Salvato in:
Dettagli Bibliografici
Autori principali: Arusi, Shani, Platkov, Max, Rosenberg, Barak, Basov, Svetlana, Ashbell, Ido, Polovin, Tom, Chocron, Yoel, Katzir, Abraham, Nisky, Ilana, Netz, Uri
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:https://arxiv.org/abs/2502.02971
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866917913633488896
author Arusi, Shani
Platkov, Max
Rosenberg, Barak
Basov, Svetlana
Ashbell, Ido
Polovin, Tom
Chocron, Yoel
Katzir, Abraham
Nisky, Ilana
Netz, Uri
author_facet Arusi, Shani
Platkov, Max
Rosenberg, Barak
Basov, Svetlana
Ashbell, Ido
Polovin, Tom
Chocron, Yoel
Katzir, Abraham
Nisky, Ilana
Netz, Uri
contents Traditional methods for closing gastrointestinal (GI) surgery incisions, like suturing and stapling, present significant challenges, including potentially life-threatening leaks. These techniques, especially in robot-assisted minimally invasive surgery (RAMIS), require advanced manual skills. While their repetitive and time-consuming nature makes them suitable candidates for automation, the automation process is complicated by the need for extensive contact with the tissue. Addressing this, we demonstrate a semi-autonomous contactless surgical procedure using our novel Robot-assisted Laser Tissue Soldering (RLTS) system on a live porcine bowel. Towards this in-vivo demonstration, we optimized soldering protocols and system parameters in ex-vivo experiments on porcine bowels and a porcine cadaver. To assess the RLTS system performance, we compared the pressure at which the anastomosis leaked between our robotic soldering and manual suturing. With the best setup, we advanced to an in-vivo Heineke Mikulicz closure on small bowel incision in live pigs and evaluated their healing for two weeks. All pigs successfully completing the procedure (N=5) survived without leaks and the histology indicated mucosal regeneration and fibrous tissue adhesion. This marks the first in-vivo semi-automated contactless incision closure, paving the way for automating GI surgery incision closure which has the potential to become an alternative to traditional methods.
format Preprint
id arxiv_https___arxiv_org_abs_2502_02971
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Bowel Incision Closure with a Semi-Automated Robot-Assisted Laser Tissue Soldering System
Arusi, Shani
Platkov, Max
Rosenberg, Barak
Basov, Svetlana
Ashbell, Ido
Polovin, Tom
Chocron, Yoel
Katzir, Abraham
Nisky, Ilana
Netz, Uri
Quantitative Methods
Traditional methods for closing gastrointestinal (GI) surgery incisions, like suturing and stapling, present significant challenges, including potentially life-threatening leaks. These techniques, especially in robot-assisted minimally invasive surgery (RAMIS), require advanced manual skills. While their repetitive and time-consuming nature makes them suitable candidates for automation, the automation process is complicated by the need for extensive contact with the tissue. Addressing this, we demonstrate a semi-autonomous contactless surgical procedure using our novel Robot-assisted Laser Tissue Soldering (RLTS) system on a live porcine bowel. Towards this in-vivo demonstration, we optimized soldering protocols and system parameters in ex-vivo experiments on porcine bowels and a porcine cadaver. To assess the RLTS system performance, we compared the pressure at which the anastomosis leaked between our robotic soldering and manual suturing. With the best setup, we advanced to an in-vivo Heineke Mikulicz closure on small bowel incision in live pigs and evaluated their healing for two weeks. All pigs successfully completing the procedure (N=5) survived without leaks and the histology indicated mucosal regeneration and fibrous tissue adhesion. This marks the first in-vivo semi-automated contactless incision closure, paving the way for automating GI surgery incision closure which has the potential to become an alternative to traditional methods.
title Bowel Incision Closure with a Semi-Automated Robot-Assisted Laser Tissue Soldering System
topic Quantitative Methods
url https://arxiv.org/abs/2502.02971