A new diagnostic model of primary open angle glaucoma based on FD-OCT parameters

Area of Science:

• Ophthalmology
• Medical Imaging
• Glaucoma Research

Background:

• Primary open angle glaucoma (POAG) is a leading cause of irreversible blindness.
• Early detection of POAG is crucial for timely intervention and vision preservation.
• Frequency-domain optical coherence tomography (FD-OCT) is a key imaging modality for assessing retinal nerve fiber layer (RNFL) thickness.

Purpose of the Study:

• To develop and evaluate a clinical diagnostic model for early POAG detection.
• To utilize normal probability charts derived from FD-OCT data.
• To compare the diagnostic performance of novel area partition strategies against traditional methods.

Main Methods:

• A cross-sectional study included 133 healthy subjects and 99 early POAG patients.
• Retinal nerve fiber layer (RNFL) thickness parameters were measured using RTVue-100 FD-OCT.
• Four diagnostic models were constructed based on optic nerve head (ONH) and RNFL3.45 parameters with traditional and new area partition strategies.

Main Results:

• New area partition models demonstrated superior diagnostic accuracy (AROC ONH-N: 0.990, RNFL3.45-N: 0.939) compared to traditional models (AROC ONH-T: 0.979, RNFL3.45-T: 0.881).
• No significant statistical difference was found between the AROCs of ONH-T, ONH-N, and RNFL3.45-N.
• The ONH-N model was identified as the simplest among the evaluated models.

Conclusions:

• The novel area partition models enhance diagnostic accuracy for early POAG detection.
• These improved models can significantly augment the clinical ability to diagnose early POAG.
• The ONH-N model, due to its simplicity, presents a promising tool for convenient clinical application.