Development and face validation of ultrasound-guided renal biopsy virtual trainer
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 vi...
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doaj-3fcd60179b6d45b4849115947559b00d2021-04-02T11:39:25ZengWileyHealthcare Technology Letters2053-37132019-10-0110.1049/htl.2019.0081HTL.2019.0081Development and face validation of ultrasound-guided renal biopsy virtual trainerAndinet Enquobahrie0Sam Horvath1Sreekanth Arikatla2Avi Rosenberg3Kevin Cleary4Karun Sharma5Kitware IncKitware IncKitware IncSchool of Medicine, Johns Hopkins UniversitySheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health SystemSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health SystemThe 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.https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0081biomedical ultrasonicspublic domain softwarepaediatricscomputer based trainingdiseasespatient treatmentmedical computingsurgerybiomedical educationkidneyneedleskidney failurerenal pathologiescompetent biopsy techniquehigh yield biopsy samplesvirtual simulatorprocedural skill competenceus-guided renal biopsylow-cost hardware componentsopen source software librariesface validationus imagesneedle visualisationus-guided needle biopsyclinical expertsclinical validation studyultrasound-guided renal biopsy virtual trainerchronic kidney diseaseadult-paediatric nephrologistsinterventional-diagnostic radiologistshand-eye coordinationweb-based applicationautomated skill assessmenttracking modulestime 3.0 year to 23.0 year |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andinet Enquobahrie Sam Horvath Sreekanth Arikatla Avi Rosenberg Kevin Cleary Karun Sharma |
spellingShingle |
Andinet Enquobahrie Sam Horvath Sreekanth Arikatla Avi Rosenberg Kevin Cleary Karun Sharma Development and face validation of ultrasound-guided renal biopsy virtual trainer Healthcare Technology Letters 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 |
author_facet |
Andinet Enquobahrie Sam Horvath Sreekanth Arikatla Avi Rosenberg Kevin Cleary Karun Sharma |
author_sort |
Andinet Enquobahrie |
title |
Development and face validation of ultrasound-guided renal biopsy virtual trainer |
title_short |
Development and face validation of ultrasound-guided renal biopsy virtual trainer |
title_full |
Development and face validation of ultrasound-guided renal biopsy virtual trainer |
title_fullStr |
Development and face validation of ultrasound-guided renal biopsy virtual trainer |
title_full_unstemmed |
Development and face validation of ultrasound-guided renal biopsy virtual trainer |
title_sort |
development and face validation of ultrasound-guided renal biopsy virtual trainer |
publisher |
Wiley |
series |
Healthcare Technology Letters |
issn |
2053-3713 |
publishDate |
2019-10-01 |
description |
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. |
topic |
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 |
url |
https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0081 |
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