Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Beyond the charitable feeding system: non-traditional community-based access points to distribute healthy food in an urban-rural county in the United States.

Journal of public health policy·2026

Same author

Corrigendum to "Improvements in glycosylated hemoglobin A1c and blood pressure as measured through electronic health records across four produce prescription projects in the northeastern and Western United States" [Prevent. Med. Rep. 62 (2026) 103394].

Preventive medicine reports·2026

Same author

Improvements in glycosylated hemoglobin A1c and blood pressure as measured through electronic health records across four produce prescription projects in the northeastern and Western United States.

Preventive medicine reports·2026

Same author

Development and validation of a brief Nutrition Security Screener (NSS) for clinical and public health settings.

The American journal of clinical nutrition·2025

Same author

Chicago Neighborhood Context and Racial/Ethnic Disparities in Maternal Diabetes.

Journal of racial and ethnic health disparities·2023

Same author

Submucous Resection of the Nasal Septum.

Buffalo medical journal·2023

Same journal

Immersive Virtual Reality Simulation Design in Healthcare Education: A Scoping Review.

Simulation in healthcare : journal of the Society for Simulation in Healthcare·2026

Same journal

Development and Evaluation of a Virtual Reality Module for Emergency Front-of-Neck Access Training.

Simulation in healthcare : journal of the Society for Simulation in Healthcare·2026

Same journal

Integrating Entrustable Professional Activities in Simulation-Based Health Care Education: A Systematic Literature Review.

Simulation in healthcare : journal of the Society for Simulation in Healthcare·2026

Same journal

Technology-Assisted Training for Ultrasound-Guided Peripheral IV Access by Nurses: A Randomized Educational Study.

Simulation in healthcare : journal of the Society for Simulation in Healthcare·2026

Same journal

Beyond Technology: Lessons From a Simple Simulation.

Simulation in healthcare : journal of the Society for Simulation in Healthcare·2026

Same journal

The Many Outcomes of an Emergency Response Simulation for Simulationists.

Simulation in healthcare : journal of the Society for Simulation in Healthcare·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 6, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Analysis of Soft Tissue Materials for Simulation Development.

Julia Caldwell¹, James J Mooney

¹From Emory University, Children's Healthcare of Atlanta (J.J.M.), Atlanta, GA; and Vitality Pain of Bowling Green (J.C.), Bowling Green, KY.

Simulation in Healthcare : Journal of the Society for Simulation in Healthcare

|October 10, 2019

Summary

This summary is machine-generated.

Researchers explored casting materials like silicone, urethane, foams, and gels to create realistic soft tissue simulants for medical training. Silicone and urethane show promise for both imaging and interventions.

More Related Videos

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

Related Experiment Videos

Last Updated: Jan 6, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Author Spotlight: Advanced Techniques for Characterizing Tissue Mineralization in Bone Regeneration Research

Published on: September 27, 2024

Area of Science:

Biomedical Engineering
Materials Science
Medical Simulation

Background:

Custom medical training simulations are often cost-effective alternatives to purchased models.
Existing 3D printing materials have physical limitations for soft tissue simulation.
This study investigates materials for creating realistic soft tissue simulants.

Purpose of the Study:

To evaluate physical properties of castable materials for soft tissue simulant creation.
To assess suitability of materials for medical imaging and interventions.
To explore cost-effective simulant production.

Main Methods:

Casting various materials (foams, rubbers, urethanes, silicones, gels) into standardized forms.
Visualizing samples using computed tomography (CT) and ultrasound (US).
Measuring needle penetration force (18ga and 22ga needles).

Main Results:

Silicone rubbers visualized well with US; CT showed 100-200 Hounsfield units (HU).
Gels had low HU (-175 to 8) and were US-clear; foams (urethanes) had low HU and were US-opaque.
Needle forces ranged from 0.05-23.34 N; gels/foams were lower, with silicone overlap. Additives altered silicone properties.

Conclusions:

Silicone and urethane materials effectively mimic soft tissues for imaging and interventions.
Potential exists for producing custom, high-fidelity simulants independently.
Further research needed to optimize material combinations and techniques.