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The influence of prostate volume on clinical parameters in prostate cancer screening
PURPOSE: The purpose of the study was to evaluate the diagnostic significance of two new and a few clinical markers for prostate cancer (PCa) at various prostate volumes (PV). METHODS: The study subjects were divided into two groups. Among them, there were 70 cases in the PV ≤30 ml group (benign pro...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551122/ https://www.ncbi.nlm.nih.gov/pubmed/36098911 http://dx.doi.org/10.1002/jcla.24700 |
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author | Shan, Jiahao Geng, Xinyu Lu, Youlu Liu, Ziyang Zhu, Hengyu Zhou, Raorao Zhang, Zhengyuan Gang, Xianghui Zhang, Duobing Shi, Hongbin |
author_facet | Shan, Jiahao Geng, Xinyu Lu, Youlu Liu, Ziyang Zhu, Hengyu Zhou, Raorao Zhang, Zhengyuan Gang, Xianghui Zhang, Duobing Shi, Hongbin |
author_sort | Shan, Jiahao |
collection | PubMed |
description | PURPOSE: The purpose of the study was to evaluate the diagnostic significance of two new and a few clinical markers for prostate cancer (PCa) at various prostate volumes (PV). METHODS: The study subjects were divided into two groups. Among them, there were 70 cases in the PV ≤30 ml group (benign prostatic hyperplasia [BPH]: 32 cases, PCa: 38 cases) and 372 cases in the PV > 30 ml group (BPH: 277 cases, PCa: 95 cases). SPSS 26.0 and GraphPad Prism 8.0 were used to construct their receiver operating characteristic (ROC) curves for diagnosing PCa and calculating their area under the ROC curve (AUC). RESULTS: In the PV ≤30 ml group, the diagnostic parameters based on prostate‐specific antigen (PSA) had a decreased diagnostic significance for PCa. In the PV > 30 ml group, PSAD (AUC = 0.709), AVR (AVR = Age/PV, AUC = 0.742), and A‐PSAD (A‐PSAD = Age×PSA/PV, AUC = 0.736) exhibited moderate diagnostic significance for PCa, which was better than PSA‐AV (AUC = 0.672), free PSA (FPSA, AUC = 0.509), total PSA (TPSA, AUC = 0.563), (F/T) PSA (AUC = 0.540), and (F/T)/PSAD (AUC = 0.663). Compared with AVR, A‐PSAD exhibited similar diagnostic significance for PCa, but higher than PSA density (PSAD). CONCLUSIONS: Choosing appropriate indicators for different PVs could contribute to the early screening and diagnosis of PCa. The difference in the diagnostic value of two new indicators (A‐PSAD and AVR), and PSAD for PCa may require further validation by increasing the sample size. |
format | Online Article Text |
id | pubmed-9551122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95511222022-10-14 The influence of prostate volume on clinical parameters in prostate cancer screening Shan, Jiahao Geng, Xinyu Lu, Youlu Liu, Ziyang Zhu, Hengyu Zhou, Raorao Zhang, Zhengyuan Gang, Xianghui Zhang, Duobing Shi, Hongbin J Clin Lab Anal Research Articles PURPOSE: The purpose of the study was to evaluate the diagnostic significance of two new and a few clinical markers for prostate cancer (PCa) at various prostate volumes (PV). METHODS: The study subjects were divided into two groups. Among them, there were 70 cases in the PV ≤30 ml group (benign prostatic hyperplasia [BPH]: 32 cases, PCa: 38 cases) and 372 cases in the PV > 30 ml group (BPH: 277 cases, PCa: 95 cases). SPSS 26.0 and GraphPad Prism 8.0 were used to construct their receiver operating characteristic (ROC) curves for diagnosing PCa and calculating their area under the ROC curve (AUC). RESULTS: In the PV ≤30 ml group, the diagnostic parameters based on prostate‐specific antigen (PSA) had a decreased diagnostic significance for PCa. In the PV > 30 ml group, PSAD (AUC = 0.709), AVR (AVR = Age/PV, AUC = 0.742), and A‐PSAD (A‐PSAD = Age×PSA/PV, AUC = 0.736) exhibited moderate diagnostic significance for PCa, which was better than PSA‐AV (AUC = 0.672), free PSA (FPSA, AUC = 0.509), total PSA (TPSA, AUC = 0.563), (F/T) PSA (AUC = 0.540), and (F/T)/PSAD (AUC = 0.663). Compared with AVR, A‐PSAD exhibited similar diagnostic significance for PCa, but higher than PSA density (PSAD). CONCLUSIONS: Choosing appropriate indicators for different PVs could contribute to the early screening and diagnosis of PCa. The difference in the diagnostic value of two new indicators (A‐PSAD and AVR), and PSAD for PCa may require further validation by increasing the sample size. John Wiley and Sons Inc. 2022-09-13 /pmc/articles/PMC9551122/ /pubmed/36098911 http://dx.doi.org/10.1002/jcla.24700 Text en © 2022 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Shan, Jiahao Geng, Xinyu Lu, Youlu Liu, Ziyang Zhu, Hengyu Zhou, Raorao Zhang, Zhengyuan Gang, Xianghui Zhang, Duobing Shi, Hongbin The influence of prostate volume on clinical parameters in prostate cancer screening |
title | The influence of prostate volume on clinical parameters in prostate cancer screening |
title_full | The influence of prostate volume on clinical parameters in prostate cancer screening |
title_fullStr | The influence of prostate volume on clinical parameters in prostate cancer screening |
title_full_unstemmed | The influence of prostate volume on clinical parameters in prostate cancer screening |
title_short | The influence of prostate volume on clinical parameters in prostate cancer screening |
title_sort | influence of prostate volume on clinical parameters in prostate cancer screening |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551122/ https://www.ncbi.nlm.nih.gov/pubmed/36098911 http://dx.doi.org/10.1002/jcla.24700 |
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