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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....
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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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. |
format | Online Article Text |
id | pubmed-9166840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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