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Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy
Background: The accuracy of multi-parametric MRI (mpMRI) in the pre-operative staging of prostate cancer (PCa) remains controversial. Objective: The purpose of this study was to evaluate the ability of mpMRI to accurately predict PCa extra-prostatic extension (EPE) on a side-specific basis using a r...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139507/ https://www.ncbi.nlm.nih.gov/pubmed/35626214 http://dx.doi.org/10.3390/diagnostics12051057 |
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author | Dinneen, Eoin Allen, Clare Strange, Tom Heffernan-Ho, Daniel Banjeglav, Jelena Lindsay, Jamie Mulligan, John-Patrick Briggs, Tim Nathan, Senthil Sridhar, Ashwin Grierson, Jack Haider, Aiman Panayi, Christos Patel, Dominic Freeman, Alex Aning, Jonathan Persad, Raj Ahmad, Imran Dutto, Lorenzo Oakley, Neil Ambrosi, Alessandro Parry, Tom Kasivisvanathan, Veeru Giganti, Francesco Shaw, Greg Punwani, Shonit |
author_facet | Dinneen, Eoin Allen, Clare Strange, Tom Heffernan-Ho, Daniel Banjeglav, Jelena Lindsay, Jamie Mulligan, John-Patrick Briggs, Tim Nathan, Senthil Sridhar, Ashwin Grierson, Jack Haider, Aiman Panayi, Christos Patel, Dominic Freeman, Alex Aning, Jonathan Persad, Raj Ahmad, Imran Dutto, Lorenzo Oakley, Neil Ambrosi, Alessandro Parry, Tom Kasivisvanathan, Veeru Giganti, Francesco Shaw, Greg Punwani, Shonit |
author_sort | Dinneen, Eoin |
collection | PubMed |
description | Background: The accuracy of multi-parametric MRI (mpMRI) in the pre-operative staging of prostate cancer (PCa) remains controversial. Objective: The purpose of this study was to evaluate the ability of mpMRI to accurately predict PCa extra-prostatic extension (EPE) on a side-specific basis using a risk-stratified 5-point Likert scale. This study also aimed to assess the influence of mpMRI scan quality on diagnostic accuracy. Patients and Methods: We included 124 men who underwent robot-assisted RP (RARP) as part of the NeuroSAFE PROOF study at our centre. Three radiologists retrospectively reviewed mpMRI blinded to RP pathology and assigned a Likert score (1–5) for EPE on each side of the prostate. Each scan was also ascribed a Prostate Imaging Quality (PI-QUAL) score for assessing the quality of the mpMRI scan, where 1 represents the poorest and 5 represents the best diagnostic quality. Outcome measurements and statistical analyses: Diagnostic performance is presented for the binary classification of EPE, including 95% confidence intervals and the area under the receiver operating characteristic curve (AUC). Results: A total of 231 lobes from 121 men (mean age 56.9 years) were evaluated. Of these, 39 men (32.2%), or 43 lobes (18.6%), had EPE. A Likert score ≥3 had a sensitivity (SE), specificity (SP), NPV, and PPV of 90.4%, 52.3%, 96%, and 29.9%, respectively, and the AUC was 0.82 (95% CI: 0.77–0.86). The AUC was 0.76 (95% CI: 0.64–0.88), 0.78 (0.72–0.84), and 0.92 (0.88–0.96) for biparametric scans, PI-QUAL 1–3, and PI-QUAL 4–5 scans, respectively. Conclusions: MRI can be used effectively by genitourinary radiologists to rule out EPE and help inform surgical planning for men undergoing RARP. EPE prediction was more reliable when the MRI scan was (a) multi-parametric and (b) of a higher image quality according to the PI-QUAL scoring system. |
format | Online Article Text |
id | pubmed-9139507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91395072022-05-28 Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy Dinneen, Eoin Allen, Clare Strange, Tom Heffernan-Ho, Daniel Banjeglav, Jelena Lindsay, Jamie Mulligan, John-Patrick Briggs, Tim Nathan, Senthil Sridhar, Ashwin Grierson, Jack Haider, Aiman Panayi, Christos Patel, Dominic Freeman, Alex Aning, Jonathan Persad, Raj Ahmad, Imran Dutto, Lorenzo Oakley, Neil Ambrosi, Alessandro Parry, Tom Kasivisvanathan, Veeru Giganti, Francesco Shaw, Greg Punwani, Shonit Diagnostics (Basel) Article Background: The accuracy of multi-parametric MRI (mpMRI) in the pre-operative staging of prostate cancer (PCa) remains controversial. Objective: The purpose of this study was to evaluate the ability of mpMRI to accurately predict PCa extra-prostatic extension (EPE) on a side-specific basis using a risk-stratified 5-point Likert scale. This study also aimed to assess the influence of mpMRI scan quality on diagnostic accuracy. Patients and Methods: We included 124 men who underwent robot-assisted RP (RARP) as part of the NeuroSAFE PROOF study at our centre. Three radiologists retrospectively reviewed mpMRI blinded to RP pathology and assigned a Likert score (1–5) for EPE on each side of the prostate. Each scan was also ascribed a Prostate Imaging Quality (PI-QUAL) score for assessing the quality of the mpMRI scan, where 1 represents the poorest and 5 represents the best diagnostic quality. Outcome measurements and statistical analyses: Diagnostic performance is presented for the binary classification of EPE, including 95% confidence intervals and the area under the receiver operating characteristic curve (AUC). Results: A total of 231 lobes from 121 men (mean age 56.9 years) were evaluated. Of these, 39 men (32.2%), or 43 lobes (18.6%), had EPE. A Likert score ≥3 had a sensitivity (SE), specificity (SP), NPV, and PPV of 90.4%, 52.3%, 96%, and 29.9%, respectively, and the AUC was 0.82 (95% CI: 0.77–0.86). The AUC was 0.76 (95% CI: 0.64–0.88), 0.78 (0.72–0.84), and 0.92 (0.88–0.96) for biparametric scans, PI-QUAL 1–3, and PI-QUAL 4–5 scans, respectively. Conclusions: MRI can be used effectively by genitourinary radiologists to rule out EPE and help inform surgical planning for men undergoing RARP. EPE prediction was more reliable when the MRI scan was (a) multi-parametric and (b) of a higher image quality according to the PI-QUAL scoring system. MDPI 2022-04-23 /pmc/articles/PMC9139507/ /pubmed/35626214 http://dx.doi.org/10.3390/diagnostics12051057 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dinneen, Eoin Allen, Clare Strange, Tom Heffernan-Ho, Daniel Banjeglav, Jelena Lindsay, Jamie Mulligan, John-Patrick Briggs, Tim Nathan, Senthil Sridhar, Ashwin Grierson, Jack Haider, Aiman Panayi, Christos Patel, Dominic Freeman, Alex Aning, Jonathan Persad, Raj Ahmad, Imran Dutto, Lorenzo Oakley, Neil Ambrosi, Alessandro Parry, Tom Kasivisvanathan, Veeru Giganti, Francesco Shaw, Greg Punwani, Shonit Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy |
title | Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy |
title_full | Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy |
title_fullStr | Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy |
title_full_unstemmed | Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy |
title_short | Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy |
title_sort | negative mpmri rules out extra-prostatic extension in prostate cancer before robot-assisted radical prostatectomy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139507/ https://www.ncbi.nlm.nih.gov/pubmed/35626214 http://dx.doi.org/10.3390/diagnostics12051057 |
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