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Robotic Diagnostic Cerebral Angiography: A Multicenter Experience of 113 Patients.
Beaman, Charles; Gautam, Ayushi; Peterson, Catherine; Kaneko, Naoki; Ponce, Luciano; Saber, Hamidreza; Khatibi, Kasra; Morales, Jose; Kimball, David; Lipovac, Jacob Ridge; Narsinh, Kazim H; Baker, Amanda; Caton, M Travis; Smith, Eric R; Nour, May; Szeder, Viktor; Jahan, Reza; Colby, Geoffrey P; Cord, Branden J; Cooke, Daniel L; Tateshima, Satoshi; Duckwiler, Gary; Waldau, Ben.
Afiliação
  • Beaman C; University of California Stroke Consortium Robotics Workgroup, California, California, USA.
  • Gautam A; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Peterson C; University of California Stroke Consortium Robotics Workgroup, California, California, USA.
  • Kaneko N; Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
  • Ponce L; University of California Stroke Consortium Robotics Workgroup, California, California, USA.
  • Saber H; Neurosurgery, University of California Davis, Sacramento, CA, USA.
  • Khatibi K; University of California Stroke Consortium Robotics Workgroup, California, California, USA.
  • Morales J; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Kimball D; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Lipovac JR; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Narsinh KH; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Baker A; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Caton MT; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Smith ER; Neurosurgery, University of California Davis, Sacramento, CA, USA.
  • Nour M; University of California Stroke Consortium Robotics Workgroup, California, California, USA.
  • Szeder V; Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
  • Jahan R; Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
  • Colby GP; Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
  • Cord BJ; Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
  • Cooke DL; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Tateshima S; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Duckwiler G; Radiology, University of California Los Angeles, Los Angeles, California, USA.
  • Waldau B; University of California Stroke Consortium Robotics Workgroup, California, California, USA.
J Neurointerv Surg ; 2023 Jul 19.
Article em En | MEDLINE | ID: mdl-37468266
BACKGROUND: Neurointerventional robotic systems have potential to reduce occupational radiation, improve procedural precision, and allow for future remote teleoperation. A limited number of single institution case reports and series have been published outlining the safety and feasibility of robot-assisted diagnostic cerebral angiography. METHODS: This is a multicenter, retrospective case series of patients undergoing diagnostic cerebral angiography at three separate institutions - University of California, Davis (UCD); University of California, Los Angeles (UCLA); and University of California, San Francisco (UCSF). The equipment used was the CorPath GRX Robotic System (Corindus, Waltham, MA). RESULTS: A total of 113 cases were analyzed who underwent robot-assisted diagnostic cerebral angiography from September 28, 2020 to October 27, 2022. There were no significant complications related to use of the robotic system including stroke, arterial dissection, bleeding, or pseudoaneurysm formation at the access site. Using the robotic system, 88 of 113 (77.9%) cases were completed successfully without unplanned manual conversion. The principal causes for unplanned manual conversion included challenging anatomy, technical difficulty with the bedside robotic cassette, and hubbing out of the robotic system due to limited working length. For robotic operation, average fluoroscopy time was 13.2 min (interquartile range (IQR), 9.3 to 16.8 min) and average cumulative air kerma was 975.8 mGY (IQR, 350.8 to 1073.5 mGy). CONCLUSIONS: Robotic cerebral angiography with the CorPath GRX Robotic System is safe and easily learned by novice users without much prior manual experience. However, there are technical limitations such as a short working length and an inability to support 0.035" wires which may limit its widespread adoption in clinical practice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline Idioma: En Ano de publicação: 2023 Tipo de documento: Article