Robotic versus laparoscopic approaches to neonatal annular pancreas: a comparative analysis of surgical outcomes and innovation trade-offs

机器人手术与腹腔镜手术治疗新生儿环状胰腺疾病:手术结果及创新权衡的比较分析

阅读:1

Abstract

OBJECTIVE: To evaluate the safety and to efficacy of robotic-assisted duodenoduodenostomy (RAD) and laparoscopic-assisted duodenoduodenostomy (LAD) for neonatal annular pancreas and analyze its associated learning curve. METHODS: A retrospective analysis of 59 neonates undergoing minimally invasive DS (2019-2024) was performed. Patients were stratified into robotic (RAD, n = 25) and laparoscopic (LAD, n = 34) cohorts. Perioperative outcomes (operative time, anastomosis time, blood loss, drainage duration, complications) were compared. Learning curves for console docking and intracorporeal manipulation were assessed using cumulative sum (CUSUM) analysis. RESULTS: RAD demonstrated significantly shorter anastomosis time (35.6 ± 2.4 min vs. 47.0 ± 4.1 min, P < 0.05), reduced blood loss (median 4.0 ml vs. 6.0 ml, P < 0.05), and earlier drain removal (median 4.0 vs. 5.0 days, P < 0.05) compared to LAD. operative time was longer for RAD (179.3 ± 21.1 min vs. 156.9 ± 23.1 min, P < 0.05), attributed to docking time (22.2 ± 5.9 min) and the learning curve. Complication rates were comparable (16.0% vs. 26.5%, P = 0.537), with no anastomotic leaks, strictures or reoperations in either group. CUSUM analysis identified proficiency thresholds: docking time plateaued at case 13, and intracorporeal manipulation stabilized after 10 cases. Preliminary analysis within the first 20 cases suggests a 20-case threshold may be critical procedural mastery. CONCLUSION: RAD is a safe and effective approach for neonatal annular pancreas, demonstrating superior precision to laparoscopy. While requiring a longer initial operative time, RAD provides significant advantages in anastomotic efficiency and hemostasis once the learning curve is overcome.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。