center cohort study, we analyzed 55 patients suspected of PCa, who underwent mpMRI (3T) including quantitative T2 maps before robot-assisted mpMRI-TRUS fusion prostate biopsy. All prostate lesions were scored according to PI-RADS v2.1. Regions of interest (ROIs) were annotated in focal lesions and normal prostate tissue. Quantitative mpMRI values from T2 mapping and ADC were compared using two-tailed t tests. Receiver operating characteristic curves (ROCs) and cutoff were calculated to differentiate between PCa and chronic prostatitis. RESULTS: Focal lesions showed significantly lower ADC and T2 mapping values than normal prostate tissue (p < 0.001). PCa showed significantly lower ADC and T2 values than chronic prostatitis (p < 0.001). ROC analysis revealed areas under the receiver operating characteristic curves (AUCs) of 0.85 (95% CI 0.74–0.97) for quantitative ADC values and 0.84 (95% CI 0.73–0.96) for T2 mapping. A significant correlation between ADC and T2 values was observed (r = 0.70; p < 0.001). CONCLUSION: T2 mapping showed high diagnostic accuracy for differentiating between PCa and chronic prostatitis, comparable to the performance of ADC values. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00345-022-03991-8. Springer Berlin Heidelberg 2022-03-31 2022 /pmc/articles/PMC9166840/ /pubmed/35357510 http://dx.doi.org/10.1007/s00345-022-03991-8 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 Original Article
Hepp, Tobias
Kalmbach, Laura
Kolb, Manuel
Martirosian, Petros
Hilbert, Tom
Thaiss, Wolfgang M.
Notohamiprodjo, Mike
Bedke, Jens
Nikolaou, Konstantin
Stenzl, Arnulf
Kruck, Stephan
Kaufmann, Sascha
T2 mapping for the characterization of prostate lesions
title T2 mapping for the characterization of prostate lesions
title_full T2 mapping for the characterization of prostate lesions
title_fullStr T2 mapping for the characterization of prostate lesions
title_full_unstemmed T2 mapping for the characterization of prostate lesions
title_short T2 mapping for the characterization of prostate lesions
title_sort t2 mapping for the characterization of prostate lesions
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166840/
https://www.ncbi.nlm.nih.gov/pubmed/35357510
http://dx.doi.org/10.1007/s00345-022-03991-8
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