Development and Evaluation of a Reusable Self-Healing Ultrasound Phantom for Vascular Access

Read full text
Authors: Carlo Saija, Jamie Dyer, Lisa W. M. Leung, Sachin Sabu, Iklef Bechar, Giulio Cerruti, Jonas Smits, Nicole Salgado Fernandez, Flavie Przybylski, Camille Benoist, Calum Byrne, Gregory Gibson
+7 more Antonia Pontiki, Steven Edwin Williams, Jonathan M. Behar, R. James Housden, Eric Séjor, Kawal Rhode, Pierre Berthet-Rayne
Cited by: 0
References: 39

Abstract

Ultrasound-guided femoral vascular access (UFVA) is a crucial step in cardiovascular intervention, yet training models remain costly, anatomically limited, or insufficiently durable. This research aimed to develop and evaluate a reusable, self-healing vascularised leg phantom in collaboration with clinicians. This bifurcating vascular model was cast in Plastisol using a customisable silicone mould design. The material exhibited a Shore OO hardness of 18.0 ± 2.2, a speed of sound of 1454 ± 15 m/s, an acoustic attenuation of 1.66 ± 0.02 × 106 kg/m2s, and healed 18G needle lesions within 3 h. Training capabilities were evaluated in a workshop involving 18 medical students: FVA times improved by more than 60% after 5 min of free practice. Qualitative feedback was collected from 31 medical educators via a seven-question Likert survey, with most reporting they would adopt the phantom for teaching. Phantoms cost £7.87 for materials, yet educators valued the models at £100–£500, underscoring its perceived utility. Compared to commercial alternatives, this in-house production approach reduced costs by 10–60 times, achieving comparable durability and anatomical fidelity. This study establishes a scalable, ultra-low-cost method for producing anatomically realistic, self-healing vascular phantoms, validated for effective skill acquisition in both educational and research settings.

Fields of Study & Subjects

Anatomy and Medical Technology Simulation-Based Education in Healthcare Surgical Simulation and Training

Publication details

Journal / source
Applied Sciences
Volume
16
Issue
2
Pages
933–933
Publication date
16 January 2026
Language
EN