Related Experiment Video
Updated: Apr 28, 2026
05:31
Non-invasive Assessment of Dorsiflexor Muscle Function in Mice
Published on: January 17, 2019
12.9K
A computational model that predicts reverse growth in response to mechanical unloading.
L C Lee1, M Genet, G Acevedo-Bolton
1Department of Surgery, School of Medicine, University of California at San Francisco, San Francisco, CA, 94143, USA, likchuan@gmail.com.
Biomechanics and Modeling in Mechanobiology
|June 4, 2014
Summary
This study introduces a new reversible growth model for heart ventricles, capable of simulating both adverse ventricular growth and favorable reverse remodeling. The model accurately predicts key pressure-volume relationship features observed in heart disease progression and recovery.
Area of Science:
- Cardiovascular Mechanics
- Computational Biology
- Biomedical Engineering
Background:
- Ventricular growth is a key factor in heart disease progression.
- Reverse ventricular remodeling is a positive response to treatment.
- Existing models primarily focus on ventricular growth, not its reversal.
Purpose of the Study:
- To develop a reversible growth model for simulating both ventricular growth and reverse remodeling.
- To provide a theoretical framework for understanding changes in ventricular size and function.
Main Methods:
- Developed a reversible growth model based on volumetric strain and myofiber stretch.
- Constructed semi-analytical solutions using a cylindrical tube model.
- Generated numerical solutions using ellipsoidal and human left ventricular models.
Main Results:
- The model successfully predicts end-diastolic pressure-volume relationship features during growth and reverse growth.
- Residual stress fields in the cylindrical model align with those in other non-identical models.
- Demonstrated the model's capability to simulate complex ventricular remodeling.
Conclusions:
- The proposed reversible growth model accurately captures ventricular growth and reverse remodeling dynamics.
- This model offers a valuable tool for studying heart disease progression and therapeutic interventions.
- The findings contribute to a deeper understanding of cardiac mechanics and remodeling.
