Related Experiment Video
Updated: Jan 21, 2026
04:48
Establishing a Severe Corneal Inflammation Model in Rats Based on Corneal Epithelium Curettage Combined with Corneal Sutures
Published on: November 22, 2024
792
Effect of Demographic Variables on the Regional Corneal Pachymetry
Nauman Hashmani1, Sharif Hashmani, Asif Murad
1Department of Ophthalmology and Visual Sciences, Hashmanis Hospital, Karachi, Pakistan.
Summary
Spectral-domain optical coherence tomography (SD-OCT) reveals corneal thickness varies by sector, decreasing with age but increasing with axial length. This highlights the importance of whole-corneal thickness mapping for disease detection.
Area of Science:
- Ophthalmology
- Medical Imaging
- Corneal Science
Background:
- Corneal thickness measurement is vital for diagnosing corneal diseases.
- Spectral-domain optical coherence tomography (SD-OCT) offers advanced imaging capabilities.
- Limited data exists on SD-OCT-based corneal sector analysis in Pakistan.
Purpose of the Study:
- To create a comprehensive corneal thickness map using SD-OCT.
- To investigate the relationship between corneal thickness and patient factors like age, sex, and axial length.
- To establish baseline corneal thickness data in a Pakistani population.
Main Methods:
- Utilized SD-OCT to scan the corneas of 214 healthy subjects.
- Generated a 9-mm diameter whole-corneal thickness map for each participant.
- Assessed scan reproducibility in 50 subjects with repeated measurements by two operators.
Main Results:
- Corneal thickness was thinnest inferotemporally and thickest superiorly/superonasally.
- No significant sex-based differences were found in corneal thickness, age, or axial length.
- A negative correlation was observed between age and corneal thickness in most sectors.
- A positive correlation was found between axial length and corneal thickness in central and temporal sectors.
Conclusions:
- Corneal sectors exhibit heterogeneous responses to patient characteristics.
- Whole-corneal thickness mapping may serve as a distinct clinical parameter.
- This approach can aid in the early identification of corneal disease processes.
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