The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations
Purpose: The aim of this study was to evaluate the effectiveness of the Prostate Health Index (PHI) and prostate multi-parametric magnetic resonance imaging (mpMRI) in predicting prostate cancer (PCa) and clinically significant prostate cancer (csPCa) during initial prostate biopsy. Materials and M...
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Korean Urological Association
2022-11-01
|
| Series: | Investigative and Clinical Urology |
| Subjects: | |
| Online Access: | https://www.icurology.org/pdf/10.4111/icu.20220056 |
| _version_ | 1797985127620411392 |
|---|---|
| author | Changhee Ye Jin-Nyoung Ho Dan Hyo Kim Sang Hun Song Hwanik Kim Hakmin Lee Seong Jin Jeong Sung Kyu Hong Seok-Soo Byun Hyungwoo Ahn Sung Il Hwang Hak Jong Lee Sangchul Lee |
| author_facet | Changhee Ye Jin-Nyoung Ho Dan Hyo Kim Sang Hun Song Hwanik Kim Hakmin Lee Seong Jin Jeong Sung Kyu Hong Seok-Soo Byun Hyungwoo Ahn Sung Il Hwang Hak Jong Lee Sangchul Lee |
| author_sort | Changhee Ye |
| collection | DOAJ |
| description | Purpose: The aim of this study was to evaluate the effectiveness of the Prostate Health Index (PHI) and prostate multi-parametric magnetic resonance imaging (mpMRI) in predicting prostate cancer (PCa) and clinically significant prostate cancer (csPCa) during initial prostate biopsy.
Materials and Methods: In total, 343 patients underwent initial prostate biopsy and were screened by use of PHI and prostate-specific antigen (PSA) levels between April 2019 and July 2021. A subgroup of 232 patients also underwent prostate mpMRI. Logistic regression analysis was performed to evaluate the accuracies of PSA, PHI, and mpMRI as predictors of PCa or csPCa. These predictive accuracies were quantified by using the area under the receiver operating characteristic curve. The different predictive models were compared using the DeLong test.
Results: Logistic regression showed that age, PSA, PHI, and prostate volume were significant predictors of both PCa and csPCa. In the mpMRI subgroup, age, PSA level, PHI, prostate volume, and mpMRI were predictors of both PCa and csPCa. The PHI (area under the curve [AUC]=0.693) was superior to the PSA level (AUC=0.615) as a predictor of PCa (p=0.038). Combining PHI and mpMRI showed the most accurate prediction of both PCa and csPCa (AUC=0.833, 0.881, respectively).
Conclusions: The most accurate prediction of both PCa and csPCa can be performed by combining PHI and mpMRI. In the absence of mpMRI, PHI is superior to PSA alone as a predictor of PCa, and adding PHI to PSA can increase the detection rate of both PCa and csPCa. |
| first_indexed | 2024-04-11T07:12:41Z |
| format | Article |
| id | doaj.art-d2beac4de46f4626a2faf19b3dd085ac |
| institution | Directory Open Access Journal |
| issn | 2466-0493 2466-054X |
| language | English |
| last_indexed | 2024-04-11T07:12:41Z |
| publishDate | 2022-11-01 |
| publisher | Korean Urological Association |
| record_format | Article |
| series | Investigative and Clinical Urology |
| spelling | doaj.art-d2beac4de46f4626a2faf19b3dd085ac2022-12-22T04:38:07ZengKorean Urological AssociationInvestigative and Clinical Urology2466-04932466-054X2022-11-0163663163810.4111/icu.20220056The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populationsChanghee Ye0https://orcid.org/0000-0002-2328-8436Jin-Nyoung Ho1https://orcid.org/0000-0003-3224-5347Dan Hyo Kim2https://orcid.org/0000-0002-6938-807XSang Hun Song3https://orcid.org/0000-0003-3016-0032Hwanik Kim4https://orcid.org/0000-0001-5201-2490Hakmin Lee5https://orcid.org/0000-0002-1247-9958Seong Jin Jeong6https://orcid.org/0000-0002-3580-1452Sung Kyu Hong7https://orcid.org/0000-0002-8344-6774Seok-Soo Byun8https://orcid.org/0000-0001-9356-9500Hyungwoo Ahn9https://orcid.org/0000-0003-3266-6176Sung Il Hwang10https://orcid.org/0000-0001-7516-5369Hak Jong Lee11https://orcid.org/0000-0003-0858-7873Sangchul Lee12https://orcid.org/0000-0003-0844-6843Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.Purpose: The aim of this study was to evaluate the effectiveness of the Prostate Health Index (PHI) and prostate multi-parametric magnetic resonance imaging (mpMRI) in predicting prostate cancer (PCa) and clinically significant prostate cancer (csPCa) during initial prostate biopsy. Materials and Methods: In