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Objective: The objective of this study is to evaluate prostate-specific membrane antigen positron emission tomography-computed tomography (PSMA PET/CT)-based primary staging in exclusively D′Amico intermediate-risk prostate cancer (PCa) patients. Patients and Methods: We relied on the Braunschweig institutional database and retrospectively identified D′Amico intermediate-risk PCa patients who were administered to 68Ga-PSMA PET/CT-based primary staging prior to consecutive radical prostatectomy and extended lymph node dissection. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for the detection of lymph node metastases were analyzed per-patient (n = 39), per-pelvic side (n = 78), and per-anatomic-region (external iliac artery and vein left/right vs. obturator fossa left/right vs. internal iliac artery left/right) (n = 203), respectively. Results: Sensitivity, specificity, PPV, and NPV per-patient were 20.0, 94.1, 33.3, and 88.9%, respectively. Sensitivity, specificity, PPV, and NPV per-pelvic-side were 16.7, 97.2, 33.3, and 93.3%, respectively. Sensitivity, specificity, PPV, and NPV per-anatomic-region were 16.7, 99.0, 33.3, and 97.5%, respectively. Conclusions: We recorded high rates of specificity and NPV for 68Ga-PSMA PET/CT-based primary staging in D′Amico intermediate-risk PCa patients. Conversely, the sensitivity and PPV were lower than anticipated. Larger and favorably prospective trials are needed to verify our results and to unravel possible bias from such smaller studies. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study was to predict computed tomography (CT)-controlled treatment success after minimally invasive percutaneous nephrolithotomy (Mini-PCNL). Patients and Methods: We relied on retrospective single institutional data from 92 kidney stone patients treated with Mini-PCNL. Residual stones after treatment were evaluated by post-Mini-PCNL CT scans. Stone-free status was defined as clinically insignificant residual stones ≤3 mm after surgery. Multivariable logistic regression analyses predicted stone-free status after Mini-PCNL. Results: Overall, 53 (57.6%) patients achieved stone-free status after Mini-PCNL treatment. In multivariable logistic regression analyses, stone localization was the strongest predictor for stone-free status after Mini-PCNL. Specifically, patients with exclusively pelvic stones were 7.1-fold more likely to achieve stone-free status than those patients with stones at multiple localizations (OR: 7.1; p = 0.005). Additionally, stone size represented a barrier for stone-free status (OR: 0.9; p = 0.03). Conclusions: Stone localization revealed the highest impact on treatment success after Mini-PCNL. Especially, those patients with exclusively pelvic stones were most likely to achieve stone-free status. Conversely, patients with multiple stone localizations were less likely to achieve stone-free status and need to be informed about higher risk of additional interventions after initial Mini-PCNL. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to examine elastography-based prostate biopsy in prostate cancer (PCa) patients under active surveillance. Patients and Methods: We relied on PCa patients who opted for active surveillance and underwent elastography targeted and systematic follow-up biopsy at the Braunschweig Prostate Cancer Center between October 2009 and February 2015. Each prostate sextant was considered as an individual case. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy (ACC) for elastography to predict follow-up biopsy results were analyzed, respectively, and 95 % confidence intervals (CIs) were carried out by using 2000 bootstrapping sample analyses. Results: Overall, 50 men and 300 sextants were identified. Overall, 27 (54%) men and 66 (22%) sextants harbored PCa at follow-up biopsy. Sensitivity, specificity, PPV, NPV, and ACC for elastography to predict follow-up biopsy results were: 19.7 (95% CI: 11.9–27.3), 86.8 (95% CI: 82.7–90.3), 29.6 (95% CI: 14.6–46.0), 79.3 (95% CI: 71.6–86.5), and 72.0% (95% CI: 65.7–78.3), respectively. Conclusions: We recorded limited reliability of elastography-based prediction of follow-up biopsy results in active surveillance patients. Based on our analyses, we can neither recommend to rely exclusively on elastography-based targeted biopsies nor to delay or to omit follow-up biopsies based on elastography results during active surveillance. [ABSTRACT FROM AUTHOR]

Objective: To examine and predicting stone-free rates (SFRs) after minimally invasive-percutaneous nephrolithotomy (mini-PNL) based on computed tomography (CT), instead of X-ray or ultrasound control. Patients and Methods: We identified 146 mini-PNL patients with pre- and postoperative CT scans. Patient and stone characteristics were assessed. Stone-free status was defined as ≤3 mm residual fragment after mini-PNL according to postsurgery CT scan. Multivariable logistic regression analyses predicted stone-free status after mini-PNL. Results: Overall, 62 (42.5%) patients achieved stone-free status after mini-PNL. In multivariable analyses, stone size was the only independent predictor for stone-free status (OR 0.9; p = 0.02). Patients with stones > 20 mm were less likely to achieve stone-free status, than those harboring stones 10–20 mm (OR 0.3; p = 0.009). SFRs according to stone size categories (< 10, 10–20, and > 20 mm) were 33.3, 50.5, and 25%. Body mass index (BMI) and stone density (Houndsfield units) were no independent predictors for stone-free status after mini-PNL. Conclusions: We report lower SFRs than expected. Stone size was the only independent predictor for stone-free status after mini-PNL. Patients with larger stones need to be informed about high risk of additional interventions. High BMI and high stone density do not represent a barrier for stone-free status after mini-PNL. [ABSTRACT FROM AUTHOR]

