The Predictive Ability of Prostate-Specific Antigen (PSA) Density and Free/Total PSA Ratio in Diagnosing Clinically Significant Prostate Cancer (PCa) in Patients with Histologically Confirmed PCa with a PSA Level of 2.5-10 Ng/ML

被引:2
|
作者
Bicaklioglu, Fatih [1 ]
Aydin, Hasan Riza [1 ]
Guctas, Ahmet Ozgur [2 ]
Aksoy, Hamit Zafer [1 ]
机构
[1] Univ Hlth Sci Turkey, Trabzon Kanuni Training & Res Hosp, Clin Urol, Trabzon, Turkey
[2] Marmara Univ, Istanbul Pendik Training & Res Hosp, Clin Urol, Istanbul, Turkey
来源
关键词
Prostate-specific antigen; clinically significant prostate cancer; PSA density; SERUM; OUTCOMES;
D O I
10.4274/uob.galenos.2021.2021.9.4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: Many men with non-clinically significant prostate cancer (N-CSPCa) will not progress to symptomatic forms within their lifetime. So, predicting clinically significant PCa (CSPCa) will prevent unnecessary biopsies, overdiagnoses, and overtreatment of patients. Thus, we aimed at demonstrating the predictive ability of prostate-specific antigen (PSA) density (PSAD) and f/t PSA in revealing CSPCa (Gleason score >= 7) in patients diagnosed with prostate cancer on biopsy with a PSA level of 2.5-10 ng/mL. Materials and Methods: We evaluated 78 patients with PSA 2.5-10.0 ng/mL who underwent transrectal ultrasound guided (TRUSG)-guided prostate biopsy in our clinic between March 2017 and August 2020 and whose histology reported as prostate adenocarcinoma. In addition to the demographic content of the patients, PSA, free PSA, prostate size (with TRUSG), rectal examination findings, and prostate biopsy results were recorded. Clinically significant prostate cancer was defined as a minimum Gleason score of 7. Results: The mean age of the patients was 66.9 +/- 8.4 years, PSA value was 6.9 +/- 1.8 ng/mL, free/total PSA ratio was 18 +/- 8.1%, and PSAD was 0.150 +/- 0.078. The p-values of PSA, free PSA, PSAD, f/t PSA, and prostate volume between CSPCa and N- CSPCa groups were 0.010, 0.780, 0.001, 0.084, and 0.030, respectively. The area under the curve of the PSAD for predicting CSPCa was 0.719 with a 95% CI (0.604-0.835), and the standard errors were 0.062 and 0.059, respectively. When PSAD cut-off was 0.130 for predicting CSPCa, sensitivity and specificity rates were 75% and 63%, respectively. Conclusion: PSAD can be used in predicting CSPCa, but not f/t PSA. PSAD is not a strong stand-alone tool owing to its sensitivity and specificity, but can be a part of future nomograms for predicting CSPCa and future protocols for active surveillance.
引用
收藏
页码:215 / 218
页数:4
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