Evidence map›Paper›PMID 40208891›Full record

ArticleTranslational vision science & technology2025

An Improved Monte Carlo Method for Quantitative Analysis of Transparency Degradation Caused by Corneal Edema.

Shuaiyi Li, Yiping Liu, Bao Yang, Sulei Lv, Xiulan Zou, Liqun Tang, Licheng Zhou, Zhenyu Jiang, Zejia Liu

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Article in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Shuaiyi LiSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
Yiping LiuSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
Bao YangSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
Sulei LvSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
Xiulan ZouGeneral Hospital of Southern Theater Command of the People's Liberation Army of China, Guangzhou, China.
Liqun TangSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
Licheng ZhouSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
Zhenyu JiangSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
Zejia LiuSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To address the impact of corneal edema on transparency, we proposed an improved Monte Carlo (MC) method that uses a cost-effective and easily applicable approach to extract fibril features. This method aims to enhance computational accuracy and elucidate microscopic mechanisms of corneal transparency. Methods: Fresh ex vivo porcine corneas were immersed in deionized water to simulate various states of corneal edema. For each edema state, we carefully analyzed its transparency and fibrous conditions. The diameter and spatial distribution of corneal fibrils were measured using image recognition algorithms. An improved MC method, analyzing the multiple scattering of each incident light, was proposed to simulate the propagation of incident light in the cornea. Results: Higher edema reduces transparency. After 10 hours of hydration, corneal water content increased by 7% and transparency decreased by over 30%. Cross-sectional observations indicated that the radius increases from the original 15.1 nm to 16.8 nm, the fibril-to-base material area ratio decreases from the initial 15% to roughly 7%, and the minimum gap between fibrils expanded by 35%. The proposed MC method provides more accurate transparency estimates compared to the direct summation of field theory. Conclusions: Corneal transparency decreases as a result of multiple factors, including fibril and cornea thickening, variations in the refractive index, and changes in the fibril distribution. Translational Relevance: The MC method is cost-effective, easily applicable, and accurate in predicting the transparency of corneas with varying water contents. Moreover, this method intuitively demonstrates the scattering of light during the propagation process.

Indexed as

CorneaCorneal EdemaMonte Carlo MethodAlgorithmsAnimalsSwine

Identifiers

PMID40208891
PMCPMC11993133

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.