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

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

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)210-213
Number of pages4
JournalHealthcare Technology Letters
Issue number6
StatePublished - 2019

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management


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