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The effect of electromagnetic guidance system on early learning curve of ultrasound for novices

Overview of attention for article published in Korean Journal of Anesthesiology, January 2016
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Title
The effect of electromagnetic guidance system on early learning curve of ultrasound for novices
Published in
Korean Journal of Anesthesiology, January 2016
DOI 10.4097/kjae.2016.69.1.15
Pubmed ID
Authors

Eun Jung Kim, Jiyoung Min, Jeongyun Song, Kyungchul Song, Jang-Ho Song, Hyo Jin Byon

Abstract

Electromagnetic guidance reveals needle alignment and position relative to the image plane on an ultrasound view. This study compared the early learning curves of novices performing ultrasound-guided needle placement with (n = 10) or without electromagnetic guidance (n = 10). Participants performed 30 ultrasound-guided needle placements using an echogenic stick (0.3-cm diameter) as a target inside a phantom model; this early learning period was divided into sequential periods (P1: 1-5, P2: 6-10, P3: 11-15, P4: 16-20, P5: 21-25, P6: 26-30 attempts). Using an in-plane approach, the time required for needle placement in the EMG group was significantly shorter than that of the non-EMG group in P1, P2, P4, and P6 and the number of needle advances of the EMG group was significantly smaller than that of the non-EMG group in P1 and P2. Using an out-of-plane approaches, the time required for needle placement in the EMG group was significantly shorter than that of the non-EMG group in all periods, but the number of needle advances was similar between both groups in P1-P5. The electromagnetic guidance system may be beneficial when performing ultrasound guided peripheral nerve blocks or vascular cannulation in the early learning period, especially by inexperienced operators with reducing patient risk.

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Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 25%
Student > Ph. D. Student 2 17%
Student > Doctoral Student 2 17%
Other 1 8%
Researcher 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Medicine and Dentistry 8 67%
Nursing and Health Professions 1 8%
Engineering 1 8%
Unknown 2 17%