Robotic Submesocolic Left Adrenalectomy: The Evolution of Delbet Approach

IF 2.3 3区医学 Q2 SURGERY

International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2025-06-17 DOI:10.1002/rcs.70080

Monica Ortenzi, Andrea Santini, Andrea Balla, Diletta Corallino, Giovanni Lezoche, Mario Guerrieri, Danila Azzolina

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引用次数: 0

Abstract

Introduction

The left adrenal gland is prone to being approached with several access points. This study presents a series of robotic submesocolic left adrenalectomies.

Materials and Methods

Intraoperative and post-operative outcomes of robotic (RB) and laparoscopic (LP) submesocolic (SM) access to the adrenal gland were compared. Subsequently, these were compared to left adrenalectomy performed using the anterior approach (AT).

Results

Operative time was statistically longer in the LP group (p < 0.001). There was no statistical difference for postoperative complications. After the propensity matching, there was a correlation between the BMI and the onset of post-operative complications (OR = 1.01). The operative time was significantly longer in the AT group both overall (p = 0.023) and within the LP procedures (p < 0.001), but not in the RB procedures (p = 0.386). Length of stay was shorter in the SM group (p = 0.024).

Conclusions

The RB SM approach to the left adrenal gland is a safe and feasible.

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机器人结肠膜下左肾上腺切除术：Delbet入路的演变

左肾上腺容易通过几个接入点进入。本研究提出了一系列的机器人结肠膜下左肾上腺切除术。材料与方法比较机器人（RB）和腹腔镜（LP）结肠膜下（SM）进入肾上腺的术中、术后结果。随后，将这些与采用前路（AT）进行的左肾上腺切除术进行比较。结果LP组手术时间更长，差异有统计学意义(p <；0.001)。两组术后并发症发生率无统计学差异。倾向匹配后，BMI与术后并发症发生率存在相关性（OR = 1.01）。AT组总的手术时间（p = 0.023）和LP组的手术时间(p <；0.001)，但在RB过程中没有（p = 0.386）。SM组患者住院时间较短（p = 0.024）。结论RB - SM入路是一种安全可行的左肾上腺入路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.