Development and face validation of ultrasound-guided renal biopsy virtual trainer
[摘要] 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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[效力级别] [学科分类] 肠胃与肝脏病学
[关键词] biomedical ultrasonics;public domain software;paediatrics;computer based training;diseases;patient treatment;medical computing;surgery;biomedical education;kidney;needles;kidney failure;renal pathologies;competent biopsy technique;high yield biopsy samples;virtual simulator;procedural skill competence;US-guided renal biopsy;low-cost hardware components;open source software libraries;face validation;US images;needle visualisation;US-guided needle biopsy;clinical experts;clinical validation study;ultrasound-guided renal biopsy virtual trainer;chronic kidney disease;adult-paediatric nephrologists;interventional-diagnostic radiologists;hand-eye coordination;Web-based application;automated skill assessment;tracking modules;time 3.0 year to 23.0 year [时效性]
