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Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml(–1)
To improve the diagnostic efficiency of prostate cancer (PCa) and reduce unnecessary biopsies, we defined and analyzed the diagnostic efficiency of peripheral zone prostate-specific antigen (PSA) density (PZ-PSAD). Patients who underwent systematic 12-core prostate biopsies in Shanghai General Hospi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269833/ https://www.ncbi.nlm.nih.gov/pubmed/33473011 http://dx.doi.org/10.4103/aja.aja_72_20 |
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author | Wang, Cheng Wang, Yue-Yang Wang, Shi-Yuan Ding, Ji-Xiang Ding, Mao Ruan, Yuan Wang, Xiao-Hai Jing, Yi-Feng Han, Bang-Min Xia, Shu-Jie Jiang, Chen-Yi Zhao, Fu-Jun |
author_facet | Wang, Cheng Wang, Yue-Yang Wang, Shi-Yuan Ding, Ji-Xiang Ding, Mao Ruan, Yuan Wang, Xiao-Hai Jing, Yi-Feng Han, Bang-Min Xia, Shu-Jie Jiang, Chen-Yi Zhao, Fu-Jun |
author_sort | Wang, Cheng |
collection | PubMed |
description | To improve the diagnostic efficiency of prostate cancer (PCa) and reduce unnecessary biopsies, we defined and analyzed the diagnostic efficiency of peripheral zone prostate-specific antigen (PSA) density (PZ-PSAD). Patients who underwent systematic 12-core prostate biopsies in Shanghai General Hospital (Shanghai, China) between January 2012 and January 2018 were retrospectively identified (n = 529). Another group of patients with benign prostatic hyperplasia (n = 100) were randomly preselected to obtain the PSA density of the non-PCa cohort (N-PSAD). Prostate volumes and transition zone volumes were measured using multiparameter magnetic resonance imaging (mpMRI) and were combined with PSA and N-PSAD to obtain the PZ-PSAD from a specific algorithm. Receiver operating characteristic (ROC) curve analysis was used to assess the PCa detection efficiency in patients stratified by PSA level, and the area under the ROC curve (AUC) of PZ-PSAD was higher than that of PSA, PSA density (PSAD), and transition zone PSA density (TZ-PSAD). PZ-PSAD could amend the diagnosis for more than half of the patients with inaccurate transrectal ultrasonography (TRUS) and mpMRI results. When TRUS and mpMRI findings were ambiguous to predict PCa (PIRADS score ≤3), PZ-PSAD could increase the positive rate of biopsy from 21.7% to 54.7%, and help 63.8% (150/235) of patients avoid unnecessary prostate biopsy. In patients whose PSA was 4.0–10.0 ng ml(−1), 10.1–20.0 ng ml(−1), and >20.0 ng ml(−1), the ideal PZ-PSAD cut-off value for predicting clinically significant PCa was 0.019 ng ml(−2), 0.297 ng ml(−2), and 1.180 ng ml(−2), respectively (sensitivity >90%). Compared with PSA, PSAD, and TZ-PSAD, the efficiency of PZ-PSAD for predicting PCa is the highest, leading to fewer missed diagnoses and unnecessary biopsies. |
format | Online Article Text |
id | pubmed-8269833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-82698332021-07-27 Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml(–1) Wang, Cheng Wang, Yue-Yang Wang, Shi-Yuan Ding, Ji-Xiang Ding, Mao Ruan, Yuan Wang, Xiao-Hai Jing, Yi-Feng Han, Bang-Min Xia, Shu-Jie Jiang, Chen-Yi Zhao, Fu-Jun Asian J Androl Original Article To improve the diagnostic efficiency of prostate cancer (PCa) and reduce unnecessary biopsies, we defined and analyzed the diagnostic efficiency of peripheral zone prostate-specific antigen (PSA) density (PZ-PSAD). Patients who underwent systematic 12-core prostate biopsies in Shanghai General Hospital (Shanghai, China) between January 2012 and January 2018 were retrospectively identified (n = 529). Another group of patients with benign prostatic hyperplasia (n = 100) were randomly preselected to obtain the PSA density of the non-PCa cohort (N-PSAD). Prostate volumes and transition zone volumes were measured using multiparameter magnetic resonance imaging (mpMRI) and were combined with PSA and N-PSAD to obtain the PZ-PSAD from a specific algorithm. Receiver operating characteristic (ROC) curve analysis was used to assess the PCa detection efficiency in patients stratified by PSA level, and the area under the ROC curve (AUC) of PZ-PSAD was higher than that of PSA, PSA density (PSAD), and transition zone PSA density (TZ-PSAD). PZ-PSAD could amend the diagnosis for more than half of the patients with inaccurate transrectal ultrasonography (TRUS) and mpMRI results. When TRUS and mpMRI findings were ambiguous to predict PCa (PIRADS score ≤3), PZ-PSAD could increase the positive rate of biopsy from 21.7% to 54.7%, and help 63.8% (150/235) of patients avoid unnecessary prostate biopsy. In patients whose PSA was 4.0–10.0 ng ml(−1), 10.1–20.0 ng ml(−1), and >20.0 ng ml(−1), the ideal PZ-PSAD cut-off value for predicting clinically significant PCa was 0.019 ng ml(−2), 0.297 ng ml(−2), and 1.180 ng ml(−2), respectively (sensitivity >90%). Compared with PSA, PSAD, and TZ-PSAD, the efficiency of PZ-PSAD for predicting PCa is the highest, leading to fewer missed diagnoses and unnecessary biopsies. Wolters Kluwer - Medknow 2021-01-15 /pmc/articles/PMC8269833/ /pubmed/33473011 http://dx.doi.org/10.4103/aja.aja_72_20 Text en Copyright: ©The Author(s)(2021) https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Wang, Cheng Wang, Yue-Yang Wang, Shi-Yuan Ding, Ji-Xiang Ding, Mao Ruan, Yuan Wang, Xiao-Hai Jing, Yi-Feng Han, Bang-Min Xia, Shu-Jie Jiang, Chen-Yi Zhao, Fu-Jun Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml(–1) |
title | Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml(–1) |
title_full | Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml(–1) |
title_fullStr | Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml(–1) |
title_full_unstemmed | Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml(–1) |
title_short | Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml(–1) |
title_sort | peripheral zone psa density: a predominant variable to improve prostate cancer detection efficiency in men with psa higher than 4 ng ml(–1) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269833/ https://www.ncbi.nlm.nih.gov/pubmed/33473011 http://dx.doi.org/10.4103/aja.aja_72_20 |
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