Rai Anvit

Leshno Ari, Tsamis Emmanouil, Harizman Noga, De Moraes Carlos Gustavo, La Bruna Sol, Rai Anvit et al.

This study found combining OCT with visual fields, especially 24-2 VF, improves glaucoma severity staging over VF alone, leading to more accurate treatment targets for patients.

Tsamis Emmanouil, La Bruna Sol, Rai Anvit, Leshno Ari, Grossman Jennifer, Cioffi George et al.

This study found combining OCT metrics, especially circumpapillary retinal nerve fiber layer and ganglion cell layer, significantly improves specificity for detecting glaucoma progression, though sole reliance on metrics is not recommended.

Leshno Ari, Tsamis Emmanouil, Harizman Noga, Cioffi George A, Wang Qing, La Bruna Sol et al.

ICD-10 glaucoma severity, based on visual fields, often underestimates actual damage compared to OCT. This means many patients' glaucoma severity is misclassified, highlighting the need to integrate OCT for accurate staging and care.

La Bruna Sol, Rai Anvit, Mao Grace, Kerr Jennifer, Amin Heer, Zemborain Zane Z et al.

OCT RNFL maps frequently show glaucoma-like artifacts in healthy eyes. A "vertical midline" rule helps distinguish true glaucoma, but other OCT data are crucial for high sensitivity, especially in early disease.

Hood Donald C, La Bruna Sol, Tsamis Emmanouil, Thakoor Kaveri A, Rai Anvit, Leshno Ari et al.

This study developed a model to differentiate glaucoma from common OCT p-map artifacts caused by normal anatomical variations, improving OCT-based glaucoma detection for clinical decisions, research, screening, and AI development.