Objective: To assess the efficacy of radical prostatectomy (RP) in men presenting with markedly elevated prostate-specific antigen (PSA) levels, the records of 17 patients presenting with serum PSA values > or = 40 ng/mL, who underwent RP at Walter Reed Army Medical Center (WRAMC) between 1990 and 1995, were reviewed.
Methods: Pathologic and clinical data (staging, Gleason score, recurrences, adjuvant and neo-adjuvant treatment, most recent PSA value, urinary continence, and sexual function) for each patient was examined. The Kaplan-Meier method was used to analyze the disease-free survival (DFS) for PSA and clinical recurrence. Urinary continence and potency were also assessed.
Results: With a mean follow-up of 6.21 years (median 5.28 y), all 17 patients are alive. Five patients have no evidence of disease (NED), and 12 are alive with prostate cancer. Fifteen patients have PSA values between 0.1 and 3.0 ng/mL, and two patients have PSA values that have returned to pretreatment levels. Eleven patients received neo-adjuvant and/or adjuvant therapy. Fourteen men (82.3%) are continent and seven (41.1%) are potent. Survival analysis demonstrates a PSA DFS of 52.9% at five years and 26.5% at nine years; while, clinical DFS was 92.3% at five years and 58.0% at nine years.
Conclusions: This study suggests a possible surgical role in treating patients presenting with significantly elevated PSA values. While surgery alone is unlikely to cure prostate cancer in these patients, surgery in conjunction with hormonal or radiation therapy may prolong survival with acceptable effects on urinary continence and potency.
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http://dx.doi.org/10.1016/s1078-1439(02)00187-4 | DOI Listing |
J Clin Med
December 2024
Department of Urology, Health Science University Eskisehir City Health Application and Research Center, 26080 Eskisehir, Turkey.
To establish a machine learning (ML) model for predicting prostate biopsy outcomes using prostate-specific antigen (PSA) values, multiparametric magnetic resonance imaging (mpMRI) findings, and hematologic parameters. The medical records of the patients who had undergone a prostate biopsy were evaluated. Laboratory findings, mpMRI findings, and prostate biopsy results were collected.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, 20246 Hamburg, Germany.
Background: To examine the feasibility and safety of the SENSEI drop-in gamma probe for robot-assisted, prostate-specific membrane antigen (PSMA)-radioguided salvage surgery (RGS) in lymph node or local oligorecurrent prostate cancer (PCa), detected via PSMA positron emission tomography/computed tomography (PET/CT).
Methods: The first thirteen patients with pelvic oligorecurrent PCa who underwent [Tc]Tc-PSMA-I&S RGS using the SENSEI drop-in gamma probe at the Martini-Klinik (February-June 2024) were retrospectively analyzed. Radioactivity measurements in counts per second (CPS) as absolute values or ratios (CPS of tumor specimens/mean CPS from the patients' benign tissues) were correlated with preoperative imaging and pathological findings (benign/malignant, lesion size).
Diagnostics (Basel)
January 2025
Department of Medical Imaging, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
: Prostate cancer (PCa) is the most frequent neoplasia in the male population. According to the International Society of Urological Pathology (ISUP), PCa can be divided into two major groups, based on their prognosis and treatment options. Multiparametric magnetic resonance imaging (mpMRI) holds a central role in PCa assessment; however, it does not have a one-to-one correspondence with the histopathological grading of tumors.
View Article and Find Full Text PDFRadiol Imaging Cancer
January 2025
Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands.
Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) progression based on MRI and clinical parameters and compare it with established models. Materials and Methods This retrospective study included 1607 MRI scans of 1143 male patients (median age, 64 years; IQR, 59-68 years) undergoing MRI for suspicion of clinically significant PCa (csPCa) (International Society of Urological Pathology grade > 1) between January 2012 and May 2022 who were negative for csPCa at baseline MRI. A DL model was developed using baseline MRI and clinical parameters (age, prostate-specific antigen [PSA] level, PSA density, and prostate volume) to predict the time to PCa progression (defined as csPCa diagnosis at follow-up).
View Article and Find Full Text PDFBackground and objective Prostate cancer (PCA) is the most prevalent cancer among males. The National Institute for Health and Care Excellence (NICE) recommends referral to PCA diagnostic pathway based on two criteria: (1) abnormal digital rectal examination (DRE) and (2) elevated prostate-specific antigen (PSA). This study evaluates the diagnostic value of routine DRE in patients undergoing PCA assessment with pre-biopsy MRI.
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