Robot-Assisted versus Trans-Umbilical Multiport Laparoscopic Ureteral Reimplantation for Pediatric Benign Distal Ureteral Stricture: Mid-Term Results at a Single Center

Journal of Clinical Medicine(2022)

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摘要
Objective: Robot-assisted laparoscopic ureteral reimplantation (RALUR) and trans-umbilical multiport laparoscopic ureteral reimplantation (TMLUR) are both minimally invasive procedures for benign distal ureteral stricture (DUS). However, TMLUR has rarely been reported in published research, thus the difference in mid-term outcome of these two procedures warrants investigation. Methods: Patients who underwent RALUR or TMLUR for pediatric DUS from April 2017 to November 2020 at our institution were retrospectively analyzed and 56 patients were included in this retrospective comparison. Demographic characteristics, perioperative data and follow-up results were collected and analyzed in RALUR and TALUR groups. Results: RALUR and TMLUR were successfully performed in children aged from 12.0 to 142.0 months, without conversion to open ureteral reimplantation. RALUR took shorter operative time than TMLUR (p = 0.005) with less blood loss (p = 0.001). Meanwhile, patients receiving RALUR encountered a greater financial burden (p < 0.001) with less cosmetic satisfaction than TMLUR. The mean mid-term follow-up time for RALUR and TMLUR was 18.29 months and 24.64 months, respectively. Mid-term follow-up data showed that DUS was relieved with improved renal function after surgery in both groups, with no significant difference. Conclusions: RALUR and TMLUR are both safe and efficient for DUS treatment and achieve comparable mid-term outcomes in children. RALUR can reduce operative time and operative blood loss benefiting from its prominent technical superiority, but may currently bring about greater financial burden, with cosmetic satisfaction remaining to be improved.
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robot-assisted laparoscopic ureteral reimplantation,trans-umbilical multiport laparoscopic ureteral reimplantation,benign distal ureteral stricture,pediatric patients
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