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The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer
To evaluate the performance of the Prostate Health Index (PHI) in magnetic resonance imaging-transrectal ultrasound (MRI-TRUS) fusion prostate biopsy for the detection of clinically significant prostate cancer (csPCa). We prospectively enrolled 164 patients with at least one Prostate Imaging Reporti...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935887/ https://www.ncbi.nlm.nih.gov/pubmed/33674631 http://dx.doi.org/10.1038/s41598-020-78428-6 |
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author | Fan, Yu-Hua Pan, Po-Hsun Cheng, Wei-Ming Wang, Hsin-Kai Shen, Shu-Huei Liu, Hsian-Tzu Cheng, Hao-Min Chen, Wei-Ren Huang, Tzu-Hao Wei, Tzu-Chun Huang, I-Shen Lin, Chih-Chieh Huang, Eric Y. H. Chung, Hsiao-Jen Huang, William J. S. Lin, Tzu-Ping |
author_facet | Fan, Yu-Hua Pan, Po-Hsun Cheng, Wei-Ming Wang, Hsin-Kai Shen, Shu-Huei Liu, Hsian-Tzu Cheng, Hao-Min Chen, Wei-Ren Huang, Tzu-Hao Wei, Tzu-Chun Huang, I-Shen Lin, Chih-Chieh Huang, Eric Y. H. Chung, Hsiao-Jen Huang, William J. S. Lin, Tzu-Ping |
author_sort | Fan, Yu-Hua |
collection | PubMed |
description | To evaluate the performance of the Prostate Health Index (PHI) in magnetic resonance imaging-transrectal ultrasound (MRI-TRUS) fusion prostate biopsy for the detection of clinically significant prostate cancer (csPCa). We prospectively enrolled 164 patients with at least one Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) ≥ 3 lesions who underwent MRI-TRUS fusion prostate biopsy. Of the PSA-derived biomarkers, the PHI had the best performance in predicting csPCa (AUC 0.792, CI 0.707–0.877) in patients with PI-RADS 4/5 lesions. Furthermore, the predictive power of PHI was even higher in the patients with PI-RADS 3 lesions (AUC 0.884, CI 0.792–0.976). To minimize missing csPCa, we used a PHI cutoff of 27 and 7.4% of patients with PI-RADS 4/5 lesions could have avoided a biopsy. At this level, 2.0% of cases with csPCa would have been missed, with sensitivity and NPV rates of 98.0% and 87.5%, respectively. However, the subgroup of PI-RADS 3 was too small to define the optimal PHI cutoff. PHI was the best PSA-derived biomarker to predict csPCa in MRI-TRUS fusion prostate biopsies in men with PI-RADS ≥ 3 lesions, especially for the patients with PI-RADS 3 lesions who gained the most value. |
format | Online Article Text |
id | pubmed-7935887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79358872021-03-08 The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer Fan, Yu-Hua Pan, Po-Hsun Cheng, Wei-Ming Wang, Hsin-Kai Shen, Shu-Huei Liu, Hsian-Tzu Cheng, Hao-Min Chen, Wei-Ren Huang, Tzu-Hao Wei, Tzu-Chun Huang, I-Shen Lin, Chih-Chieh Huang, Eric Y. H. Chung, Hsiao-Jen Huang, William J. S. Lin, Tzu-Ping Sci Rep Article To evaluate the performance of the Prostate Health Index (PHI) in magnetic resonance imaging-transrectal ultrasound (MRI-TRUS) fusion prostate biopsy for the detection of clinically significant prostate cancer (csPCa). We prospectively enrolled 164 patients with at least one Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) ≥ 3 lesions who underwent MRI-TRUS fusion prostate biopsy. Of the PSA-derived biomarkers, the PHI had the best performance in predicting csPCa (AUC 0.792, CI 0.707–0.877) in patients with PI-RADS 4/5 lesions. Furthermore, the predictive power of PHI was even higher in the patients with PI-RADS 3 lesions (AUC 0.884, CI 0.792–0.976). To minimize missing csPCa, we used a PHI cutoff of 27 and 7.4% of patients with PI-RADS 4/5 lesions could have avoided a biopsy. At this level, 2.0% of cases with csPCa would have been missed, with sensitivity and NPV rates of 98.0% and 87.5%, respectively. However, the subgroup of PI-RADS 3 was too small to define the optimal PHI cutoff. PHI was the best PSA-derived biomarker to predict csPCa in MRI-TRUS fusion prostate biopsies in men with PI-RADS ≥ 3 lesions, especially for the patients with PI-RADS 3 lesions who gained the most value. Nature Publishing Group UK 2021-03-05 /pmc/articles/PMC7935887/ /pubmed/33674631 http://dx.doi.org/10.1038/s41598-020-78428-6 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Fan, Yu-Hua Pan, Po-Hsun Cheng, Wei-Ming Wang, Hsin-Kai Shen, Shu-Huei Liu, Hsian-Tzu Cheng, Hao-Min Chen, Wei-Ren Huang, Tzu-Hao Wei, Tzu-Chun Huang, I-Shen Lin, Chih-Chieh Huang, Eric Y. H. Chung, Hsiao-Jen Huang, William J. S. Lin, Tzu-Ping The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer |
title | The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer |
title_full | The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer |
title_fullStr | The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer |
title_full_unstemmed | The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer |
title_short | The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer |
title_sort | prostate health index aids multi-parametric mri in diagnosing significant prostate cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935887/ https://www.ncbi.nlm.nih.gov/pubmed/33674631 http://dx.doi.org/10.1038/s41598-020-78428-6 |
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