INTRODUCTION AND OBJECTIVE

The increasing demand for cost-effective surgical techniques has driven innovations in robotic-assisted radical prostatectomy (RARP). While single-port robotic surgery reduces invasiveness and improves cosmesis, its widespread use is limited by high costs and technical constraints. This study evaluates the safety, feasibility and cost-effectiveness of extraperitoneal single-port robotic-assisted radical prostatectomy (espRARP) using a modified Da Vinci Si HD system, employing a wound protector and surgical glove as a low-cost multi-channel laparoscopic port.

METHODS

Ten patients with localized prostate cancer underwent espRARP using a three-arm Da Vinci Si system and side docking to enhance instrument access. A homemade multi-channel port was constructed using an Alexis® wound protector and surgical gloves. Perioperative outcomes—including operative time, blood loss, complications and oncologic results were analyzed descriptively.

RESULTS

All cases were completed without conversion to open surgery. The mean operative time was 215.8 minutes with an estimated blood loss of 200 mL. No positive surgical margins were recorded, and 20% of patients exhibited pathological upgrading. The average hospital stay was 3.4 days. One patient developed a Clavien–Dindo II complication; no major complications occurred

LIMITATIONS

This pilot study is limited by its small sample size (n = 10), single-surgeon, single institution design, short follow-up period, and absence of functional outcome assessment. Only descriptive analysis was performed without statistical comparison.

CONCLUSION

The modified espRARP technique using a low-cost glove-port and three-arm Da Vinci Si system is safe, feasible and cost-efficient. Comparable perioperative and oncologic outcomes to conventional multi-port and proprietary single-port systems were achieved at a fraction of the cost. This approach provides a practical and accessible alternative for robotic prostatectomy in resource-limited healthcare settings.

Human ; Prostatectomy ; General Surgery ; Prostatic Neoplasms

OBJECTIVE

This meta-analysis aimed to evaluate the diagnostic capability of machine learning (ML) models in predicting stone-free status following percutaneous nephrolithotomy (PCNL).

METHODS

A comprehensive literature search was conducted across MEDLINE, Embase, Scopus, Cochrane, Google Scholar and supplementary databases was undertaken until June 2023. Inclusion criteria were English publications assessing the sensitivity and specificity of ML in predicting post PCNL stone-free status. Studies on non-human subjects or with incomplete data sets were excluded. Quality assessment utilized the Cochrane Risk of Bias Tool. Pooled sensitivity, specificity, and other diagnostic metrics were calculated using Meta-Disc 1.4 software.

RESULTS

Of the 65 initial articles, 5 met the inclusion criteria, representing a total of 1,773 participants. The accuracy of ML models ranged from 44% to 94.8%. The pooled sensitivity and specificity were 0.60 (95% CI [0.57, 0.63]) and 0.87 (95% CI [0.84, 0.89]), respectively. The pooled positive likelihood ratio was 4.69 (95% CI [3.82, 5.77]) and the negative likelihood ratio was 0.45 (95% CI [0.41, 0.48]). The diagnostic odds ratio was 10.93 (95% CI [8.35, 14.33]). The area under the curve (AUC) stood at 0.9372, signifying an excellent diagnostic performance.

CONCLUSION

Machine learning models demonstrate significant potential in accurately predicting stone-free status post-PCNL. However, the small number of included studies, retrospective designs, and heterogeneity in ML approaches limit generalizability. Standardized definitions, larger multicenter datasets, and prospective validation are required before routine clinical adoption.

Human ; Male ; Female ; Meta-analysis ; Artificial Intelligence ; Machine Learning ; Nephrolithotomy, Percutaneous

OBJECTIVE: Specimen retrieval bags were used to remove cysts and masses in minimally invasiveurologic surgeries for more than 3 decades. This study aims to describe the steps in making a home-made specimen retrieval bag named JuRoLap and its safety and resiliency. MATERIALS AND METHODS: The bag’s name was taken from the initials of the institution combined withthe department's short-name (uro) and laparoscopy (Lap). The bag is composed of a non-toxicpolyvinyl chloride (PVC) urine bag custom fitted according to the expected specimen size. The sideswere sealed using an impulse sealer leaving one side open. The bag ways rolled and introducedintracorporeally via the 12mm port. It was opened followed by specimen placement using standardlaparoscopic instruments. Purse-string suture at the one-side opening was tightened and extractedthrough the umbilical port extending the incision as necessary. RESULTS: JuRoLap was used in 33 cases removing various organs such as adrenals, kidney, ureter,bladder and prostate. It was easily prepared, safe, resilient and economical costing approximatelyUSD 0.68. It was essential to routinely check its durability by doing a leak test prior to sterilization.Proper rolling, transparent plastic component of the bag and the use of two laparoscopic graspersprovided ease in bag deployment and specimen entrapment. It was also observed that smaller incisionon extraction site as compared to the specimen size was needed due to the resiliency of the bag.Despite the required learning curve in organ entrapment and extraction, there were no complicationsand specimen leakage noted. CONCLUSION JuRoLap specimen retrieval bag is organ size specific, safe, resilient and low cost specimenretrieval bag innovation.
Laparoscopy