Assessment of Corneal Optical Densitometry and Anterior Segment Characteristics in a Healthy Upper Egyptian Cohort: A Prospective Observational Cross-Sectional Analysis - Scorecard - MDSpire
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Assessment of Corneal Optical Densitometry and Anterior Segment Characteristics in a Healthy Upper Egyptian Cohort: A Prospective Observational Cross-Sectional Analysis

  • By

  • Mohamed A. Hamid

  • Mohamed Esmail Khalil Esmail

  • Hosny A. Zein

  • December 1, 2025

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Clinical Scorecard: Assessment of Corneal Optical Densitometry and Anterior Segment Characteristics in a Healthy Upper Egyptian Cohort: A Prospective Observational Cross-Sectional Analysis

At a Glance

CategoryDetail
ConditionCorneal Optical Densitometry (COD)
Key MechanismsMeasurement of light scattering in the cornea to assess transparency and structural integrity.
Target PopulationHealthy Upper Egyptian adults aged 16 years and older.
Care SettingOphthalmology department in a university hospital.

Key Highlights

  • Study included 379 eyes from 379 healthy subjects.
  • Mean age of participants was 33 years, with a range from 16 to 73 years.
  • Corneal optical densitometry measured using Oculus Pentacam.
  • Significant associations found between COD and biometric parameters like CCT and ACD.
  • Study emphasizes the need for region-specific data on corneal health.

Guideline-Based Recommendations

Diagnosis

  • Use slit-lamp examination and corneal optical densitometry for assessing corneal health.

Management

  • Monitor COD in patients undergoing refractive surgery to optimize outcomes.

Monitoring & Follow-up

  • Regular assessment of COD in healthy populations to establish baseline values.

Risks

  • Exclusion of subjects with corneal or intraocular pathologies, diabetes, or autoimmune diseases.

Patient & Prescribing Data

Healthy adults aged 16 years and older without corneal pathologies.

Understanding COD can aid in managing refractive errors and optimizing surgical outcomes.

Clinical Best Practices

  • Conduct comprehensive ophthalmologic evaluations including COD assessment.
  • Utilize advanced imaging techniques like Scheimpflug imaging for accurate COD measurement.
  • Ensure standardized conditions during measurements to minimize variability.

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