Development and face validation of ultrasound-guided renal biopsy virtual trainer

Andinet Enquobahrie; Sam Horvath; Sreekanth Arikatla; Avi Rosenberg; Kevin Cleary; Karun Sharma

Development and face validation of ultrasound-guided renal biopsy virtual trainer

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Author(s): Andinet Enquobahrie¹ ; Sam Horvath¹ ; Sreekanth Arikatla¹ ; Avi Rosenberg² ; Kevin Cleary³ ; Karun Sharma³
- Affiliations: 1: Medical Computing , Kitware Inc , Carrboro, NC , USA ;
  2: School of Medicine, Johns Hopkins University , Baltimore, MD , USA ;
  3: Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System , Washington, DC , USA
Source: Volume 6, Issue 6, December 2019, p. 210 – 213
DOI: 10.1049/htl.2019.0081 , Online ISSN 2053-3713

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

Received 17/09/2019, Accepted 02/10/2019, Published 26/11/2019

The overall prevalence of chronic kidney disease in the general population is ∼14% with more than 661,000 Americans having a kidney failure. Ultrasound (US)-guided renal biopsy is a critically important tool in the evaluation and management of renal pathologies. This Letter presents KBVTrainer, a virtual simulator that the authors developed to train clinicians to improve procedural skill competence in US-guided renal biopsy. The simulator was built using low-cost hardware components and open source software libraries. They conducted a face validation study with five experts who were either adult/pediatric nephrologists or interventional/diagnostic radiologists. The trainer was rated very highly (>4.4) for the usefulness of the real US images (highest at 4.8), potential usefulness of the trainer in training for needle visualization, tracking, steadiness and hand-eye coordination, and overall promise of the trainer to be useful for training US-guided needle biopsies. The lowest score of 2.4 was received for the look and feel of the US probe and needle compared to clinical practice. The force feedback received a moderate score of 3.0. The clinical experts provided abundant verbal and written subjective feedback and were highly enthusiastic about using the trainer as a valuable tool for future trainees.

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Development and face validation of ultrasound-guided renal biopsy virtual trainer

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