Diagnostic Performance of %-2proPSA and Prostate Health Index for Prostate Cancer: Prospective, Multi-institutional Study
Journal of Korean Medical Science
;
: e94-2018.
Artículo
en Inglés
| WPRIM
| ID: wpr-713491
ABSTRACT
BACKGROUND:
We evaluated the clinical performance of [-2]proPSA (p2PSA) and its derivatives in predicting the presence and aggressiveness of prostate cancer (PCa) in Korean men.METHODS:
A total of 246 men with total prostate-specific antigen (tPSA) ≥ 3.5 ng/mL who underwent their first prostate biopsy were included in this prospective, multicenter, observational study. Diagnostic accuracy of tPSA, free-to-total PSA ratio (%fPSA), p2PSA, %p2PSA, and the Beckman Coulter prostate health index (PHI) was assessed by receiver operating characteristic curve analyses and logistic regression analyses.RESULTS:
Overall, PCa was detected in 125 (50.8%) subjects. In men with tPSA 3.5–10 ng/mL, the detection rate of PCa was 39.4% (61/155). In this group, PHI and %p2PSA were the most accurate predictors of PCa and significantly outperformed tPSA and %fPSA; area under the curve for tPSA, %fPSA, %p2PSA, and PHI was 0.56, 0.69, 0.74, and 0.76, respectively. PHI was also the strongest predictor of PCa with Gleason score ≥ 7.CONCLUSION:
This study demonstrates the superior clinical performance of %p2PSA and PHI in predicting the presence and aggressiveness of PCa in Korean men. The %p2PSA and PHI appear to improve detection of PCa and provide prognostic information.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Próstata
/
Neoplasias de la Próstata
/
Biopsia
/
Anafilaxis Cutánea Pasiva
/
Biomarcadores
/
Modelos Logísticos
/
Estudios Prospectivos
/
Curva ROC
/
Antígeno Prostático Específico
/
Diagnóstico Precoz
Tipo de estudio:
Ensayo Clínico Controlado
/
Estudio diagnóstico
/
Estudio observacional
/
Estudio pronóstico
/
Factores de riesgo
/
Estudio de tamizaje
Límite:
Humanos
/
Masculino
Idioma:
Inglés
Revista:
Journal of Korean Medical Science
Año:
2018
Tipo del documento:
Artículo
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