Application of specific macular morphological characteristics as biomarker for early prediction of age-related macular degeneration

By dividing the macula into 9 zones and performing potential profile analysis, specific macular morphological characteristics can be identified, solving the problem of unstable optical coherence tomography (OCT) data and enabling early prediction and risk stratification of age-related macular degeneration.

CN120977541APending Publication Date: 2025-11-18ZHONGSHAN OPHTHALMIC CENT SUN YAT SEN UNIV
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Patent Information

Application Number
CN202511058170.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-30
Publication Date
2025-11-18

AI Technical Summary

Technical Problem

In existing technologies, optical coherence tomography (OCT) data is susceptible to segmentation errors and physiological variability in the early prediction of age-related macular degeneration, and is not feasible for long-term monitoring in public health practice. The predictive value of macular morphological features has not been fully studied.

Method used

The macula is divided into the central zone, inner ring, and outer ring, and further subdivided into four directions: superior, inferior, nasotemporal, and superior. Specific macular morphological features are identified through potential profile analysis, and high-risk groups are identified using deviation values, thereby promoting risk stratification and early intervention.

Benefits of technology

This approach enables early prediction based on specific macular morphological characteristics, improving the diagnostic accuracy and feasibility of risk stratification for age-related macular degeneration and promoting early intervention measures.

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Abstract

The invention discloses application of specific macular morphological characteristics as a biomarker for early prediction of age-related macular degeneration. The specific macular morphological characteristics are as follows: under non-mydriasis natural light, the macular is divided into a central area, an inner ring and an outer ring, the inner ring and the outer ring are further divided into four directions of upper and lower nasal temple, and the specific macular morphological characteristics are shown on the upper parts of the thin inner ring and the outer ring, the thick central area and other outer ring parts. The invention reveals that specific macular morphological characteristics can be used as a biomarker for early prediction of age-related macular degeneration through a potential profile analysis method for the first time. According to comparison with a population macular thickness reference value, the high-risk population of senile macular degeneration is identified through the deviation value, and risk stratification and early intervention are promoted.
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