total, 343 patients underwent initial prostate biopsy and were screened by use of PHI and prostate-specific antigen (PSA) levels between April 2019 and July 2021. A subgroup of 232 patients also underwent prostate mpMRI. Logistic regression analysis was performed to evaluate the accuracies of PSA, PHI, and mpMRI as predictors of PCa or csPCa. These predictive accuracies were quantified by using the area under the receiver operating characteristic curve. The different predictive models were compared using the DeLong test. Results: Logistic regression showed that age, PSA, PHI, and prostate volume were significant predictors of both PCa and csPCa. In the mpMRI subgroup, age, PSA level, PHI, prostate volume, and mpMRI were predictors of both PCa and csPCa. The PHI (area under the curve [AUC]=0.693) was superior to the PSA level (AUC=0.615) as a predictor of PCa (p=0.038). Combining PHI and mpMRI showed the most accurate prediction of both PCa and csPCa (AUC=0.833, 0.881, respectively). Conclusions: The most accurate prediction of both PCa and csPCa can be performed by combining PHI and mpMRI. In the absence of mpMRI, PHI is superior to PSA alone as a predictor of PCa, and adding PHI to PSA can increase the detection rate of both PCa and csPCa.https://www.icurology.org/pdf/10.4111/icu.20220056multiparametric magnetic resonance imagingprostate cancerprostate health index |
| spellingShingle | Changhee Ye Jin-Nyoung Ho Dan Hyo Kim Sang Hun Song Hwanik Kim Hakmin Lee Seong Jin Jeong Sung Kyu Hong Seok-Soo Byun Hyungwoo Ahn Sung Il Hwang Hak Jong Lee Sangchul Lee The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations Investigative and Clinical Urology multiparametric magnetic resonance imaging prostate cancer prostate health index |
| title | The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations |
| title_full | The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations |
| title_fullStr | The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations |
| title_full_unstemmed | The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations |
| title_short | The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations |
| title_sort | prostate health index and multi parametric mri improve diagnostic accuracy of detecting prostate cancer in asian populations |
| topic | multiparametric magnetic resonance imaging prostate cancer prostate health index |
| url | https://www.icurology.org/pdf/10.4111/icu.20220056 |
| work_keys_str_mv | AT changheeye theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT jinnyoungho theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT danhyokim theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT sanghunsong theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT hwanikkim theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT hakminlee theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT seongjinjeong theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT sungkyuhong theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT seoksoobyun theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT hyungwooahn theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT sungilhwang theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT hakjonglee theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT sangchullee theprostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT changheeye prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT jinnyoungho prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT danhyokim prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT sanghunsong prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT hwanikkim prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT hakminlee prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT seongjinjeong prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT sungkyuhong prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT seoksoobyun prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT hyungwooahn prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT sungilhwang prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT hakjonglee prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations AT sangchullee prostatehealthindexandmultiparametricmriimprovediagnosticaccuracyofdetectingprostatecancerinasianpopulations |