μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery.

augmented reality cancer imaging cognitive surgical system computer-assisted surgery flexible robotic endoscope laser microsurgery micro-robot surgeon-robot interface

Journal

Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350

Informations de publication

Date de publication:
2021
Historique:
received: 05 02 2021
accepted: 14 07 2021
entrez: 27 9 2021
pubmed: 28 9 2021
medline: 28 9 2021
Statut: epublish

Résumé

Laser microsurgery is the current gold standard surgical technique for the treatment of selected diseases in delicate organs such as the larynx. However, the operations require large surgical expertise and dexterity, and face significant limitations imposed by available technology, such as the requirement for direct line of sight to the surgical field, restricted access, and direct manual control of the surgical instruments. To change this status quo, the European project μRALP pioneered research towards a complete redesign of current laser microsurgery systems, focusing on the development of robotic micro-technologies to enable endoscopic operations. This has fostered awareness and interest in this field, which presents a unique set of needs, requirements and constraints, leading to research and technological developments beyond μRALP and its research consortium. This paper reviews the achievements and key contributions of such research, providing an overview of the current state of the art in robot-assisted endoscopic laser microsurgery. The primary target application considered is phonomicrosurgery, which is a representative use case involving highly challenging microsurgical techniques for the treatment of glottic diseases. The paper starts by presenting the motivations and rationale for endoscopic laser microsurgery, which leads to the introduction of robotics as an enabling technology for improved surgical field accessibility, visualization and management. Then, research goals, achievements, and current state of different technologies that can build-up to an effective robotic system for endoscopic laser microsurgery are presented. This includes research in micro-robotic laser steering, flexible robotic endoscopes, augmented imaging, assistive surgeon-robot interfaces, and cognitive surgical systems. Innovations in each of these areas are shown to provide sizable progress towards more precise, safer and higher quality endoscopic laser microsurgeries. Yet, major impact is really expected from the full integration of such individual contributions into a complete clinical surgical robotic system, as illustrated in the end of this paper with a description of preliminary cadaver trials conducted with the integrated μRALP system. Overall, the contribution of this paper lays in outlining the current state of the art and open challenges in the area of robot-assisted endoscopic laser microsurgery, which has important clinical applications even beyond laryngology.

Identifiants

pubmed: 34568434
doi: 10.3389/frobt.2021.664655
pii: 664655
pmc: PMC8455830
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

664655

Informations de copyright

Copyright © 2021 Mattos, Acemoglu, Geraldes, Laborai, Schoob, Tamadazte, Davies, Wacogne, Pieralli, Barbalata, Caldwell, Kundrat, Pardo, Grant, Mora, Barresi, Peretti, Ortiz, Rabenorosoa, Tavernier, Pazart, Fichera, Guastini, Kahrs, Rakotondrabe, Andreff, Deshpande, Gaiffe, Renevier, Moccia, Lescano, Ortmaier and Penza.

Déclaration de conflit d'intérêts

Author AS was employed by the company Yuanda Robotics GmbH. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Leonardo S Mattos (LS)

Istituto Italiano di Tecnologia, Genoa, Italy.

Alperen Acemoglu (A)

Istituto Italiano di Tecnologia, Genoa, Italy.

André Geraldes (A)

Istituto Italiano di Tecnologia, Genoa, Italy.

Andrea Laborai (A)

Department of Otorhinolaryngology, Guglielmo da Saliceto Hospital, Piacenza, Italy.

Andreas Schoob (A)

Yuanda Robotics GmbH, Hannover, Germany.

Brahim Tamadazte (B)

Institut des Systèmes Intelligents et de Robotique, Sorbonne Université, CNRS, Paris, France.

Brian Davies (B)

Imperial College London, London, United Kingdom.

Bruno Wacogne (B)

FEMTO-ST Institute, Univ. Bourgogne Franche-Comte, CNRS, Besançon, France.
Centre Hospitalier Régional Universitaire, Besançon, France.

Christian Pieralli (C)

FEMTO-ST Institute, Univ. Bourgogne Franche-Comte, CNRS, Besançon, France.

Corina Barbalata (C)

Mechanical and Industrial Engineering Department, Louisiana State University, Baton Rouge, LA, United States.

Darwin G Caldwell (DG)

Istituto Italiano di Tecnologia, Genoa, Italy.

Dennis Kundrat (D)

Imperial College London, London, United Kingdom.

Diego Pardo (D)

Istituto Italiano di Tecnologia, Genoa, Italy.

Edward Grant (E)

Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, United States.

Francesco Mora (F)

Clinica Otorinolaringoiatrica, IRCCS Policlinico San Martino, Genoa, Italy.
Dipartimento di Scienze Chirurgiche e Diagnostiche Integrate, Università Degli Studi di Genova, Genoa, Italy.

Giacinto Barresi (G)

Istituto Italiano di Tecnologia, Genoa, Italy.

Giorgio Peretti (G)

Clinica Otorinolaringoiatrica, IRCCS Policlinico San Martino, Genoa, Italy.
Dipartimento di Scienze Chirurgiche e Diagnostiche Integrate, Università Degli Studi di Genova, Genoa, Italy.

Jesùs Ortiz (J)

Istituto Italiano di Tecnologia, Genoa, Italy.

Kanty Rabenorosoa (K)

FEMTO-ST Institute, Univ. Bourgogne Franche-Comte, CNRS, Besançon, France.

Laurent Tavernier (L)

Centre Hospitalier Régional Universitaire, Besançon, France.

Lionel Pazart (L)

Centre Hospitalier Régional Universitaire, Besançon, France.

Loris Fichera (L)

Department of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA, United States.

Luca Guastini (L)

Clinica Otorinolaringoiatrica, IRCCS Policlinico San Martino, Genoa, Italy.
Dipartimento di Scienze Chirurgiche e Diagnostiche Integrate, Università Degli Studi di Genova, Genoa, Italy.

Lüder A Kahrs (LA)

Department of Mathematical and Computational Sciences, University of Toronto, Mississauga, ON, Canada.

Micky Rakotondrabe (M)

National School of Engineering in Tarbes, University of Toulouse, Tarbes, France.

Nicolas Andreff (N)

FEMTO-ST Institute, Univ. Bourgogne Franche-Comte, CNRS, Besançon, France.

Nikhil Deshpande (N)

Istituto Italiano di Tecnologia, Genoa, Italy.

Olivier Gaiffe (O)

Centre Hospitalier Régional Universitaire, Besançon, France.

Rupert Renevier (R)

FEMTO-ST Institute, Univ. Bourgogne Franche-Comte, CNRS, Besançon, France.

Sara Moccia (S)

The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Sergio Lescano (S)

FEMTO-ST Institute, Univ. Bourgogne Franche-Comte, CNRS, Besançon, France.

Tobias Ortmaier (T)

Institute of Mechatronic Systems, Leibniz Universität Hannover, Garbsen, Germany.

Veronica Penza (V)

Istituto Italiano di Tecnologia, Genoa, Italy.

Classifications MeSH