Robotic spinal angiography: A single-center experience.

Robotic-assisted procedures dural arteriovenous fistula spinal angiography

Journal

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
ISSN: 2385-2011
Titre abrégé: Interv Neuroradiol
Pays: United States
ID NLM: 9602695

Informations de publication

Date de publication:
08 Aug 2024
Historique:
medline: 8 8 2024
pubmed: 8 8 2024
entrez: 8 8 2024
Statut: aheadofprint

Résumé

Robotic neurointervention enhances procedural precision, reduces radiation risk, and improves care access. Originally for interventional cardiology, the CorPath GRX platform has been used in neurointerventions. Recent studies highlight robotic cerebral angiography benefits, but information on spinal angiography is limited. While a new generation of robotic solutions is on the horizon, this series evaluates our experience with the CorPath GRX in spinal angiographic procedures, addressing a key gap in neurointerventional research. In this single-center retrospective case series, we analyzed 11 patients who underwent robotic-assisted diagnostic procedures with the CorPath GRX system from February 2022 to March 2023 at our institution. A descriptive synthesis was performed on the demographic, baseline, surgical, and postoperative data collected. The average age of the 11 patients was 54 ± 20.34 years, with six (54.55%) female. The mean body mass index was 29.58 ± 7.86, and 7 (63.64%) were non-smokers. Of the 11 procedures using the CorPath GRX system, four (36.36%) were partially converted to manual technique. General anesthesia was used in nine cases (81.82%), and right-side femoral access in ten (90.91%) patients. Mean fluoroscopy time was 24.81 ± 10.19 min, contrast dose 174.09 ± 57.31 mL, dose area product 472.23 ± 437.57 Gy·cm², and air kerma 2438.84 ± 2107.06 mGy. No robot-related complications and minimal procedure-related complications were reported. The CorPath GRX system, a robotic-assisted platform, has proven reliable and safe in spinal angiography, evidenced by its enhanced procedural accuracy and reduced radiation exposure for operators.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Robotic neurointervention enhances procedural precision, reduces radiation risk, and improves care access. Originally for interventional cardiology, the CorPath GRX platform has been used in neurointerventions. Recent studies highlight robotic cerebral angiography benefits, but information on spinal angiography is limited. While a new generation of robotic solutions is on the horizon, this series evaluates our experience with the CorPath GRX in spinal angiographic procedures, addressing a key gap in neurointerventional research.
METHODS METHODS
In this single-center retrospective case series, we analyzed 11 patients who underwent robotic-assisted diagnostic procedures with the CorPath GRX system from February 2022 to March 2023 at our institution. A descriptive synthesis was performed on the demographic, baseline, surgical, and postoperative data collected.
RESULTS RESULTS
The average age of the 11 patients was 54 ± 20.34 years, with six (54.55%) female. The mean body mass index was 29.58 ± 7.86, and 7 (63.64%) were non-smokers. Of the 11 procedures using the CorPath GRX system, four (36.36%) were partially converted to manual technique. General anesthesia was used in nine cases (81.82%), and right-side femoral access in ten (90.91%) patients. Mean fluoroscopy time was 24.81 ± 10.19 min, contrast dose 174.09 ± 57.31 mL, dose area product 472.23 ± 437.57 Gy·cm², and air kerma 2438.84 ± 2107.06 mGy. No robot-related complications and minimal procedure-related complications were reported.
CONCLUSION CONCLUSIONS
The CorPath GRX system, a robotic-assisted platform, has proven reliable and safe in spinal angiography, evidenced by its enhanced procedural accuracy and reduced radiation exposure for operators.

Identifiants

pubmed: 39113603
doi: 10.1177/15910199241272515
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15910199241272515

Déclaration de conflit d'intérêts

Authors’ contributionsAll authors contributed equally to this work. Conceptualization: VMS; methodology: OS and GS; formal analysis: MD and IMM; resources: OS, GS, GP, and IMM; funding acquisition: JKB and VMS; project administration: JKB, VMS, and BJ; supervision: VMS, BJ, and BP; Writing—original draft: OS, GS, and IMM; Writing—review and editing: BJ, BP, JKB, and VMS. Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Oleg Shekhtman (O)

Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Georgios S Sioutas (GS)

Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Mert Marcel Dagli (MM)

Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Irina-Mihaela Matache (IM)

Department of Physiology, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.

Bryan A Pukenas (BA)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Brian T Jankowitz (BT)

Hackensack Meridian Neuroscience Institute at JFK University Medical Center, Edison, New Jersey, USA.

Jan-Karl Burkhardt (JK)

Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Visish M Srinivasan (VM)

Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Classifications MeSH