Objective: To examine characteristics of robot-assisted (RARP) and open radical prostatectomy (ORP) patients. Patients and Methods: We relied on the Surveillance, Epidemiology, and End Results-Medicare-linked database and focused on prostate cancer patients between 2008 and 2009. In multivariable logistic regression analyses, we predicted RARP. Results: Of 5,915 patients, 3,476 (58.8%) underwent RARP and 2,439 (41.2%) ORP. Patients within intermediate (OR 1.4, p = 0.01) or highest (OR 1.5, p = 0.02) education stra- ta and those treated by surgeons with a high volume (OR 2.2, p < 0.001) were more likely to undergo RARP. Conversely, those residing in rural areas (OR 0.7, p = 0.005) and those with clinical stage T2 or higher (OR 0.7, p = 0.006) were less likely to undergo RARP. Additionally, patients from the Southwest were less likely to undergo RARP (OR 0.4, p < 0.001), but those from the Northern Plains were more likely to undergo RARP (OR 1.4, p = 0.02) than their counterparts from the East. Finally, RARP patients were neither younger nor healthier than ORP patients. Conclusions: Several patient characteristics such as education, region of residence and population density affect the likelihood of RARP vs. ORP treatment. Similarly, clinical stage and surgeon characteristics also affect the assignment to one or other treatment modality. [ABSTRACT FROM AUTHOR]

Objective: To examine the characteristics of robot-assisted radical prostatectomy (RARP) and open radical prostatectomy (ORP) patients at a high-volume center. Patients and Methods: We relied on the Martini-Clinic database and focused on prostate cancer patients treated in 2013. Characteristics in ORP and RARP patients were assessed. In multivariable logistic regression analyses (MVA), we predicted RARP treatment. Results: Of 1,920 patients, 575 (29.9%) underwent RARP and 1,345 (70.1%) ORP. RARP patients had a lower prostate-specific antigen (PSA), and were less likely to harbor pT3b, pathological Gleason ≥ 4 + 4 or lymph node metastases (all p < 0.05). Pelvic lymph node dissection (PLND) (84.3 vs. 87.0%, p = 0.1), as well as positive surgical margins (15.5 vs. 15.7%, p = 0.7) and the nerve-sparing status (p = 0.5) were comparable between RARP and ORP. Lymph node yield (median 11 vs. 16), and median blood loss (250 vs. 700 ml) were lower at RARP (all p < 0.001). Additionally, the median operating room time was higher at RARP (215 vs. 185 min, p < 0.001). In MVA, patients with body mass index (BMI) ≥ 30 were more likely to undergo RARP (OR 1.8, 95% CI 1.3- 2.4, p < 0.001). Conversely, patients with PSA >20 ng/ml were less likely to undergo RARP (OR 0.6, 95% CI 0.4-1.0, p = 0.03). Conclusions: More favorable pathological characteristics were recorded at RARP. High BMI and low PSA were independent predictors for RARP. Treatment characteristics such as PLND rates, margin status and nerve sparing were comparable between RARP and ORP. Despite lower blood loss at RARP, a longer operating room time and lower yield of lymph nodes were recorded. [ABSTRACT FROM AUTHOR]

Introduction: Prostate cancer (PCa) detection is accompanied by overdiagnosis and mischaracterization of PCa. Therefore, new imaging modalities like shear wave elastography (SWE) are required. Aim: The aim of this study was to evaluate per-core detection rates (DRs) of targeted biopsies and systematic biopsies and to test if SWE findings can predict presence of clinically significant PCa (csPCa) at biopsy. Patients and Methods: Overall, 95 patients scheduled for prostate biopsy in our center underwent SWE. SWE findings were classified into suspicious or normal. Targeted biopsies were taken in up to 3 SWE-suspicious areas. csPCa was defined as the presence of Gleason pattern ≥4, level of prostate-specific antigen ≥10 ng/ml or >2 positive cores. Results: Overall DR for csPCa in our study cohort was 40%. Per-core DR for exclusively SWE-targeted cores versus systematic samples cores was 10.5 vs. 8.6% (p = 0.3). In the logistic regression models, individuals with suspicious SWE findings are at 6.4-fold higher risk of harboring csPCa (p = 0.03). Gain in predictive accuracy was 2.3% (0.82 vs. 0.84, p = 0.01). Conclusions: Presence of suspicious SWE findings is an independent predictor of csPCa. Therefore, SWE may be helpful in selecting patients for biopsy. Nonetheless, per-core DR for SWE-targeted cores was not statistically significant higher than DR of systematic sampled cores. Therefore, additional systematic biopsy is mandatory. © 2015 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]