Publications by authors named "J R Radtke"
Background: Population-based screening for prostate cancer (PC) is still controversially discussed. Furthermore, an organized, risk-adapted screening program is already being called for across Europe. Although large randomized controlled trials have shown that prostate-specific antigen (PSA)-based screening can significantly reduce PC-specific mortality, all known screening strategies still frequently lead to overdiagnosis and consecutively to overtreatment of clinically insignificant PC.
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- - The study aimed to analyze factors affecting postoperative renal function (PRF) following robot-assisted partial nephrectomy for patients with multiple kidney tumors, using data from 132 surgeries and assessing both patient and surgical influences on outcomes.
- - Key findings included that most patients had two tumors, the average surgery lasted 175 minutes, and that the majority of surgeries met trifecta criteria, indicating successful outcomes in terms of cancer control, renal preservation, and complications.
- - Factors such as warm ischemia time, body mass index (BMI), and preoperative kidney function were found to impact kidney function loss post-surgery, with BMI and comorbidities being significant predictors of acute kidney injury during hospitalization.
A targeted transrectal biopsy with antibiotic prophylaxis is an effective alternative for patients who do not have access to transperineal biopsy. Transrectal biopsy remains a safe and straightforward method that should continue to be used.
View Article and Find Full Text PDFBicenter validation of a risk model for the preoperative prediction of extraprostatic extension of localized prostate cancer combining clinical and multiparametric MRI parameters.
World J Urol
September 2024
Article Synopsis
- This study validated a risk model that integrates clinical and multiparametric MRI parameters to predict extraprostatic extension (EPE) of prostate cancer before radical prostatectomy.
- The research analyzed data from 205 patients across two German hospitals, using techniques like receiver operating characteristic analysis to assess the model's effectiveness against ESUR criteria.
- Results showed the risk model had strong predictive performance (AUC = 0.86) for EPE, similar to the ESUR classification (AUC = 0.87), although its applicability may be limited to populations with a high prevalence of EPE.
Objective: This study aims to analyse multiparametric MRI (mpMRI) characteristics of patients diagnosed with ISUP grade group (GG) 1 prostate cancer (PC) on initial target plus systematic MRI/TRUS fusion-guided biopsy and investigate histopathological progression during follow-up.
Methods: A retrospective single-centre cohort analysis was conducted on consecutive patients with mpMRI visible lesions (PI-RADS ≥ 3) and detection of ISUP-1-PC at the time of initial biopsy. The study assessed clinical, mpMRI, and histopathological parameters.