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Quantifying the Effect of Location Matching on Accuracy of Multiparametric Magnetic Resonance Imaging Prior to Prostate Biopsy—A Multicentre Study

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has shown promise to improve detection of prostate cancer over conventional methods. However, most studies do not describe whether the location of mpMRI lesions match that of cancer found at biopsy, which may lead to an overestimation of...

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Autores principales: Gavin, Dominic James, Kam, Jonathan, Krelle, Matthew, Louie-Johnsun, Mark, Sutherland, Tom, Koschel, Samantha, Jenkins, Mark, Yuminaga, Yuigi, Kim, Raymond, Aluwihare, Kushlan, Skinner, Sarah, Brennan, Janelle, Wong, Lih-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317842/
https://www.ncbi.nlm.nih.gov/pubmed/34337456
http://dx.doi.org/10.1016/j.euros.2020.07.001
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author Gavin, Dominic James
Kam, Jonathan
Krelle, Matthew
Louie-Johnsun, Mark
Sutherland, Tom
Koschel, Samantha
Jenkins, Mark
Yuminaga, Yuigi
Kim, Raymond
Aluwihare, Kushlan
Skinner, Sarah
Brennan, Janelle
Wong, Lih-Ming
author_facet Gavin, Dominic James
Kam, Jonathan
Krelle, Matthew
Louie-Johnsun, Mark
Sutherland, Tom
Koschel, Samantha
Jenkins, Mark
Yuminaga, Yuigi
Kim, Raymond
Aluwihare, Kushlan
Skinner, Sarah
Brennan, Janelle
Wong, Lih-Ming
author_sort Gavin, Dominic James
collection PubMed
description BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has shown promise to improve detection of prostate cancer over conventional methods. However, most studies do not describe whether the location of mpMRI lesions match that of cancer found at biopsy, which may lead to an overestimation of accuracy. OBJECTIVE: To quantitate the effect of mapping locations of mpMRI lesions to locations of positive biopsy cores on the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of mpMRI. DESIGN, SETTING, AND PARTICIPANT: We retrospectively identified patients having mpMRI of the prostate preceding prostate biopsy at three centres from 2013 to 2016. Men with targetable lesions on imaging underwent directed biopsy in addition to systematic biopsy. We correlated locations of positive mpMRI lesions with those of positive biopsy cores, defining a match when both were in the same sector of the prostate. We defined positive mpMRI as Prostate Imaging Reporting and Data System (PI-RADS) score ≥4 and significant cancer at biopsy as grade group ≥2. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Sensitivity, specificity, PPV, and NPV were calculated with and without location matching. RESULTS AND LIMITATIONS: Of 446 patients, 247 (55.4%) had positive mpMRI and 232 (52.0%) had significant cancer at biopsy. Sensitivity and NPV for detecting significant cancer with location matching (both 63.4%) were decreased compared with those without location matching (77.6% and 73.9%, respectively). Of the 85 significant cancers not detected by mpMRI, most were of grade group 2 (64.7%, 55/85). CONCLUSIONS: We report a 10–15% decrease in sensitivity and NPV when location matching was used to detect significant prostate cancer by mpMRI. False negative mpMRI remains an issue, highlighting the continued need for biopsy and for improving the standards around imaging quality and reporting. PATIENT SUMMARY: The true accuracy of multiparametric magnetic resonance imaging (mpMRI) must be determined to interpret results and better counsel patients. We mapped the location of positive mpMRI lesions to where cancer was found at biopsy and found, when compared with matching to cancer anywhere in the prostate, that the accuracy of mpMRI decreased by 10–15%.
