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The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region
OBJECTIVES: To determine the diagnostic accuracy of 3T multiparametric magnetic resonance imaging (mpMRI) for detecting and locating prostate cancer (PCa) on Dickinson's 27‐sector map, using histopathology specimens from radical prostatectomy (RP) as the reference standard. PATIENTS AND METHODS...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988780/ https://www.ncbi.nlm.nih.gov/pubmed/35475134 http://dx.doi.org/10.1002/bco2.62 |
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author | Martins, Martina Regusci, Stefano Rohner, Stephane Szalay‐Quinodoz, Ildiko De Boccard, Georges‐Antoine Strom, Louise Hannink, Gerjon Ramos‐Pascual, Sonia Henry Rochat, Charles |
author_facet | Martins, Martina Regusci, Stefano Rohner, Stephane Szalay‐Quinodoz, Ildiko De Boccard, Georges‐Antoine Strom, Louise Hannink, Gerjon Ramos‐Pascual, Sonia Henry Rochat, Charles |
author_sort | Martins, Martina |
collection | PubMed |
description | OBJECTIVES: To determine the diagnostic accuracy of 3T multiparametric magnetic resonance imaging (mpMRI) for detecting and locating prostate cancer (PCa) on Dickinson's 27‐sector map, using histopathology specimens from radical prostatectomy (RP) as the reference standard. PATIENTS AND METHODS: The authors studied a continuous series of 140 patients who underwent RP over three consecutive years. Prior to RP, all patients had mpMRI for detection and localization of PCa and further assessment by biopsy. To minimize the potential of disease progression, 25 patients were excluded because the interval between mpMRI and RP exceeded 6 months, which left 115 patients eligible for analysis. The mpMRI findings were reported using the Prostate Imaging‐Reporting and Data System (PI‐RADS) v2, considering PI‐RADS ≥ 3 to indicate PCa. The histopathology findings from RP specimens were graded using the Gleason scoring system, considering Gleason ≥ 6 to indicate PCa. The location of the tumors was mapped on Dickinson's 27‐sector map for both mpMRI and histopathology and compared by rigid sector‐by‐sector matching. RESULTS: The cohort of 115 patients eligible for analysis was aged 66.5 ± 6.0 years at RP. Of the 3105 sectors analyzed, there were 412 true positives (13%), 28 false positives (1%), 68 false negatives (2%), and 2597 true negatives (84%). Across the 27 sectors of the prostate, mpMRI sensitivity ranged from 50% to 100% and specificity from 96% to 100%, while PPV ranged from 50% to 100%, and NPV from 91% to 100%. For the anterior prostate, mpMRI had a sensitivity of 80% (CI, 71%‐86%), specificity of 99% (CI, 99%‐100%), PPV of 91% (CI, 83%‐95%), and NPV of 99% (CI, 98%‐99%). For the posterior prostate, mpMRI had a sensitivity of 88% (CI, 84%‐91%), specificity of 98% (CI, 97%‐99%), PPV of 94% (CI, 92%‐96%), and NPV of 96% (CI, 94%‐97%). Overall, mpMRI had a sensitivity of 86%, specificity of 99%, PPV of 94%, and NPV of 97%. CONCLUSIONS: The accuracy of mpMRI in detecting and locating prostate tumors depends on the affected region, but its high NPV across all sectors suggests that negative findings may not need corroboration by other techniques. |
format | Online Article Text |
id | pubmed-8988780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89887802022-04-25 The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region Martins, Martina Regusci, Stefano Rohner, Stephane Szalay‐Quinodoz, Ildiko De Boccard, Georges‐Antoine Strom, Louise Hannink, Gerjon Ramos‐Pascual, Sonia Henry Rochat, Charles BJUI Compass Original Articles OBJECTIVES: To determine the diagnostic accuracy of 3T multiparametric magnetic resonance imaging (mpMRI) for detecting and locating prostate cancer (PCa) on Dickinson's 27‐sector map, using histopathology specimens from radical prostatectomy (RP) as the reference standard. PATIENTS AND METHODS: The authors studied a continuous series of 140 patients who underwent RP over three consecutive years. Prior to RP, all patients had mpMRI for detection and localization of PCa and further assessment by biopsy. To minimize the potential of disease progression, 25 patients were excluded because the interval between mpMRI and RP exceeded 6 months, which left 115 patients eligible for analysis. The mpMRI findings were reported using the Prostate Imaging‐Reporting and Data System (PI‐RADS) v2, considering PI‐RADS ≥ 3 to indicate PCa. The histopathology findings from RP specimens were graded using the Gleason scoring system, considering Gleason ≥ 6 to indicate PCa. The location of the tumors was mapped on Dickinson's 27‐sector map for both mpMRI and histopathology and compared by rigid sector‐by‐sector matching. RESULTS: The cohort of 115 patients eligible for analysis was aged 66.5 ± 6.0 years at RP. Of the 3105 sectors analyzed, there were 412 true positives (13%), 28 false positives (1%), 68 false negatives (2%), and 2597 true negatives (84%). Across the 27 sectors of the prostate, mpMRI sensitivity ranged from 50% to 100% and specificity from 96% to 100%, while PPV ranged from 50% to 100%, and NPV from 91% to 100%. For the anterior prostate, mpMRI had a sensitivity of 80% (CI, 71%‐86%), specificity of 99% (CI, 99%‐100%), PPV of 91% (CI, 83%‐95%), and NPV of 99% (CI, 98%‐99%). For the posterior prostate, mpMRI had a sensitivity of 88% (CI, 84%‐91%), specificity of 98% (CI, 97%‐99%), PPV of 94% (CI, 92%‐96%), and NPV of 96% (CI, 94%‐97%). Overall, mpMRI had a sensitivity of 86%, specificity of 99%, PPV of 94%, and NPV of 97%. CONCLUSIONS: The accuracy of mpMRI in detecting and locating prostate tumors depends on the affected region, but its high NPV across all sectors suggests that negative findings may not need corroboration by other techniques. John Wiley and Sons Inc. 2020-11-28 /pmc/articles/PMC8988780/ /pubmed/35475134 http://dx.doi.org/10.1002/bco2.62 Text en © 2020 The Authors. BJUI Compass published by John Wiley & Sons Ltd on behalf of BJU International Company https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Martins, Martina Regusci, Stefano Rohner, Stephane Szalay‐Quinodoz, Ildiko De Boccard, Georges‐Antoine Strom, Louise Hannink, Gerjon Ramos‐Pascual, Sonia Henry Rochat, Charles The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region |
title | The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region |
title_full | The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region |
title_fullStr | The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region |
title_full_unstemmed | The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region |
title_short | The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region |
title_sort | diagnostic accuracy of multiparametric mri for detection and localization of prostate cancer depends on the affected region |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988780/ https://www.ncbi.nlm.nih.gov/pubmed/35475134 http://dx.doi.org/10.1002/bco2.62 |
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