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Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies

We aimed to investigate the relation between largest lesion diameter, prostate-specific antigen density (PSA-D), age, and the detection of clinically significant prostate cancer (csPCa) using first-time targeted biopsy (TBx) in men with Prostate Imaging—Reporting and Data System (PI-RADS) 3 index le...

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Autores principales: Osses, Daniël F., Arsov, Christian, Schimmöller, Lars, Schoots, Ivo G., van Leenders, Geert J.L.H., Esposito, Irene, Remmers, Sebastiaan, Albers, Peter, Roobol, Monique J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768373/
https://www.ncbi.nlm.nih.gov/pubmed/33321791
http://dx.doi.org/10.3390/jpm10040270
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author Osses, Daniël F.
Arsov, Christian
Schimmöller, Lars
Schoots, Ivo G.
van Leenders, Geert J.L.H.
Esposito, Irene
Remmers, Sebastiaan
Albers, Peter
Roobol, Monique J.
author_facet Osses, Daniël F.
Arsov, Christian
Schimmöller, Lars
Schoots, Ivo G.
van Leenders, Geert J.L.H.
Esposito, Irene
Remmers, Sebastiaan
Albers, Peter
Roobol, Monique J.
author_sort Osses, Daniël F.
collection PubMed
description We aimed to investigate the relation between largest lesion diameter, prostate-specific antigen density (PSA-D), age, and the detection of clinically significant prostate cancer (csPCa) using first-time targeted biopsy (TBx) in men with Prostate Imaging—Reporting and Data System (PI-RADS) 3 index lesions. A total of 292 men (2013–2019) from two referral centers were included. A multivariable logistic regression analysis was performed. The discrimination and clinical utility of the built model was assessed by the area under the receiver operation curve (AUC) and decision curve analysis, respectively. A higher PSA-D and higher age were significantly related to a higher risk of detecting csPCa, while the largest index lesion diameter was not. The discrimination of the model was 0.80 (95% CI 0.73–0.87). When compared to a biopsy-all strategy, decision curve analysis showed a higher net benefit at threshold probabilities of ≥2%. Accepting a missing ≤5% of csPCa diagnoses, a risk-based approach would result in 34% of TBx sessions and 23% of low-risk PCa diagnoses being avoided. In men with PI-RADS 3 index lesions scheduled for first-time TBx, the balance between the number of TBx sessions, the detection of low-risk PCa, and the detection of csPCa does not warrant a biopsy-all strategy. To minimize the risk of missing the diagnosis of csPCa but acknowledging the need of avoiding unnecessary TBx sessions and overdiagnosis, a risk-based approach is advisable.
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spelling pubmed-77683732020-12-29 Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies Osses, Daniël F. Arsov, Christian Schimmöller, Lars Schoots, Ivo G. van Leenders, Geert J.L.H. Esposito, Irene Remmers, Sebastiaan Albers, Peter Roobol, Monique J. J Pers Med Article We aimed to investigate the relation between largest lesion diameter, prostate-specific antigen density (PSA-D), age, and the detection of clinically significant prostate cancer (csPCa) using first-time targeted biopsy (TBx) in men with Prostate Imaging—Reporting and Data System (PI-RADS) 3 index lesions. A total of 292 men (2013–2019) from two referral centers were included. A multivariable logistic regression analysis was performed. The discrimination and clinical utility of the built model was assessed by the area under the receiver operation curve (AUC) and decision curve analysis, respectively. A higher PSA-D and higher age were significantly related to a higher risk of detecting csPCa, while the largest index lesion diameter was not. The discrimination of the model was 0.80 (95% CI 0.73–0.87). When compared to a biopsy-all strategy, decision curve analysis showed a higher net benefit at threshold probabilities of ≥2%. Accepting a missing ≤5% of csPCa diagnoses, a risk-based approach would result in 34% of TBx sessions and 23% of low-risk PCa diagnoses being avoided. In men with PI-RADS 3 index lesions scheduled for first-time TBx, the balance between the number of TBx sessions, the detection of low-risk PCa, and the detection of csPCa does not warrant a biopsy-all strategy. To minimize the risk of missing the diagnosis of csPCa but acknowledging the need of avoiding unnecessary TBx sessions and overdiagnosis, a risk-based approach is advisable. MDPI 2020-12-10 /pmc/articles/PMC7768373/ /pubmed/33321791 http://dx.doi.org/10.3390/jpm10040270 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Osses, Daniël F.
Arsov, Christian
Schimmöller, Lars
Schoots, Ivo G.
van Leenders, Geert J.L.H.
Esposito, Irene
Remmers, Sebastiaan
Albers, Peter
Roobol, Monique J.
Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies
title Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies
title_full Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies
title_fullStr Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies
title_full_unstemmed Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies
title_short Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies
title_sort equivocal pi-rads three lesions on prostate magnetic resonance imaging: risk stratification strategies to avoid mri-targeted biopsies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768373/
https://www.ncbi.nlm.nih.gov/pubmed/33321791
http://dx.doi.org/10.3390/jpm10040270
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