TY - JOUR
T1 - Development and face validation of ultrasound-guided renal biopsy virtual trainer
AU - Enquobahrie, Andinet
AU - Horvath, Sam
AU - Arikatla, Sreekanth
AU - Rosenberg, Avi
AU - Cleary, Kevin
AU - Sharma, Karun
N1 - Funding Information:
Research reported in this publication was supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institute of Health under award numbers R43DK115332 and R44DK115332. The content is solely the responsibility of the authors and does not necessarily represent the official view of the National Institute of Health.
Funding Information:
5. Acknowledgments: Research reported in this publication was supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institute of Health under award
Publisher Copyright:
© 2019 Institution of Engineering and Technology. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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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U2 - 10.1049/htl.2019.0081
DO - 10.1049/htl.2019.0081
M3 - Article
C2 - 32038859
AN - SCOPUS:85077511493
SN - 2053-3713
VL - 6
SP - 210
EP - 213
JO - Healthcare Technology Letters
JF - Healthcare Technology Letters
IS - 6
ER -