Vermeer Koenraad A

Attenuation Coefficients From SD-OCT Data: Structural Information Beyond Morphology on RNFL Integrity in Glaucoma.

This study demonstrated that RNFL AC provides complementary information on the RNFL's health compared with RNFL thickness measurements alone.

Distribution and Rates of Visual Field Loss across Different Disease Stages in Primary Open-Angle Glaucoma.

Our findings suggest that in POAG, VF damage is worse in the superior hemifield than in the inferior hemifield.

Contrast-to-Noise Ratios for Assessing the Detection of Progression in the Various Stages of Glaucoma.

The RNFL thickness is more sensitive for detecting glaucomatous progression at the onset of glaucoma compared to the functional measures, while the latter are more sensitive for detecting progression in the later stages of glaucoma.

The long-term postoperative effect of the Baerveldt glaucoma drainage device and of a trabeculectomy on the corneal endothelium.

Long-term ECD in eyes that underwent a BGI was considerably lower compared with eyes that underwent a TE, mainly in the peripheral cornea.

Frequency of Visual Fields Needed to Detect Glaucoma Progression: A Computer Simulation Using Linear Mixed Effects Model.

Irregular visual field test frequency at relatively short intervals initially and longer intervals later on in the disease provided acceptable results in detecting glaucoma progression.

Pointwise and Region-Wise Course of Visual Field Loss in Patients With Glaucoma.

In the current study, nonlinear regression models showed a better fit compared to the linear regression models in tracking VF loss behavior.

Contrast-to-Noise Ratios to Evaluate the Detection of Glaucomatous Progression in the Superior and Inferior Hemiretina.

Similar to full retinas, detecting conversion to glaucoma in hemiretinas is more sensitive with OCT than SAP, whereas with more advanced disease, SAP is more sensitive for detecting progression.

Global Visit Effects in Point-Wise Longitudinal Modeling of Glaucomatous Visual Fields.

By incorporating the GVE in the longitudinal modeling of VF data, better estimates may be obtained of the rate of progression as well as of predicted future sensitivities.