Simulation-Based Training May Improve Resident Skill in Ultrasound-Guided Biopsy

AJR Am J Roentgenol. 2016 Dec;207(6):1329-1333. doi: 10.2214/AJR.16.16161. Epub 2016 Sep 9.

Abstract

Objective: The purpose of this study was to determine whether simulation-based training can improve resident performance in ultrasound-guided biopsy.

Subjects and methods: Forty radiology residents from a single academic institution enrolled in the study. Each resident performed an initial biopsy on an abdominal imaging phantom using direct ultrasound guidance. Twenty of the residents underwent a 30-minute training session with the phantom device, and 20 residents received no additional training. The residents performed a repeat biopsy of the same lesion and were graded on overall procedure time, number of skin surface punctures, number of gross needle adjustments, and subjective performance as determined by a blinded grader.

Results: Residents who participated in the training had a statistically significant 92.3-second reduction in procedure time (68% improvement, p = 0.01), 1.1 reduction in number of skin punctures per biopsy (50% improvement, p = 0.05), 2.5 reduction in number of needle adjustments (66% improvement, p = 0.04), and an increase of 0.85 points in score on a 5-point Likert grading scale (23% improvement, p < 0.01). Residents who did not receive any additional training did not improve in any performance metric.

Conclusion: Simulation-based training improves overall procedure time, number of skin punctures and needle adjustments, and subjective performance.

Keywords: biopsy; education; simulation; training; ultrasound.

MeSH terms

  • Clinical Competence / statistics & numerical data*
  • Computer-Assisted Instruction / methods*
  • Computer-Assisted Instruction / statistics & numerical data
  • Educational Measurement
  • Endoscopic Ultrasound-Guided Fine Needle Aspiration / instrumentation
  • Endoscopic Ultrasound-Guided Fine Needle Aspiration / methods*
  • Equipment Design
  • Humans
  • Internship and Residency / methods*
  • Models, Anatomic
  • Ohio
  • Patient Simulation*
  • Phantoms, Imaging*
  • Teaching
  • User-Computer Interface