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Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade
BACKGROUND: The utility of multiparametric MRI (mpMRI) in detecting suspected local recurrence post radical prostatectomy (RP) may be associated with PSA and Gleason grade. The purpose of the study was to evaluate the likelihood of detecting locally recurrent prostate cancer utilizing mpMRI in patie...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789281/ https://www.ncbi.nlm.nih.gov/pubmed/33407861 http://dx.doi.org/10.1186/s40644-020-00373-4 |
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author | Venkatesan, Aradhana M. Mudairu-Dawodu, Eniola Duran, Cihan Stafford, R. Jason Yan, Yuanqing Wei, Wei Kundra, Vikas |
author_facet | Venkatesan, Aradhana M. Mudairu-Dawodu, Eniola Duran, Cihan Stafford, R. Jason Yan, Yuanqing Wei, Wei Kundra, Vikas |
author_sort | Venkatesan, Aradhana M. |
collection | PubMed |
description | BACKGROUND: The utility of multiparametric MRI (mpMRI) in detecting suspected local recurrence post radical prostatectomy (RP) may be associated with PSA and Gleason grade. The purpose of the study was to evaluate the likelihood of detecting locally recurrent prostate cancer utilizing mpMRI in patients with suspected recurrence following radical prostatectomy (RP) parsed by PSA and Gleason grade. METHODS: One hundred ninety five patients with suspected local recurrence were imaged on a 1.5 T MRI with torso array and endorectal coil in this retrospective study. mpMRI interpretations were stratified by PSA and lower (Gleason < 7) vs. higher grade tumors (Gleason 8–10). Recursive partitioning was used to determine whether mpMRI interpretations could be classified as positive or negative. RESULTS: The majority of mpMRI interpretations in patients with lower Gleason grade tumors and PSA < 0.5 ng/mL were negative (68/78, 87.2%, p = 0.004). The majority of mpMRI interpretations in patients with higher Gleason grade tumors and PSA > 1.5 ng/mL were positive (8/9, 88.9%, p = 0.003). Findings were corroborated by recursive partitioning, which identified a PSA = 0.5 ng/ml in patients with lower grade tumors and a PSA = 1.5 ng/mL in patients with higher grade tumors as differentiating negative and positive mpMRIs. CONCLUSION: In the setting of suspected recurrence after RP, mpMRI results are associated with PSA and Gleason grade, both of which can help guide when mpMRI may find utility. mpMRI is likely to be low diagnostic yield and negative for recurrence (87%) in the setting of lower Gleason grade tumors and PSA < 0.5 ng/mL. mpMRI is likely to be of low diagnostic value and positive for recurrence (89%) in the setting of PSA > 1.5 ng/mL and higher grade tumors; in this case, mpMRI findings may be more useful for directing biopsy and local therapy. Between these extremes, PSA > 0.5 ng/mL and lower grade tumors or PSA < 1.5 ng/mL and higher grade tumors, mpMRI results are less predictable, suggesting greater diagnostic value for detecting recurrence post prostatectomy. |
format | Online Article Text |
id | pubmed-7789281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77892812021-01-07 Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade Venkatesan, Aradhana M. Mudairu-Dawodu, Eniola Duran, Cihan Stafford, R. Jason Yan, Yuanqing Wei, Wei Kundra, Vikas Cancer Imaging Research Article BACKGROUND: The utility of multiparametric MRI (mpMRI) in detecting suspected local recurrence post radical prostatectomy (RP) may be associated with PSA and Gleason grade. The purpose of the study was to evaluate the likelihood of detecting locally recurrent prostate cancer utilizing mpMRI in patients with suspected recurrence following radical prostatectomy (RP) parsed by PSA and Gleason grade. METHODS: One hundred ninety five patients with suspected local recurrence were imaged on a 1.5 T MRI with torso array and endorectal coil in this retrospective study. mpMRI interpretations were stratified by PSA and lower (Gleason < 7) vs. higher grade tumors (Gleason 8–10). Recursive partitioning was used to determine whether mpMRI interpretations could be classified as positive or negative. RESULTS: The majority of mpMRI interpretations in patients with lower Gleason grade tumors and PSA < 0.5 ng/mL were negative (68/78, 87.2%, p = 0.004). The majority of mpMRI interpretations in patients with higher Gleason grade tumors and PSA > 1.5 ng/mL were positive (8/9, 88.9%, p = 0.003). Findings were corroborated by recursive partitioning, which identified a PSA = 0.5 ng/ml in patients with lower grade tumors and a PSA = 1.5 ng/mL in patients with higher grade tumors as differentiating negative and positive mpMRIs. CONCLUSION: In the setting of suspected recurrence after RP, mpMRI results are associated with PSA and Gleason grade, both of which can help guide when mpMRI may find utility. mpMRI is likely to be low diagnostic yield and negative for recurrence (87%) in the setting of lower Gleason grade tumors and PSA < 0.5 ng/mL. mpMRI is likely to be of low diagnostic value and positive for recurrence (89%) in the setting of PSA > 1.5 ng/mL and higher grade tumors; in this case, mpMRI findings may be more useful for directing biopsy and local therapy. Between these extremes, PSA > 0.5 ng/mL and lower grade tumors or PSA < 1.5 ng/mL and higher grade tumors, mpMRI results are less predictable, suggesting greater diagnostic value for detecting recurrence post prostatectomy. BioMed Central 2021-01-06 /pmc/articles/PMC7789281/ /pubmed/33407861 http://dx.doi.org/10.1186/s40644-020-00373-4 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Venkatesan, Aradhana M. Mudairu-Dawodu, Eniola Duran, Cihan Stafford, R. Jason Yan, Yuanqing Wei, Wei Kundra, Vikas Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade |
title | Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade |
title_full | Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade |
title_fullStr | Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade |
title_full_unstemmed | Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade |
title_short | Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade |
title_sort | detecting recurrent prostate cancer using multiparametric mri, influence of psa and gleason grade |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789281/ https://www.ncbi.nlm.nih.gov/pubmed/33407861 http://dx.doi.org/10.1186/s40644-020-00373-4 |
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