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  4. Prediction of clinically significant prostate cancer using extra-transitional zone prostate-specific antigen among Taiwanese men.
 
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Prediction of clinically significant prostate cancer using extra-transitional zone prostate-specific antigen among Taiwanese men.

Journal
Journal of the Formosan Medical Association = Taiwan yi zhi
ISSN
0929-6646
Date Issued
2025-02-15
Author(s)
Yu, Jung-Yang
SHIH-PING LIU  
CHAO-YUAN HUANG  
SHIH-CHIEH CHUEH  
CHUNG-HSIN CHEN  
YEONG-SHIAU PU  
DOI
10.1016/j.jfma.2025.02.002
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/725373
Abstract
Purpose: To validate the use of estimated post-enucleation prostate-specific antigen (EPEPSA) and extra-transitional zone density (EtzD) in predicting clinically significant prostate cancer (csPC) in a Taiwanese cohort. Materials and methods: Between August 2017 and June 2022, patients with PSA levels <20 ng/mL who underwent prostate biopsy at the National Taiwan University Hospital were enrolled. According to a model built by a previous cohort, EPEPSA was calculated using the following formula: 1.068 + 0.016 × PSA +0.004 × prostate volume - 1.02 × adenoma volume/prostate volume. The EtzD was calculated by dividing the EPEPSA value by the peripheral zone volume, and csPC was defined as favorable-intermediate, unfavorable-intermediate, high, very-high-risk or metastatic prostate cancer, according to the National Comprehensive Cancer Network guidelines. Results: A total of 229 (32.1%) patients with csPC were diagnosed in the enrolled cohort (N = 714). Both EPEPSA and EtzD were statistically associated with csPC prediction (odds ratio [OR]: 29.56, 95% confidence interval [CI]: 5.41–161.6; OR: 4.11, 95% CI: 2.20–7.67, respectively). However, PSA density (PSAD) (area under the curve [AUC]: 0.77) still had the best predictive value compared with PSA, EPEPSA, and EtzD (AUC: 0.68, 0.64, and 0.67, respectively; all p < 0.05). There were no significant differences in the csPC prediction values of EPEPSA, EtzD, and PSA. Conclusions: Although EPEPSA and EtzD can predict csPC in Taiwan, they failed to outperform PSAD and PSA. Therefore, PSAD is the best predictor for csPC. © 2025 Formosan Medical Association
Subjects
Clinically significant prostate cancer
Extra-transitional zone density
Prostate-specific-antigen density
SDGs

[SDGs]SDG3

Type
journal article

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To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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