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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9709422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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