Citations

Introduction: Percutaneous nephrolithotomy (PCNL) has been a mainstay treatment for large stone burdens since the 1980s, historically offering improved stone-free rates over retrograde intrarenal surgery (RIRS). Gaining optimal access into the renal collecting system can be challenging, requiring advanced skills or interventional radiology assistance. The learning curve for fluoroscopic and ultrasonography access can be steep, with only a minority of PCNL access performed by urologists in the United States. This study compares robotic-assisted electromagnetic (EM) guidance to traditional fluoroscopy for obtaining percutaneous renal access between cohorts of novice and expert urologists. Methods: Ten novices and five expert urologists used robotic-assisted EM guidance to obtain access in a modified supine position compared with using fluoroscopy in a traditional prone position in human cadavers. Primary success was defined as papillary access. Performance metrics, including number of puncture attempts, time to access, radiation exposure, and participant confidence, were compared between novices and experts. Results: Robotic-assisted EM guidance improved success rates for both novices (100% vs 70%) and experts (93% vs 87%) compared with fluoroscopy. Novices showed greater accuracy using robotic assistance (97% vs 37%). The number of insertion attempts decreased with robotic guidance for both groups (novices: 3.42 ± 0.44 vs 1.47 ± 0.19; experts: 2.13 ± 0.36 vs 1.40 ± 0.24; p < 0.002). EM guidance ( p < 0.05) and experience ( p < 0.05) significantly reduced the time from needle insertion to access (novices: 12.86 ± 2.41 minutes vs 4.49 ± 0.96 minutes; experts: 4.90 ± 1.40 minutes vs 4.09 ± 1.12 minutes). Radiation exposure was notably lower with EM guidance (novices, 1.12 ± 0.17 mGy vs 4.86 ± 0.70 mGy; experts, 0.69 ± 0.12 mGy vs 4.11 ± 1.21 mGy; p < 0.001). Novices felt more confident (5[3–5] vs 2[1–4], p < 0.001) and at ease (5[3–5] vs 2.75[1–3], p < 0.001) with EM guidance. Conclusion: Robotic-assisted EM guidance improves percutaneous access success, reduces attempts and radiation exposure, and enhances novice confidence and accuracy. This technology could enable urologists to more effectively and safely perform PCNL, especially for less experienced practitioners.

Objectives To compare postoperative complication rates of patients with metabolic syndrome (MetS) with patients without MetS after holmium laser enucleation of the prostate (HoLEP) for management of benign prostatic hyperplasia (BPH). Patients and Methods We retrospectively reviewed patients aged >40 years who underwent HoLEP at our institution from 2007 to 2022. Criteria for MetS were diagnoses of at least three of the following: diabetes mellitus, hypertension, hyperlipidaemia, or obesity (body mass index ≥30 kg/m 2 ). Uni‐ and multivariable logistic regression were used to compare the likelihood of immediate, 30‐day, and 90‐day complications between groups. Results A total of 1500 patients were included with a median (interquartile range) age of 70 (65–76) years. Patients with MetS were more likely to develop complications at both 30 and 90 days, including urinary incontinence, irritative voiding symptoms, and bleeding ( P < 0.001). After adjusting for potential confounders, patients with MetS had a greater than three times odds of both 30‐ and 90‐day complications compared to patients without MetS (30‐day adjusted odds ratio [aOR] 3.32, 95% confidence interval [CI] 2.21–5.01, P < 0.001; and 90‐day aOR 3.64, 95% CI 2.49–5.31, P < 0.001). Conclusion Metabolic syndrome was associated with a three‐fold likelihood of 30‐ and 90‐day complications after HoLEP. This could be an important factor to consider in preoperative counselling and patient selection.

Objectives: The aims of the study are to develop a prostate cancer risk prediction model that combines clinical and magnetic resonance imaging (MRI)–related findings and to assess the impact of adding Prostate Imaging-Reporting and Data System (PI-RADS) ≥3 lesions-level findings on its diagnostic performance. Methods: This 3-center retrospective study included prostate MRI examinations performed with clinical suspicion of clinically significant prostate cancer (csPCa) between 2018 and 2022. Pathological diagnosis within 1 year after the MRI was used to diagnose csPCa. Seven clinical, 3 patient-level MRI-related, and 4 lesion-level MRI-related findings were extracted. After feature selection, 2 logistic regression models with and without lesions-level findings were created using data from facility I and II (development cohort). The area under the receiver operating characteristic curve (AUC) between the 2 models was compared in the PI-RADS ≥3 population in the development cohort and Facility III (validation cohort) using the Delong test. Interfacility differences of the selected predictive variables were evaluated using the Kruskal-Wallis test or chi-squared test. Results: Selected lesion-level features included the peripheral zone involvement and apparent diffusion coefficient (ADC) values. The model with lesions-level findings had significantly higher AUC than the model without in 655 examinations in the development cohort (0.81 vs 0.79, respectively, P = 0.005), but not in 553 examinations in the validation cohort (0.77 vs 0.76, respectively). Large interfacility differences were seen in the ADC distribution (P < 0.001) and csPCa proportion in PI-RADS 3–5 (P < 0.001). Conclusions: Adding lesions-level findings improved the csPCa discrimination in the development but not the validation cohort. Interfacility differences impeded model generalization, including the distribution of reported ADC values and PI-RADS score-level csPCa proportion.

