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Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies

OBJECTIVES: The purpose of this study is to evaluate the diagnostic accuracy of the clinical variables of patients with prostate cancer (PCa) and to provide a strategy to reduce unnecessary biopsies. PATIENTS AND METHODS: A Chinese cohort that consists of 833 consecutive patients who underwent prost...

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Autores principales: Wang, Changming, Yuan, Lei, Shen, Deyun, Zhang, Bin, Wu, Baorui, Zhang, Panrui, Xiao, Jun, Tao, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709422/
https://www.ncbi.nlm.nih.gov/pubmed/36465344
http://dx.doi.org/10.3389/fonc.2022.1024204
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author Wang, Changming
Yuan, Lei
Shen, Deyun
Zhang, Bin
Wu, Baorui
Zhang, Panrui
Xiao, Jun
Tao, Tao
author_facet Wang, Changming
Yuan, Lei
Shen, Deyun
Zhang, Bin
Wu, Baorui
Zhang, Panrui
Xiao, Jun
Tao, Tao
author_sort Wang, Changming
collection PubMed
description OBJECTIVES: The purpose of this study is to evaluate the diagnostic accuracy of the clinical variables of patients with prostate cancer (PCa) and to provide a strategy to reduce unnecessary biopsies. PATIENTS AND METHODS: A Chinese cohort that consists of 833 consecutive patients who underwent prostate biopsies from January 2018 to April 2022 was collected in this retrospective study. Diagnostic ability for total PCa and clinically significant PCa (csPCa) was evaluated by prostate imaging–reporting and data system (PI-RADS) score and other clinical variables. Univariate and multivariable logistic regression analyses were performed to figure out the independent predictors. Diagnostic accuracy was estimated by plotting receiver operating characteristic curves. RESULTS: The results of univariate and multivariable analyses demonstrated that the PI-RADS score (P < 0.001, OR: 5.724, 95% CI: 4.517–7.253)/(P < 0.001, OR: 5.199, 95% CI: 4.039–6.488) and prostate-specific antigen density (PSAD) (P < 0.001, OR: 2.756, 95% CI: 1.560–4.870)/(P < 0.001, OR: 4.726, 95% CI: 2.661–8.396) were the independent clinical factors for predicting total PCa/csPCa. The combination of the PI-RADS score and PSAD presented the best diagnostic performance for the detection of PCa and csPCa. For the diagnostic criterion of “PI-RADS score ≥ 3 or PSAD ≥ 0.3”, the sensitivity and negative predictive values were 94.0% and 93.1% for the diagnosis of total PCa and 99.2% and 99.3% for the diagnosis of csPCa, respectively. For the diagnostic criterion “PI-RADS score >3 and PSAD ≥ 0.3”, the specificity and positive predictive values were 96.8% and 92.6% for the diagnosis of total PCa and 93.5% and 82.4% for the diagnosis of csPCa, respectively. CONCLUSIONS: The combination of the PI-RADS score and PSAD can implement the extraordinary diagnostic performance of PCa. Many patients may safely execute active surveillance or take systematic treatment without prostate biopsies by stratification according to the PI-RADS score and the value of PSAD.
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spelling pubmed-97094222022-12-01 Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies Wang, Changming Yuan, Lei Shen, Deyun Zhang, Bin Wu, Baorui Zhang, Panrui Xiao, Jun Tao, Tao Front Oncol Oncology OBJECTIVES: The purpose of this study is to evaluate the diagnostic accuracy of the clinical variables of patients with prostate cancer (PCa) and to provide a strategy to reduce unnecessary biopsies. PATIENTS AND METHODS: A Chinese cohort that consists of 833 consecutive patients who underwent prostate biopsies from January 2018 to April 2022 was collected in this retrospective study. Diagnostic ability for total PCa and clinically significant PCa (csPCa) was evaluated by prostate imaging–reporting and data system (PI-RADS) score and other clinical variables. Univariate and multivariable logistic regression analyses were performed to figure out the independent predictors. Diagnostic accuracy was estimated by plotting receiver operating characteristic curves. RESULTS: The results of univariate and multivariable analyses demonstrated that the PI-RADS score (P < 0.001, OR: 5.724, 95% CI: 4.517–7.253)/(P < 0.001, OR: 5.199, 95% CI: 4.039–6.488) and prostate-specific antigen density (PSAD) (P < 0.001, OR: 2.756, 95% CI: 1.560–4.870)/(P < 0.001, OR: 4.726, 95% CI: 2.661–8.396) were the independent clinical factors for predicting total PCa/csPCa. The combination of the PI-RADS score and PSAD presented the best diagnostic performance for the detection of PCa and csPCa. For the diagnostic criterion of “PI-RADS score ≥ 3 or PSAD ≥ 0.3”, the sensitivity and negative predictive values were 94.0% and 93.1% for the diagnosis of total PCa and 99.2% and 99.3% for the diagnosis of csPCa, respectively. For the diagnostic criterion “PI-RADS score >3 and PSAD ≥ 0.3”, the specificity and positive predictive values were 96.8% and 92.6% for the diagnosis of total PCa and 93.5% and 82.4% for the diagnosis of csPCa, respectively. CONCLUSIONS: The combination of the PI-RADS score and PSAD can implement the extraordinary diagnostic performance of PCa. Many patients may safely execute active surveillance or take systematic treatment without prostate biopsies by stratification according to the PI-RADS score and the value of PSAD. Frontiers Media S.A. 2022-11-16 /pmc/articles/PMC9709422/ /pubmed/36465344 http://dx.doi.org/10.3389/fonc.2022.1024204 Text en Copyright © 2022 Wang, Yuan, Shen, Zhang, Wu, Zhang, Xiao and Tao https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Wang, Changming
Yuan, Lei
Shen, Deyun
Zhang, Bin
Wu, Baorui
Zhang, Panrui
Xiao, Jun
Tao, Tao
Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies
title Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies
title_full Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies
title_fullStr Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies
title_full_unstemmed Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies
title_short Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies
title_sort combination of pi-rads score and psad can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709422/
https://www.ncbi.nlm.nih.gov/pubmed/36465344
http://dx.doi.org/10.3389/fonc.2022.1024204
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