Literature DB >> 28645603

Robotic Transnasal Endoscopic Skull Base Surgery: Systematic Review of the Literature and Report of a Novel Prototype for a Hybrid System (Brescia Endoscope Assistant Robotic Holder).

Andrea Bolzoni Villaret1, Francesco Doglietto2, Andrea Carobbio1, Alberto Schreiber1, Camilla Panni3, Enrico Piantoni3, Giovanni Guida3, Marco Maria Fontanella4, Piero Nicolai1, Riccardo Cassinis3.   

Abstract

BACKGROUND: Although robotics has already been applied to several surgical fields, available systems are not designed for endoscopic skull base surgery (ESBS). New conception prototypes have been recently described for ESBS. The aim of this study was to provide a systematic literature review of robotics for ESBS and describe a novel prototype developed at the University of Brescia.
METHODS: PubMed and Scopus databases were searched using a combination of terms, including Robotics OR Robot and Surgery OR Otolaryngology OR Skull Base OR Holder. The retrieved papers were analyzed, recording the following features: interface, tools under robotic control, force feedback, safety systems, setup time, and operative time. A novel hybrid robotic system has been developed and tested in a preclinical setting at the University of Brescia, using an industrial manipulator and readily available off-the-shelf components.
RESULTS: A total of 11 robotic prototypes for ESBS were identified. Almost all prototypes present a difficult emergency management as one of the main limits. The Brescia Endoscope Assistant Robotic holder has proven the feasibility of an intuitive robotic movement, using the surgeon's head position: a 6 degree of freedom sensor was used and 2 light sources were added to glasses that were therefore recognized by a commercially available sensor.
CONCLUSIONS: Robotic system prototypes designed for ESBS and reported in the literature still present significant technical limitations. Hybrid robot assistance has a huge potential and might soon be feasible in ESBS.
Copyright © 2017 Elsevier Inc. All rights reserved.

Keywords:  Endoscopic skull base surgery; Prototype; Review; Robotics

Mesh:

Year:  2017        PMID: 28645603     DOI: 10.1016/j.wneu.2017.06.089

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  1 in total

1.  Collaborative Robotic Assistant Platform for Endonasal Surgery: Preliminary In-Vitro Trials.

Authors:  Victor F Muñoz; Isabel Garcia-Morales; Juan Carlos Fraile-Marinero; Javier Perez-Turiel; Alvaro Muñoz-Garcia; Enrique Bauzano; Irene Rivas-Blanco; Jose María Sabater-Navarro; Eusebio de la Fuente
Journal:  Sensors (Basel)       Date:  2021-03-26       Impact factor: 3.576

  1 in total

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