Literature DB >> 28812257

Robotic-assisted microvascular surgery: skill acquisition in a rat model.

Nicholas S Clarke1, Johnathan Price1, Travis Boyd1, Stefano Salizzoni2, Kenton J Zehr3, Alejandro Nieponice4,5, Pietro Bajona6,7.   

Abstract

Microsurgery is a technically demanding field with long learning curves. Robotic-assisted microsurgery has the ability to decrease these learning curves. We, therefore, sought to assess the feasibility of robotic-assisted microvascular surgery in a rat model, and whether this could be translated into a worthwhile skills acquisition exercise for residents. Twenty-eight rats underwent microvascular anastomosis. Procedures were performed by a trained microvascular surgeon with no robotic experience (n = 14), or a trained robotic surgeon with no microvascular experience (n = 14). Anesthetized rats were subjected to complete transection and end-to-end anastomosis of the abdominal aorta using 10-0 prolene. Manually (n = 6) and robotic-assisted (n = 8) procedures were performed by both surgeons. A successful procedure required a patent anastomosis and no bleeding. After approximately 35 days, angiography and histopathological studies of the anastomoses were performed. Median times for robotic-assisted anastomoses were 37.5 (34.2-42.7) min for the microsurgeon and 38.5 (32.7-52) min for robotic surgeon. In the manual group, it took 17 (13.5-23) min for microsurgeon and 44 (34.5-60) min for robotic surgeon. Within the robotic-assisted group, there was a trend toward improvement in both surgeons, but greater in the microsurgeon. Robotic-assisted microvascular anastomosis in a rat model is a feasible skill acquisition exercise. By eliminating the need for a skilled microsurgical assistant, as well as, improved microsurgical technology, the robotic system may prove to be a crucial player in future microsurgical skill training.

Entities:  

Keywords:  Microvascular surgery; Robotic microvascular simulation; Robotic-assisted surgery; Surgical education

Mesh:

Year:  2017        PMID: 28812257     DOI: 10.1007/s11701-017-0738-5

Source DB:  PubMed          Journal:  J Robot Surg        ISSN: 1863-2483


  21 in total

1.  Robotic surgery and resident training.

Authors:  D A De Ugarte; D A Etzioni; C Gracia; J B Atkinson
Journal:  Surg Endosc       Date:  2003-03-28       Impact factor: 4.584

2.  Robotic latissimus dorsi muscle harvest.

Authors:  Jesse Creed Selber
Journal:  Plast Reconstr Surg       Date:  2011-08       Impact factor: 4.730

3.  Discussion: robotic microsurgery: validating an assessment tool and plotting the learning curve.

Authors:  Steven J Kasten; Kevin C Chung
Journal:  Plast Reconstr Surg       Date:  2014-10       Impact factor: 4.730

4.  Robotic microsurgery: validating an assessment tool and plotting the learning curve.

Authors:  Taiba Alrasheed; Jun Liu; Matthew M Hanasono; Charles E Butler; Jesse C Selber
Journal:  Plast Reconstr Surg       Date:  2014-10       Impact factor: 4.730

5.  Transcatheter valve replacement: new concepts for microsurgery inside the heart.

Authors:  Ralf Brecht; Maximilian Friedrich; Paul Philipp Heinisch; Katharina Plonien; Bassil Akra; Christian Hagl; Ali Khoynezhad; Georg Lutter; René Bombien
Journal:  Innovations (Phila)       Date:  2013 Jan-Feb

6.  Robotic-assisted microsurgery for an elective microsurgical practice.

Authors:  Ahmet Gudeloglu; Jamin V Brahmbhatt; Sijo J Parekattil
Journal:  Semin Plast Surg       Date:  2014-02       Impact factor: 2.314

7.  Simulation-Based Training in Cardiac Surgery.

Authors:  Richard H Feins; Harold M Burkhart; John V Conte; Daniel N Coore; James I Fann; George L Hicks; Jonathan C Nesbitt; Paul S Ramphal; Sharon E Schiro; K Robert Shen; Amaanti Sridhar; Paul W Stewart; Jennifer D Walker; Nahush A Mokadam
Journal:  Ann Thorac Surg       Date:  2016-08-25       Impact factor: 4.330

8.  Tracking the learning curve in microsurgical skill acquisition.

Authors:  Jesse C Selber; Edward I Chang; Jun Liu; Hiroo Suami; David M Adelman; Patrick Garvey; Matthew M Hanasono; Charles E Butler
Journal:  Plast Reconstr Surg       Date:  2012-10       Impact factor: 4.730

9.  Experience With the Cardiac Surgery Simulation Curriculum: Results of the Resident and Faculty Survey.

Authors:  Nahush A Mokadam; James I Fann; George L Hicks; Jonathan C Nesbitt; Harold M Burkhart; John V Conte; Daniel N Coore; Paul S Ramphal; K Robert Shen; Jennifer D Walker; Richard H Feins
Journal:  Ann Thorac Surg       Date:  2016-08-25       Impact factor: 4.330

10.  Biventricular repair in children with complete atrioventricular septal defect and a small left ventricle.

Authors:  Eva Maria Delmo Walter; Peter Ewert; Roland Hetzer; Michael Hübler; Vladimir Alexi-Meskishvili; Peter Lange; Felix Berger
Journal:  Eur J Cardiothorac Surg       Date:  2007-11-26       Impact factor: 4.191

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  3 in total

1.  Learning curve and influencing factors of performing microsurgical anastomosis: a laboratory prospective study.

Authors:  Etienne Lefevre; Mario Ganau; Ismail Zaed; Guaracy de Macedo Machado-Filho; Antonino Scibilia; Charles-Henry Mallereau; Damien Bresson; Julien Todeschi; Helene Cebula; Francois Proust; Jean-Luc Vignes; Alain-Charles Masquelet; Sybille Facca; Philippe Livernaux; Alex Alfieri; Taise Cruz Mosso Ramos; Marcelo Magaldi; Carmen Bruno; Salvatore Chibbaro
Journal:  Neurosurg Rev       Date:  2022-09-06       Impact factor: 2.800

Review 2.  Robotic (super) microsurgery: Feasibility of a new master-slave platform in an in vivo animal model and future directions.

Authors:  Tom J M van Mulken; Rutger M Schols; Shan S Qiu; Kaj Brouwers; Lisette T Hoekstra; Darren I Booi; Raimondo Cau; Ferry Schoenmakers; Andrea M J Scharmga; Rene R W J van der Hulst
Journal:  J Surg Oncol       Date:  2018-08-16       Impact factor: 3.454

3.  Development of a microsurgery-assisted robot for high-precision thread traction and tension control, and confirmation of its applicability.

Authors:  Satoshi Hangai; Takahiro Nozaki; Tomoya Soma; Hidetaka Miyashita; Seiji Asoda; Masaki Yazawa; Kazuki Sato; Hiromasa Kawana; Kouhei Ohnishi; Eiji Kobayashi
Journal:  Int J Med Robot       Date:  2020-12-01       Impact factor: 2.547

  3 in total

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