A deep learning model trained on retinal thickness maps and ONH scans could accurately predict functional performance in glaucoma patients, study finds.
However, a recent Swedish study of newly detected early or moderate untreated open-angle glaucoma still found no evidence that this approach should be used routinely in all patients.
A new survey highlighted that, for the first time, SLT was selected by ophthalmologists relatively new in practice and those with a higher glaucoma patient base. ODs were not surveyed.
Ultrasound elastography found correlations in donor eyes between a larger effect there and a similar strain at the optic nerve head in response to IOP increase.
Using a novel imaging modality, researchers found that these findings were prevalent in eyes with glaucoma and increased the likelihood of a defect in the corresponding central VF 10-2 test locations.