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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...

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Autores principales: Shan, Jiahao, Geng, Xinyu, Lu, Youlu, Liu, Ziyang, Zhu, Hengyu, Zhou, Raorao, Zhang, Zhengyuan, Gang, Xianghui, Zhang, Duobing, Shi, Hongbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
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.
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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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