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Risk factor analysis and optimal cutoff value selection of PSAD for diagnosing clinically significant prostate cancer in patients with negative mpMRI: results from a high-volume center in Southeast China.
Lin, Shen; Jiang, Wubin; Ding, Jiafeng; Hao, Sida; Chen, Hong; Xie, Liping; Zheng, Xiangyi.
Afiliação
  • Lin S; Department of Urology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, China.
  • Jiang W; Department of Urology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, China.
  • Ding J; Department of Urology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
  • Hao S; Department of Urology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, China.
  • Chen H; Department of Urology, Lishui Hospital of Zhejiang University, No. 289 Kuocang Road, Lishui, Zhejiang, 323000, China.
  • Xie L; Department of Urology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, China.
  • Zheng X; Department of Urology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, China.
World J Surg Oncol ; 22(1): 140, 2024 May 28.
Article em En | MEDLINE | ID: mdl-38802859
ABSTRACT

BACKGROUND:

Multi-parametric magnetic resonance imaging (mpMRI) is a diagnostic tool used for screening, localizing, and staging prostate cancer. Patients with Prostate Imaging Reporting and Data System (PI-RADS) score of 1 and 2 are considered negative mpMRI, with a lower likelihood of detecting clinically significant prostate cancer (csPCa). However, relying solely on mpMRI is insufficient to completely exclude csPCa, necessitating further stratification of csPCa patients using biomarkers.

METHODS:

A retrospective study was conducted on mpMRI-negative patients who underwent prostate biopsy at the First Affiliated Hospital of Zhejiang University from January 2022 to June 2023. A total of 607 patients were included based on inclusion and exclusion criteria. Univariate and multivariate logistic regression analysis were performed to identify risk factors for diagnosing csPCa in patients with negative mpMRI. Receiver Operating Characteristic (ROC) curves were plotted to compare the discriminatory ability of different Prostate-Specific Antigen Density (PSAD) cutoff values for csPCa.

RESULTS:

Among the 607 patients with negative mpMRI, 73 patients were diagnosed with csPCa. In univariate logistic regression analysis, age, PSA, f/tPSA, prostate volume, and PSAD were all associated with diagnosing csPCa in patients with negative mpMRI (P < 0.05), with PSAD being the most accurate predictor. In multivariate logistic regression analysis, f/tPSA, age, and PSAD were independent predictors of csPCa (P < 0.05). PSAD cutoff value of 0.20 ng/ml/ml has better discriminatory ability for predicting csPCa and is a significant risk factor for csPCa in multivariate analysis.

CONCLUSION:

Age, f/tPSA, and PSAD are independent predictors of diagnosing csPCa in patients with negative mpMRI. It is suggested that patients with negative mpMRI and PSAD less than 0.20 ng/ml/ml could avoid prostate biopsy, as a PSAD cutoff value of 0.20 ng/ml/ml has better diagnostic performance than the traditional cutoff value of 0.15 ng/ml/ml.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Antígeno Prostático Específico / Imageamento por Ressonância Magnética Multiparamétrica Limite: Aged / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: World J Surg Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Antígeno Prostático Específico / Imageamento por Ressonância Magnética Multiparamétrica Limite: Aged / Humans / Male / Middle aged País/Região como assunto: Asia Idioma: En Revista: World J Surg Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China