The Use of a Novel Perfusion-Based Human Cadaveric Model for Simulation of Dural Venous Sinus Injury and Repair.

Complication Cranial neurosurgery Dural venous sinus injury Sinus repair

Journal

Operative neurosurgery (Hagerstown, Md.)
ISSN: 2332-4260
Titre abrégé: Oper Neurosurg (Hagerstown)
Pays: United States
ID NLM: 101635417

Informations de publication

Date de publication:
01 09 2020
Historique:
received: 19 05 2019
accepted: 01 12 2019
pubmed: 22 1 2020
medline: 28 5 2021
entrez: 22 1 2020
Statut: ppublish

Résumé

Dural sinus injuries are potentially serious complications associated with acute blood loss. It is imperative that neurosurgery trainees are able to recognize and manage this challenging scenario. To assess the feasibility of a novel perfusion-based cadaveric simulation model to provide the fundamentals of dural sinus repair to neurosurgical trainees. A total of 10 perfusion-based human cadaveric models underwent superior sagittal sinus (SSS) laceration. Neurosurgery residents were instructed to achieve hemostasis by any method in the first trial and then repeated the trial after watching the instructional dural flap technique video. Trials were timed until hemostasis and control of the region of injury was achieved. Pre- and post-trial questionnaires were administered to assess trainee confidence levels. The high-flow extravasation of the perfusion-based cadaveric model mimicked similar conditions and challenges encountered during acute SSS injury. Mean ± standard deviation time to hemostasis was 341.3 ± 65 s in the first trial and 196.9 ± 41.8 s in the second trial (P < .0001). Mean trainee improvement time was 144.4 s (42.3%). Of the least-experienced trainees with longest repair times in the initial trial, a mean improvement time of 188.3 s (44.8%) was recorded. All participants reported increased confidence on post-trial questionnaires following the simulation (median pretrial confidence of 2 vs post-trial confidence of 4, P = .002). A perfusion-based human cadaveric model accurately simulates acute dural venous sinus injury, affording neurosurgical trainees the opportunity to hone management skills in a simulated and realistic environment.

Sections du résumé

BACKGROUND
Dural sinus injuries are potentially serious complications associated with acute blood loss. It is imperative that neurosurgery trainees are able to recognize and manage this challenging scenario.
OBJECTIVE
To assess the feasibility of a novel perfusion-based cadaveric simulation model to provide the fundamentals of dural sinus repair to neurosurgical trainees.
METHODS
A total of 10 perfusion-based human cadaveric models underwent superior sagittal sinus (SSS) laceration. Neurosurgery residents were instructed to achieve hemostasis by any method in the first trial and then repeated the trial after watching the instructional dural flap technique video. Trials were timed until hemostasis and control of the region of injury was achieved. Pre- and post-trial questionnaires were administered to assess trainee confidence levels.
RESULTS
The high-flow extravasation of the perfusion-based cadaveric model mimicked similar conditions and challenges encountered during acute SSS injury. Mean ± standard deviation time to hemostasis was 341.3 ± 65 s in the first trial and 196.9 ± 41.8 s in the second trial (P < .0001). Mean trainee improvement time was 144.4 s (42.3%). Of the least-experienced trainees with longest repair times in the initial trial, a mean improvement time of 188.3 s (44.8%) was recorded. All participants reported increased confidence on post-trial questionnaires following the simulation (median pretrial confidence of 2 vs post-trial confidence of 4, P = .002).
CONCLUSION
A perfusion-based human cadaveric model accurately simulates acute dural venous sinus injury, affording neurosurgical trainees the opportunity to hone management skills in a simulated and realistic environment.

Identifiants

pubmed: 31961930
pii: 5713394
doi: 10.1093/ons/opz424
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

E269-E274

Informations de copyright

Copyright © 2020 by the Congress of Neurological Surgeons.

Auteurs

Ben A Strickland (BA)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

Kristine Ravina (K)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

Alexandra Kammen (A)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

Stephanie Chang (S)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

Martin Rutkowski (M)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

Daniel A Donoho (DA)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

Mike Minneti (M)

Department of General Surgery, University of Southern California, Los Angeles, California.

Anna Jackanich (A)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

Joshua Bakhsheshian (J)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

Gabriel Zada (G)

Department of Neurosurgery, The Keck School of Medicine of the University of Southern California, Los Angeles, California.

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