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Updated: Jun 21, 2026

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A Minimally Invasive Model of Aortic Stenosis in Swine
Published on: October 20, 2023
Aortic Morphologic Changes During Lethal Hemorrhage Characterized by Intravascular Ultrasound
Michael T Olson1, Maria Navarro1, Yun Beom Lee1
1Department of Vascular Surgery, Brooke Army Medical Center, Texas.
The Journal of Surgical Research
|June 19, 2026
Summary
Intravascular ultrasound (IVUS) reliably detects aortic collapse during hemorrhage, showing a direct link between blood pressure and vascular changes. These findings are crucial for developing better simulation models for battlefield injuries.
Area of Science:
- Medical Imaging
- Surgical Research
- Trauma Medicine
Background:
- Noncompressible torso hemorrhage is a leading cause of potentially survivable battlefield death.
- Far-forward environments lack advanced imaging for rapid aortic injury localization.
- Intravascular ultrasound (IVUS) shows promise for identifying arterial injury and guiding hemorrhage control.
Purpose of the Study:
- To assess the utility of IVUS in quantifying aortic changes during induced hemorrhage.
- To establish physiologic parameters for IVUS-guided hemorrhage control.
- To inform the development of realistic hemorrhage simulation models.
Main Methods:
- Twenty swine underwent supraceliac aortic arteriotomy to induce lethal hemorrhage.
- IVUS was used pre- and post-injury to measure aortic diameter and cross-sectional area (CSA).
- Continuous hemodynamic data, including mean arterial pressure (MAP) and hemorrhage flow, were recorded.
Main Results:
- IVUS reliably measured aortic diameter and CSA changes during hemorrhage.
- Mean aortic diameter and CSA decreased significantly post-injury (16.4% and 28.7%, respectively).
- A strong linear association was found between MAP and aortic CSA (P < 0.001).
Conclusions:
- IVUS effectively detects aortic collapse during uncontrolled hemorrhage.
- A quantifiable, MAP-dependent relationship exists between vascular caliber and shock progression.
- Data provide parameters for hemorrhage interpretation and simulation model development.

