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A study for lens capsule tearing during capsulotomy by finite element simulation
Shaofeng Han1, Changyan He1, Ke Ma2
1School of Mechanical Engineering & Automation, Beihang University, 100191, Beijing, China.
Computer Methods and Programs in Biomedicine
|March 14, 2021
Summary
This study developed a finite element model to simulate lens capsule tearing during capsulotomy. The model accurately predicted tear force and identified optimal tearing conditions, improving understanding of this critical surgical parameter.
Area of Science:
- Ophthalmic surgery
- Biomechanical engineering
- Computational modeling
Background:
- Capsulotomy involves applying force to the anterior lens capsule, a critical factor influencing tear dynamics and surgical outcomes.
- Understanding the precise forces involved in capsule tearing is essential for optimizing surgical techniques and preventing complications.
Purpose of the Study:
- To investigate the tear force during capsulotomy using a computational approach.
- To analyze how different tearing conditions affect the magnitude and characteristics of the tear force.
Main Methods:
- A 3D finite element (FE) model of the human lens was created, incorporating anterior and posterior capsules, cortex, and nucleus.
- Crack propagation was modeled using a distortion energy failure criterion and a bilinear interface law.
- Simulations were validated against experimental capsulorhexis in porcine eyes using force-sensing forceps.
Main Results:
- The FE model demonstrated good agreement with experimental data, with small mean force differences (3.10 ± 2.24 mN and 2.14 ± 1.73 mN).
- Minimum mean tear force was observed at specific tear directions (θ₁ = 0°, θ₂ = 30°).
- An appropriate capsulorhexis diameter was found to reduce tear force, while tear velocity showed no significant impact.
Conclusions:
- The developed FE model is a viable tool for simulating lens capsule tearing.
- This model facilitates the theoretical study of tear mechanisms in capsulotomy.
- Findings provide insights into optimizing surgical parameters for safer and more effective capsulotomy.

