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Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection

BACKGROUND: Prostate-specific antigen (PSA) is considered neither sensitive nor specific for prostate cancer (PCa). We aimed to compare total PSA (tPSA), percentage of free PSA (%fPSA), the PSA density (PSAD), Prostate Health Index (PHI), and the PHI density (PHID) to see which one could best predic...

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Autores principales: Chiu, Shih-Ting, Cheng, Yung-Ting, Pu, Yeong-Shiau, Lu, Yu-Chuan, Hong, Jian-Hua, Chung, Shiu-Dong, Chiang, Chih-Hung, Huang, Chao-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640459/
https://www.ncbi.nlm.nih.gov/pubmed/34869007
http://dx.doi.org/10.3389/fonc.2021.772182
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author Chiu, Shih-Ting
Cheng, Yung-Ting
Pu, Yeong-Shiau
Lu, Yu-Chuan
Hong, Jian-Hua
Chung, Shiu-Dong
Chiang, Chih-Hung
Huang, Chao-Yuan
author_facet Chiu, Shih-Ting
Cheng, Yung-Ting
Pu, Yeong-Shiau
Lu, Yu-Chuan
Hong, Jian-Hua
Chung, Shiu-Dong
Chiang, Chih-Hung
Huang, Chao-Yuan
author_sort Chiu, Shih-Ting
collection PubMed
description BACKGROUND: Prostate-specific antigen (PSA) is considered neither sensitive nor specific for prostate cancer (PCa). We aimed to compare total PSA (tPSA), percentage of free PSA (%fPSA), the PSA density (PSAD), Prostate Health Index (PHI), and the PHI density (PHID) to see which one could best predict clinically significant prostate cancer (csPCa): a potentially lethal disease. METHODS: A total of 412 men with PSA of 2–20 ng/mL were prospectively included. Serum biomarkers for PCa was collected before transrectal ultrasound guided prostate biopsy. PHI was calculated by the formula: (p2PSA/fPSA) x √tPSA. PHID was calculated as PHI divided by prostate volume measured by transrectal ultrasound. RESULTS: Of the 412 men, 134 (32.5%) and 94(22.8%) were diagnosed with PCa and csPCa, respectively. We used the area under the receiver operating characteristic curve (AUC) and decision curve analyses (DCA) to compare the performance of PSA related parameters, PHI and PHID in diagnosing csPCa. AUC for tPSA, %fPSA, %p2PSA, PSAD, PHI and PHID were 0.56、0.63、0.76、0.74、0.77 and 0.82 respectively for csPCa detection. In the univariate analysis, the prostate volume, tPSA, %fPSA, %p2PSA, PHI, PSAD, and PHID were all significantly associated with csPCa, and PHID was the most important predictor (OR 1.41, 95% CI 1.15–1.72). Besides, The AUC of PHID was significantly larger than PHI in csPCa diagnosis (p=0.004). At 90% sensitivity, PHID had the highest specificity (54.1%) for csPCa and could reduce the most unnecessary biopsies (43.7%) and miss the fewest csPCa (8.5%) when PHID ≥ 0.67. In addition to AUC, DCA re-confirmed the clinical benefit of PHID over all PSA-related parameters and PHI in csPCa diagnosis. The PHID cut-off value was positively correlated with the csPCa ratio in the PHID risk table, which is useful for evaluating csPCa risk in a clinical setting. CONCLUSION: The PHID is an excellent predictor of csPCa. The PHID risk table may be used in standard clinical practice to pre-select men at the highest risk of harboring csPCa.
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spelling pubmed-86404592021-12-04 Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection Chiu, Shih-Ting Cheng, Yung-Ting Pu, Yeong-Shiau Lu, Yu-Chuan Hong, Jian-Hua Chung, Shiu-Dong Chiang, Chih-Hung Huang, Chao-Yuan Front Oncol Oncology BACKGROUND: Prostate-specific antigen (PSA) is considered neither sensitive nor specific for prostate cancer (PCa). We aimed to compare total PSA (tPSA), percentage of free PSA (%fPSA), the PSA density (PSAD), Prostate Health Index (PHI), and the PHI density (PHID) to see which one could best predict clinically significant prostate cancer (csPCa): a potentially lethal disease. METHODS: A total of 412 men with PSA of 2–20 ng/mL were prospectively included. Serum biomarkers for PCa was collected before transrectal ultrasound guided prostate biopsy. PHI was calculated by the formula: (p2PSA/fPSA) x √tPSA. PHID was calculated as PHI divided by prostate volume measured by transrectal ultrasound. RESULTS: Of the 412 men, 134 (32.5%) and 94(22.8%) were diagnosed with PCa and csPCa, respectively. We used the area under the receiver operating characteristic curve (AUC) and decision curve analyses (DCA) to compare the performance of PSA related parameters, PHI and PHID in diagnosing csPCa. AUC for tPSA, %fPSA, %p2PSA, PSAD, PHI and PHID were 0.56、0.63、0.76、0.74、0.77 and 0.82 respectively for csPCa detection. In the univariate analysis, the prostate volume, tPSA, %fPSA, %p2PSA, PHI, PSAD, and PHID were all significantly associated with csPCa, and PHID was the most important predictor (OR 1.41, 95% CI 1.15–1.72). Besides, The AUC of PHID was significantly larger than PHI in csPCa diagnosis (p=0.004). At 90% sensitivity, PHID had the highest specificity (54.1%) for csPCa and could reduce the most unnecessary biopsies (43.7%) and miss the fewest csPCa (8.5%) when PHID ≥ 0.67. In addition to AUC, DCA re-confirmed the clinical benefit of PHID over all PSA-related parameters and PHI in csPCa diagnosis. The PHID cut-off value was positively correlated with the csPCa ratio in the PHID risk table, which is useful for evaluating csPCa risk in a clinical setting. CONCLUSION: The PHID is an excellent predictor of csPCa. The PHID risk table may be used in standard clinical practice to pre-select men at the highest risk of harboring csPCa. Frontiers Media S.A. 2021-11-19 /pmc/articles/PMC8640459/ /pubmed/34869007 http://dx.doi.org/10.3389/fonc.2021.772182 Text en Copyright © 2021 Chiu, Cheng, Pu, Lu, Hong, Chung, Chiang and Huang 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
Chiu, Shih-Ting
Cheng, Yung-Ting
Pu, Yeong-Shiau
Lu, Yu-Chuan
Hong, Jian-Hua
Chung, Shiu-Dong
Chiang, Chih-Hung
Huang, Chao-Yuan
Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection
title Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection
title_full Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection
title_fullStr Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection
title_full_unstemmed Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection
title_short Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection
title_sort prostate health index density outperforms prostate health index in clinically significant prostate cancer detection
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640459/
https://www.ncbi.nlm.nih.gov/pubmed/34869007
http://dx.doi.org/10.3389/fonc.2021.772182
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