Introduction: Prostate-specific antigen (PSA) and its kinetics have changed prostate cancer screening and diagnosis. The aim of the present study was to evaluate their value in prostate cancer prognosis by determining the predictive potential of PSA density for adverse pathologic features after radical prostatectomy, in terms of positive surgical margins (PSM), extracapsular disease (ECD), seminal vesicle invasion (SVI) and/or lymph node invasion (LNI), and to compare their predictive ability with preoperative PSA and biopsy Gleason score.
Methods: We retrospectively analysed 285 patients diagnosed with prostate cancer and underwent a retropubic radical prostatectomy for clinically localized disease. Data concerning preoperative PSA, biopsy Gleason score and PSA density were collected and analyzed. PSA density was calculated by dividing preoperative PSA and the pathological volume of the prostate.
Results: There was a significant difference in PSA density values between patients with PSM, ECD, SVI and LNI. Areas under the curve for PSA density were higher than those of PSA and Gleason score for all parameters of adverse pathology. In multivariate analyses, it was shown that PSA density and Gleason score were the only statistically significant predictors for PSM and ECD, PSA density and PSA for SVI and only PSA density for LNI.
Conclusion: PSA density is an accurate predictor for adverse pathology prediction in patients undergoing radical prostatectomy. These results demonstrate that this parameter is useful to determine the aggressiveness of prostate cancer and can be used as an adjunct in predicting outcomes after surgery.
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http://dx.doi.org/10.5489/cuaj.11079 | DOI Listing |
Cureus
November 2024
Department of Urology, Sligo University Hospital, Sligo, IRL.
Introduction Prostate-specific antigen density (PSAD), calculated by dividing serum PSA levels by prostate volume, offers greater specificity and accuracy than serum PSA alone in detecting prostate cancer (PCa). This study aimed to evaluate the diagnostic performance of PSAD in PCa detection across different PSA levels and its correlation with Gleason scores. Methods This retrospective, single-center study reviewed data from 154 patients with suspected PCa who underwent prostate MRI between July 2021 and July 2023.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Objective: To evaluate the efficacy of a machine learning model for predicting prostate-specific antigen (PSA) persistence after radical prostatectomy (RP).
Methods: Data from 470 patients who underwent RP at the Affiliated Hospital of Qingdao University from January 2018 to June 2021 were retrospectively analyzed. Ten risk factors, including age, body mass index (BMI), preoperative PSA, biopsy Gleason score, total prostate specific antigen density (PSAD), clinical tumor stage, clinical lymph node status, seminal vesicle invasion, capsular invasion and positive surgical margin, were included in the analysis.
Prostate
December 2024
Urology Unit, Department of Medical, Oral and Biotechnological Sciences, 'G. d'Annunzio University', Chieti, Italy.
Introduction: The introduction of multiparametric prostate magnetic resonance imaging (mpMRI) has revolutionized prostate cancer (PCa) diagnosis, enhancing the localization of clinically significant prostate cancer (csPCa) and guiding targeted biopsies. However, significant disparities in the execution, interpretation, and reporting of prostate MRI examinations across centers necessitate greater standardization and accuracy. This study compares the diagnostic efficacy of mpMRI from academic and nonacademic centers in detecting csPCa and identifies factors associated with csPCa detection.
View Article and Find Full Text PDFWorld J Surg Oncol
December 2024
Department of Urology, Başaksehir Çam and Sakura City Hospital, Istanbul, Turkey.
Purpose: Although 18 F-FDG-PET/CT is helpful in defining many types of cancer, localized prostate cancer should not be treated with this technique. This study describes the use of multi-parametric MRI (mpMRI) to characterize incidental 18 F-FDG uptake in the prostate.
Methods And Materials: While 18 F-FDG-PET/CT is useful for characterizing a variety of cancers, it is not advised for prostate cancer that is localized.
Quant Imaging Med Surg
December 2024
Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: The detection of prostate cancer (PCa) via conventional magnetic resonance imaging (MRI) in patients with prostate-specific antigen (PSA) levels within the grey zone remains challenging. Whether synthetic MRI can provide supplementary benefits for the accurate diagnosis of PCa in this specific population is still unknown. This study aims to investigate the diagnostic performance of synthetic MRI for differentiating PCa lesions from noncancerous lesions in patients with PSA levels within the grey zone (4-10 ng/mL).
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