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机器人肝脏实质离断的铅笔清洁技术:超越微骨折-凝血法向系统化迈进的一步。

Pencil cleaning technique for robotic liver parenchymal transection: a step further to systematization beyond the microfracture-coagulation method.

作者信息

Navinés-López Jordi, Aranda Fernando Pardo, Pérez Manel Cremades, Pinedo Alba Zárate, Farrarons Sara Sentí, Guerrero Victoria Lucas, Álvarez Francisco Espin, Andorrà Esteban Cugat

机构信息

Autonomous University of Barcelona, Hospital Universitari Germans Trias i Pujol de Badalona, Barcelona, Spain.

出版信息

J Robot Surg. 2025 Jul 17;19(1):399. doi: 10.1007/s11701-025-02480-5.

Abstract

Robotic liver resections based on Laennec's capsule pedicular driven dissection is a challenging surgical procedure, because of the intrinsic relationship between the liver parenchyma and the main intrahepatic vessels. The absence of anatomical landmarks and the frailty of the fine vascular structures requires broad experience, anatomical knowledge and refined technical skills to successfully perform such a procedure. As robotic platforms do no offer the standard laparoscopic advanced tools for liver resection, real robotic approach has been proposed as a default technique for the liver parenchymal transection, precise robotic anatomical and parenchymal-sparing liver resection, and pedicle driven dissection, like the microfracture-coagulation method. A more specific refinement of the real robotic approach, similar to the pencil cleaning process, useful in very careful deep dissections, is defined towards the standardization of the real robotic approach in advanced liver surgery. The rationale of the method, its indications and tips and tricks are described in detail.

摘要

基于拉埃内克囊蒂驱动解剖的机器人肝脏切除术是一项具有挑战性的外科手术,这是由于肝实质与肝内主要血管之间的内在关系。缺乏解剖标志以及精细血管结构的脆弱性需要丰富的经验、解剖学知识和精湛的技术技能才能成功实施此类手术。由于机器人平台没有提供用于肝脏切除的标准腹腔镜高级工具,因此真正的机器人方法已被提议作为肝实质横断、精确的机器人解剖和保留实质的肝脏切除以及蒂驱动解剖(如微骨折-凝固法)的默认技术。对真正的机器人方法进行了更具体的改进,类似于铅笔清洁过程,有助于非常精细的深部解剖,旨在使先进肝脏手术中的真正机器人方法标准化。详细描述了该方法的原理、适应证以及技巧。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2730/12270959/3bd5a980290e/11701_2025_2480_Fig1_HTML.jpg

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