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Robotics in neurointerventional surgery: a systematic review of the literature.
Crinnion, William; Jackson, Ben; Sood, Avnish; Lynch, Jeremy; Bergeles, Christos; Liu, Hongbin; Rhode, Kawal; Mendes Pereira, Vitor; Booth, Thomas C.
  • Crinnion W; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Jackson B; NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.
  • Sood A; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Lynch J; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Bergeles C; Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK.
  • Liu H; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Rhode K; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Mendes Pereira V; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Booth TC; Division of Neuroradiology, Department of Medical Imaging and Division of Neurosurgery, Department of Surgery, University Health Network - Toronto Western Hospital, Toronto, Ontario, Canada.
J Neurointerv Surg ; 14(6): 539-545, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1854390
ABSTRACT

BACKGROUND:

Robotically performed neurointerventional surgery has the potential to reduce occupational hazards to staff, perform intervention with greater precision, and could be a viable solution for teleoperated neurointerventional procedures.

OBJECTIVE:

To determine the indication, robotic systems used, efficacy, safety, and the degree of manual assistance required for robotically performed neurointervention.

METHODS:

We conducted a systematic review of the literature up to, and including, articles published on April 12, 2021. Medline, PubMed, Embase, and Cochrane register databases were searched using medical subject heading terms to identify reports of robotically performed neurointervention, including diagnostic cerebral angiography and carotid artery intervention.

RESULTS:

A total of 8 articles treating 81 patients were included. Only one case report used a robotic system for intracranial intervention, the remaining indications being cerebral angiography and carotid artery intervention. Only one study performed a comparison of robotic and manual procedures. Across all studies, the technical success rate was 96% and the clinical success rate was 100%. All cases required a degree of manual assistance. No studies had clearly defined patient selection criteria, reference standards, or index tests, preventing meaningful statistical analysis.

CONCLUSIONS:

Given the clinical success, it is plausible that robotically performed neurointerventional procedures will eventually benefit patients and reduce occupational hazards for staff; however, there is no high-level efficacy and safety evidence to support this assertion. Limitations of current robotic systems and the challenges that must be overcome to realize the potential for remote teleoperated neurointervention require further investigation.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics Type of study: Case report / Diagnostic study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Neurointerv Surg Year: 2022 Document Type: Article Affiliation country: Neurintsurg-2021-018096

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics Type of study: Case report / Diagnostic study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Neurointerv Surg Year: 2022 Document Type: Article Affiliation country: Neurintsurg-2021-018096