Literature DB >> 22842558

The da Vinci robotic surgical assisted anterior lumbar interbody fusion: technical development and case report.

William J Beutler1, Walter C Peppelman, Luciano A DiMarco.   

Abstract

STUDY
DESIGN: Technique development to use the da Vince Robotic Surgical System for anterior lumbar interbody fusion at L5-S1 is detailed. A case report is also presented.
OBJECTIVE: To evaluate and develop the da Vinci robotic assisted laparoscopic anterior lumbar stand-alone interbody fusion procedure. SUMMARY OF BACKGROUND DATA: Anterior lumbar interbody fusion is a common procedure associated with potential morbidity related to the surgical approach. The da Vinci robot provides intra-abdominal dissection and visualization advantages compared with the traditional open and laparoscopic approach.
METHODS: The surgical techniques for approach to the anterior lumbar spine using the da Vinci robot were developed and modified progressively beginning with operative models followed by placement of an interbody fusion cage in the living porcine model. Development continued to progress with placement of fusion cage in a human cadaver, completed first in the laboratory setting and then in the operating room. Finally, the first patient with fusion completed using the da Vinci robot-assisted approach is presented.
RESULTS: The anterior transperitoneal approach to the lumbar spine is accomplished with enhanced visualization and dissection capability, with maintenance of pneumoperitoneum using the da Vinci robot. Blood loss is minimal. The visualization inside the disc space and surrounding structures was considered better than current open and laparoscopic techniques.
CONCLUSION: The da Vinci robot Surgical System technique continues to develop and is now described for the transperitoneal approach to the anterior lumbar spine. LEVEL OF EVIDENCE: 4.

Entities:  

Mesh:

Year:  2013        PMID: 22842558     DOI: 10.1097/BRS.0b013e31826b3d72

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  7 in total

1.  Visual-perceptual mismatch in robotic surgery.

Authors:  Ahmad Abiri; Anna Tao; Meg LaRocca; Xingmin Guan; Syed J Askari; James W Bisley; Erik P Dutson; Warren S Grundfest
Journal:  Surg Endosc       Date:  2016-12-06       Impact factor: 4.584

Review 2.  Robotics in spinal surgery.

Authors:  Matthew S Galetta; Joseph D Leider; Srikanth N Divi; Dhruv K C Goyal; Gregory D Schroeder
Journal:  Ann Transl Med       Date:  2019-09

Review 3.  New spinal robotic technologies.

Authors:  Bowen Jiang; Tej D Azad; Ethan Cottrill; Corinna C Zygourakis; Alex M Zhu; Neil Crawford; Nicholas Theodore
Journal:  Front Med       Date:  2019-10-31       Impact factor: 4.592

Review 4.  Robotic-Assisted Spine Surgery: History, Efficacy, Cost, And Future Trends.

Authors:  Marissa D'Souza; Julian Gendreau; Austin Feng; Lily H Kim; Allen L Ho; Anand Veeravagu
Journal:  Robot Surg       Date:  2019-11-07

Review 5.  Minimally-Invasive Assisted Robotic Spine Surgery (MARSS).

Authors:  Ramiro A Pérez de la Torre; Siddharth Ramanathan; Ashley L Williams; Mick J Perez-Cruet
Journal:  Front Surg       Date:  2022-06-06

6.  Artificial Intelligence and Robotics in Spine Surgery.

Authors:  Jonathan J Rasouli; Jianning Shao; Sean Neifert; Wende N Gibbs; Ghaith Habboub; Michael P Steinmetz; Edward Benzel; Thomas E Mroz
Journal:  Global Spine J       Date:  2020-04-01

7.  Robotic Spine Surgery and Augmented Reality Systems: A State of the Art.

Authors:  Gianluca Vadalà; Sergio De Salvatore; Luca Ambrosio; Fabrizio Russo; Rocco Papalia; Vincenzo Denaro
Journal:  Neurospine       Date:  2020-03-31
  7 in total

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