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A Pulsatile Fresh Frozen Human Cadaver Circulation Model for Endovascular Training: A Trial of Face Validity

Lookup NU author(s): Dr Craig Nesbitt, Dr Sam Tingle, James McCaslin, Dr Roger Searle, Sebastian Mafeld, Professor Gerard Stansby


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© 2017 Elsevier Inc. Background The authors have published their design of a pulsatile fresh frozen human cadaver circulation model (PHCM) for endovascular training the face validity of the PHCM for training endovascular practitioners was subsequently assessed. Methods Twelve endovascular clinicians performed the same 2 procedures (catheterization of the left renal artery and left subclavian artery) on PHCM and Simbionix angiomentor virtual reality simulator (SVR). They were randomized to begin on either the PHCM or SVR. A pretrial questionnaire determined participants’ endovascular experience. After training, participants rated statements relating to their experience on a numerical scale from 1 to 5, with 1 representing the strongest agreement with the statement. Results When participants were asked to compare the realism of training modalities with live patients, PHCM scored significantly higher than SVR on statements regarding “realism of vascular access” (P = 0.002), “guide-wire manipulation” (P = 0.001), and “vessel catheterization” (P = 0.004). Candidates again favored PHCM as “a valuable learning exercise” (P = 0.016) and strongly favored PHCM as a “useful training model” compared to SVR (P = 0.004). Conclusions This is the first published trial in world literature to assess the validity of a PHCM for training endovascular practitioners. The PHCM demonstrates good face validity when compared to both real patients and the SVR model and holds exciting potential.

Publication metadata

Author(s): Nesbitt C, Tingle SJ, Williams R, McCaslin J, Searle R, Mafeld S, Stansby G

Publication type: Article

Publication status: Published

Journal: Annals of Vascular Surgery

Year: 2018

Volume: 46

Pages: 345-350

Print publication date: 01/01/2018

Online publication date: 06/09/2017

Acceptance date: 20/07/2017

ISSN (print): 0890-5096

ISSN (electronic): 1615-5947

Publisher: Elsevier Inc.


DOI: 10.1016/j.avsg.2017.07.030


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