Paper
13 March 2018 A learning curve analysis of ultrasound-guided in-plane and out-of-plane vascular access training with Perk Tutor
Sean Xia, Zsuzsanna Keri, Matthew S. Holden, Rebecca Hisey, Hillary Lia, Tamas Ungi, Christopher H. Mitchell, Gabor Fichtinger
Author Affiliations +
Abstract
PURPOSE: Under ultrasound guidance, procedures that have been traditionally performed using landmark approaches have become safer and more efficient. However, inexperienced trainees struggle with coordinating probe handling and needle insertion. We aimed to establish learning curves to identify the rate of acquisition of in-plane and out-of-plane vascular access skill in novice medical trainees. METHODS: Thirty-eight novice participants were randomly assigned to perform either in-plane or out-of-plane insertions. Participants underwent baseline testing, four practice insertions (with 3D visualization assistance), and final testing; performance metrics were computed for all procedures. Five expert participants performed insertions in both approaches to establish expert performance metric benchmarks. RESULTS: In-plane novices (n=19) demonstrated significant final reductions in needle path inefficiency (45.8 vs. 127.1, p<0.05), needle path length (41.1 mm vs. 58.0 mm, p<0.05), probe path length (11.6 mm vs. 43.8 mm, p<0.01), and maximal distance between needle and ultrasound plane (3.1 mm vs. 5.5 mm, p<0.05) and surpassed expert benchmarks in average and maximal rotational error. Out-of-plane novices (n=19) demonstrated significant final reductions in all performance metrics, including needle path inefficiency (54.4 vs. 1102, p<0.01), maximum distance of needle past plane (0.0 mm vs. 7.3 mm, p<0.01), and total time of needle past plane (0.0 s vs. 3.4 s, p<0.01) and surpassed expert benchmarks in maximum distance and time of needle past plane. CONCLUSION: Our learning curves quantify improvement in in-plane and out-of-plane vascular access skill with 3D visualization over multiple attempts. The training session enables more than half of novices to approach expert performance benchmarks.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sean Xia, Zsuzsanna Keri, Matthew S. Holden, Rebecca Hisey, Hillary Lia, Tamas Ungi, Christopher H. Mitchell, and Gabor Fichtinger "A learning curve analysis of ultrasound-guided in-plane and out-of-plane vascular access training with Perk Tutor", Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 1057625 (13 March 2018); https://doi.org/10.1117/12.2293789
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Cited by 2 scholarly publications.
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KEYWORDS
Ultrasonography

3D visualizations

Analytical research

3D image processing

3D modeling

Human-machine interfaces

Image-guided intervention

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