ABSTRACT Background Large language model (LLM) chatbots, a form of artificial intelligence (AI) that excels at prompt‐based interactions and mimics human conversation, have emerged as a tool for providing patients with information about urologic conditions. We aimed to examine the quality of information related to benign prostatic hyperplasia surgery from four chatbots and how they would respond to sample patient messages. Methods We identified the top three queries in Google Trends related to “treatment for enlarged prostate.” These were entered into ChatGPT (OpenAI), Bard (Google), Bing AI (Microsoft), and Doximity GPT (Doximity), both unprompted and prompted for specific criteria (optimized). The chatbot‐provided answers to each query were evaluated for overall quality by three urologists using the DISCERN instrument. Readability was measured with the built‐in Flesch–Kincaid reading level tool in Microsoft Word. To assess the ability of chatbots to answer patient questions, we prompted the chatbots with a clinical scenario related to holmium laser enucleation of the prostate, followed by 10 questions that the National Institutes of Health recommends patients ask before surgery. Accuracy and completeness of responses were graded with Likert scales. Results Without prompting, the quality of information was moderate across all chatbots but improved significantly with prompting (mean [SD], 3.3 [1.2] vs. 4.4 [0.7] out of 5; p < 0.001). When answering simulated patient messages, the chatbots were accurate (mean [SD], 5.6 [0.4] out of 6) and complete (mean [SD], 2.8 [0.3] out of 3). Additionally, 98% (39/40) had a median score of 5 or higher for accuracy, which corresponds to “nearly all correct.” The readability was poor, with a mean (SD) Flesch–Kincaid reading level grade of 12.1 (1.3) (unprompted). Conclusions LLM chatbots hold promise for patient education, but their effectiveness is limited by the need for careful prompting from the user and by responding at a reading level higher than that of most Americans (grade 8). Educating patients and physicians on optimal LLM interaction is crucial to unlock the full potential of chatbots.

Clinical History: A 60-year-old female was found to have a 2 cm Ureteropelvic junction (UPJ) stone in an ectopic right pelvic kidney while undergoing evaluation for gross hematuria. She had no prior stone history and normal renal function. Physical Exam: Physical exam was unremarkable. Computed tomography (CT) Urogram revealed a medial, pelvic kidney with overlying bowel and posterior, tortuous ureter. Renal vein ran longitudinally along the anterior surface of the kidney. Diagnosis: A 2 cm UPJ stone in an ectopic right pelvic kidney. Intervention: Given tortuosity of the ureter and overlying bowel precluded an endoscopic approach, we proceeded with robotic-assisted pyelolithotomy. 1 An open-ended ureteral catheter was advanced to allow for distension of the renal pelvis. After placing robotic trocars, peritoneum and Gerota’s fascia were dissected off the anterior surface of the kidney. Robotic Potts were used to enter the renal pelvis. No stone was visible, thus antegrade ureteroscopy was performed through a robotic port, demonstrating an impacted 2 cm lower pole stone. We performed antegrade ureteroscopy, laser lithotripsy, and basket-extraction. A robotic suction arm was employed to remove remaining dust. A double-J ureteral stent was placed antegrade, and pyelotomy was closed in a running fashion. Follow-Up/Outcomes: The patient had an uneventful postoperative course and CT at 6 weeks demonstrated no residual stone. Laparoscopic or robotic-assisted pyelolithotomy demonstrates higher stone free rates in pelvic kidneys compared with endoscopic treatment (97.2% vs 65.9%–84.9%). 2 However, surgical approach should be decided based on patients’ anatomy, stone density and location, and surgeon experience. Author Disclosure Statement: The authors have no conflicts of interest to disclose. Patient Consent Statement: Authors have received and archived patient consent for video recording/publication in advance of video recording of procedure. Music: Music was obtained from www.pixabay.com and is no copyright music, free for use. Exact Runtime of video: 5 min 00 sec.

AbstractObjectiveThis study aims to compare the long‐term outcomes of Aquablation for small‐to‐moderate (30–80 cm3) prostates with the outcomes for large (80–150 cm3) prostates at 5‐year follow up.MethodsThe Waterjet Ablation Therapy for Endoscopic Resection of Prostate Tissue (WATER; NCT02505919) is a prospective, double‐blind, international clinical trial encompassing 116 patients, examining Aquablation versus transurethral resection of the prostate (TURP) for LUTS/BPH in prostates sized between 30 and 80 cm3. In parallel, WATER II (W‐II; NCT03123250), a prospective, multicentre, single‐arm international clinical trial, explores Aquablation outcomes in prostates ranging from 80 to 150 cm3. Baseline parameters and 60‐month outcomes were scrutinized using statistical analyses, including Students' t test, Wilcoxon tests for continuous variables, and Fisher's test for binary variables.ResultsThere is a significant improvement in International Prostate Symptom Score (IPSS) from baseline to 60 months in both WATER (22.9 to 7.0) and WATER II (23.2 to 6.8) (P = 0.852). Urinary flow rate (Qmax) increased in both groups from baseline to 60 months (WATER: 9.4 to 17.3 cc/s; WATER II: 8.7 to 17.1 cc/s) (P = 0.933). Immediate and sustained enhancements were observed in IPSS and Qmax. At 5 years, a notable percentage of patients in both groups were BPH medication‐free (WATER: 99%; WATER II: 94%) (P = 0.0517) and free from surgical retreatment (WATER: 95%; WATER II: 97%) (P = 0.508).ConclusionsThe 5‐year follow‐up affirms that Aquablation therapy exhibits sustained outcomes, minimal irreversible complications, and low retreatment rates for treating LUTS/BPH, irrespective of prostate volume ranging from 30 to 150 cm3.