Literature DB >> 23921708

Robotics in keyhole transcranial endoscope-assisted microsurgery: a critical review of existing systems and proposed specifications for new robotic platforms.

Hani J Marcus1, Carlo A Seneci, Christopher J Payne, Dipankar Nandi, Ara Darzi, Guang-Zhong Yang.   

Abstract

BACKGROUND: Over the past decade, advances in image guidance, endoscopy, and tube-shaft instruments have allowed for the further development of keyhole transcranial endoscope-assisted microsurgery, utilizing smaller craniotomies and minimizing exposure and manipulation of unaffected brain tissue. Although such approaches offer the possibility of shorter operating times, reduced morbidity and mortality, and improved long-term outcomes, the technical skills required to perform such surgery are inevitably greater than for traditional open surgical techniques, and they have not been widely adopted by neurosurgeons. Surgical robotics, which has the ability to improve visualization and increase dexterity, therefore has the potential to enhance surgical performance.
OBJECTIVE: To evaluate the role of surgical robots in keyhole transcranial endoscope-assisted microsurgery.
METHODS: The technical challenges faced by surgeons utilizing keyhole craniotomies were reviewed, and a thorough appraisal of presently available robotic systems was performed.
RESULTS: Surgical robotic systems have the potential to incorporate advances in augmented reality, stereoendoscopy, and jointed-wrist instruments, and therefore to significantly impact the field of keyhole neurosurgery. To date, over 30 robotic systems have been applied to neurosurgical procedures. The vast majority of these robots are best described as supervisory controlled, and are designed for stereotactic or image-guided surgery. Few telesurgical robots are suitable for keyhole neurosurgical approaches, and none are in widespread clinical use in the field.
CONCLUSION: New robotic platforms in minimally invasive neurosurgery must possess clear and unambiguous advantages over conventional approaches if they are to achieve significant clinical penetration.

Mesh:

Year:  2014        PMID: 23921708     DOI: 10.1227/NEU.0000000000000123

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  10 in total

1.  Technological innovation in neurosurgery: a quantitative study.

Authors:  Hani J Marcus; Archie Hughes-Hallett; Richard M Kwasnicki; Ara Darzi; Guang-Zhong Yang; Dipankar Nandi
Journal:  J Neurosurg       Date:  2015-02-20       Impact factor: 5.115

2.  Robotic Handle Prototypes for Endoscopic Endonasal Skull Base Surgery: Pre-clinical Randomised Controlled Trial of Performance and Ergonomics.

Authors:  Emmanouil Dimitrakakis; Holly Aylmore; Lukas Lindenroth; George Dwyer; Joshua Carmichael; Danyal Z Khan; Neil L Dorward; Hani J Marcus; Danail Stoyanov
Journal:  Ann Biomed Eng       Date:  2022-03-08       Impact factor: 3.934

3.  Effects of craniotomy clipping and interventional embolization on treatment efficacy, cognitive function and recovery of patients complicated with subarachnoid hemorrhage.

Authors:  Dezhong Zhou; Didai Wei; Weizhou Xing; Tinglong Li; Yun Huang
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

4.  Endoscopic and keyhole endoscope-assisted neurosurgical approaches: a qualitative survey on technical challenges and technological solutions.

Authors:  Hani J Marcus; Thomas P Cundy; Archie Hughes-Hallett; Guang-Zhong Yang; Ara Darzi; Dipankar Nandi
Journal:  Br J Neurosurg       Date:  2014-02-17       Impact factor: 1.596

5.  da Vinci robot-assisted keyhole neurosurgery: a cadaver study on feasibility and safety.

Authors:  Hani J Marcus; Archie Hughes-Hallett; Thomas P Cundy; Guang-Zhong Yang; Ara Darzi; Dipankar Nandi
Journal:  Neurosurg Rev       Date:  2014-12-18       Impact factor: 3.042

6.  Robot-assisted stereotactic brainstem biopsy in children: prospective cohort study.

Authors:  William Dawes; Hani J Marcus; Martin Tisdall; Kristian Aquilina
Journal:  J Robot Surg       Date:  2018-12-06

Review 7.  Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance.

Authors:  Joseph Davids; Susruta Manivannan; Ara Darzi; Stamatia Giannarou; Hutan Ashrafian; Hani J Marcus
Journal:  Neurosurg Rev       Date:  2020-09-18       Impact factor: 3.042

8.  Methodological assessment of the reduction of dissemination risk and quantification of debris dispersion during dissection with a surgical aspirator.

Authors:  Sosuke Kageyama; Atsuhiro Nakagawa; Tomohiro Kawaguchi; Kiyonobu Ohtani; Toshiki Endo; Manabu Kyan; Tetsuya Kusunoki; Yoshiteru Shimoda; Shin-Ichiro Osawa; Masayuki Kanamori; Kuniyasu Niizuma; Teiji Tominaga
Journal:  BMC Res Notes       Date:  2022-03-02

9.  Comparative effectiveness of 3-dimensional vs 2-dimensional and high-definition vs standard-definition neuroendoscopy: a preclinical randomized crossover study.

Authors:  Hani J Marcus; Archie Hughes-Hallett; Thomas P Cundy; Aimee Di Marco; Philip Pratt; Dipankar Nandi; Ara Darzi; Guang-Zhong Yang
Journal:  Neurosurgery       Date:  2014-04       Impact factor: 4.654

10.  Intraoperative CT and cone-beam CT imaging for minimally invasive evacuation of spontaneous intracerebral hemorrhage.

Authors:  Nils Hecht; Marcus Czabanka; Paul Kendlbacher; Julia-Helene Raff; Georg Bohner; Peter Vajkoczy
Journal:  Acta Neurochir (Wien)       Date:  2020-03-19       Impact factor: 2.216

  10 in total

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