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spelling pubmed-83178422021-07-29 Quantifying the Effect of Location Matching on Accuracy of Multiparametric Magnetic Resonance Imaging Prior to Prostate Biopsy—A Multicentre Study Gavin, Dominic James Kam, Jonathan Krelle, Matthew Louie-Johnsun, Mark Sutherland, Tom Koschel, Samantha Jenkins, Mark Yuminaga, Yuigi Kim, Raymond Aluwihare, Kushlan Skinner, Sarah Brennan, Janelle Wong, Lih-Ming Eur Urol Open Sci Prostate Cancer BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has shown promise to improve detection of prostate cancer over conventional methods. However, most studies do not describe whether the location of mpMRI lesions match that of cancer found at biopsy, which may lead to an overestimation of accuracy. OBJECTIVE: To quantitate the effect of mapping locations of mpMRI lesions to locations of positive biopsy cores on the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of mpMRI. DESIGN, SETTING, AND PARTICIPANT: We retrospectively identified patients having mpMRI of the prostate preceding prostate biopsy at three centres from 2013 to 2016. Men with targetable lesions on imaging underwent directed biopsy in addition to systematic biopsy. We correlated locations of positive mpMRI lesions with those of positive biopsy cores, defining a match when both were in the same sector of the prostate. We defined positive mpMRI as Prostate Imaging Reporting and Data System (PI-RADS) score ≥4 and significant cancer at biopsy as grade group ≥2. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Sensitivity, specificity, PPV, and NPV were calculated with and without location matching. RESULTS AND LIMITATIONS: Of 446 patients, 247 (55.4%) had positive mpMRI and 232 (52.0%) had significant cancer at biopsy. Sensitivity and NPV for detecting significant cancer with location matching (both 63.4%) were decreased compared with those without location matching (77.6% and 73.9%, respectively). Of the 85 significant cancers not detected by mpMRI, most were of grade group 2 (64.7%, 55/85). CONCLUSIONS: We report a 10–15% decrease in sensitivity and NPV when location matching was used to detect significant prostate cancer by mpMRI. False negative mpMRI remains an issue, highlighting the continued need for biopsy and for improving the standards around imaging quality and reporting. PATIENT SUMMARY: The true accuracy of multiparametric magnetic resonance imaging (mpMRI) must be determined to interpret results and better counsel patients. We mapped the location of positive mpMRI lesions to where cancer was found at biopsy and found, when compared with matching to cancer anywhere in the prostate, that the accuracy of mpMRI decreased by 10–15%. Elsevier 2020-08-12 /pmc/articles/PMC8317842/ /pubmed/34337456 http://dx.doi.org/10.1016/j.euros.2020.07.001 Text en © 2020 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Prostate Cancer
Gavin, Dominic James
Kam, Jonathan
Krelle, Matthew
Louie-Johnsun, Mark
Sutherland, Tom
Koschel, Samantha
Jenkins, Mark
Yuminaga, Yuigi
Kim, Raymond
Aluwihare, Kushlan
Skinner, Sarah
Brennan, Janelle
Wong, Lih-Ming
Quantifying the Effect of Location Matching on Accuracy of Multiparametric Magnetic Resonance Imaging Prior to Prostate Biopsy—A Multicentre Study
title Quantifying the Effect of Location Matching on Accuracy of Multiparametric Magnetic Resonance Imaging Prior to Prostate Biopsy—A Multicentre Study
title_full Quantifying the Effect of Location Matching on Accuracy of Multiparametric Magnetic Resonance Imaging Prior to Prostate Biopsy—A Multicentre Study
title_fullStr Quantifying the Effect of Location Matching on Accuracy of Multiparametric Magnetic Resonance Imaging Prior to Prostate Biopsy—A Multicentre Study
title_full_unstemmed Quantifying the Effect of Location Matching on Accuracy of Multiparametric Magnetic Resonance Imaging Prior to Prostate Biopsy—A Multicentre Study
title_short Quantifying the Effect of Location Matching on Accuracy of Multiparametric Magnetic Resonance Imaging Prior to Prostate Biopsy—A Multicentre Study
title_sort quantifying the effect of location matching on accuracy of multiparametric magnetic resonance imaging prior to prostate biopsy—a multicentre study
topic Prostate Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317842/
https://www.ncbi.nlm.nih.gov/pubmed/34337456
http://dx.doi.org/10.1016/j.euros.2020.07.001
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