Article: Comparison of low-cost phantoms for ultrasound-guided fine-needle aspiration biopsy training.
Journal of the American Society of Cytopathology
2023 Volume 12, Issue 4, Page(s) 275–283
Abstract: Introduction: Phantoms and simulators are widely accepted methods to gain valuable experience and confidence for inexperienced trainees prior to seeing their patient and for refining their skills. A phantom model that is durable, simple, and inexpensive ...
Abstract | Introduction: Phantoms and simulators are widely accepted methods to gain valuable experience and confidence for inexperienced trainees prior to seeing their patient and for refining their skills. A phantom model that is durable, simple, and inexpensive to produce and use would be ideal to train practitioners in ultrasound-guided fine-needle aspiration biopsy (USFNA) technique. Materials and methods: In this study, we systematically compared several low-cost phantom models including gelatin, extra firm tofu, canned cooked pork, ballistics gel, and chicken breast for their haptic properties, echogenicity, teaching utility, and overall performance based on a Likert scale (1-5; 5 = best). Nine cytopathologists and cytopathology fellows who perform FNA regularly evaluated these models and completed the survey. Results: The gelatin phantom, with a gelatin to water ratio of 1:8 by weight, was found to be the best for USFNA practice and overall performance, followed by the 1:10 gelatin phantom. Tofu and chicken breast phantoms were also good low-cost alternatives that needed only a few minutes of total preparation time. Conclusions: Low-cost, homemade phantoms can serve as excellent alternatives to commercial phantoms for practicing and teaching USFNA. |
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MeSH term(s) | Humans ; Biopsy, Fine-Needle/methods ; Gelatin ; Ultrasonography ; Image-Guided Biopsy ; Ultrasonography, Interventional |
Chemical Substances | Gelatin (9000-70-8) |
Language | English |
Publishing date | 2023-03-24 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 2213-2945 |
ISSN | 2213-2945 |
DOI | 10.1016/j.jasc.2023.03.005 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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