Weiss Robert E

Mohammadzadeh Vahid, Su Erica, Besharati Sajad, Liu Abraham, Law Simon K, Coleman Anne L et al.

A Bayesian model found central visual field points with 5-20 dB sensitivity show high variability. Excluding these points could improve glaucoma progression detection.

Su Erica, Lee Kwanghyun, Liu Abraham, Mohammadzadeh Vahid, Besharati Sajad, Caprioli Joseph et al.

This study found a Bayesian model more accurately links macular structure and function changes in glaucoma than standard methods. This improves monitoring and understanding of disease progression.

Mohammadi Massood, Su Erica, Mohammadzadeh Vahid, Besharati Sajad, Martinyan Arthur, Coleman Anne L et al.

This study found that while both GCC and RNFL detect glaucoma progression, RNFL's utility diminishes in advanced disease. Clinically, GCC may be more valuable for monitoring severe glaucoma.

Besharati Sajad, Su Erica, Mohammadzadeh Vahid, Mohammadi Massood, Caprioli Joseph, Weiss Robert E et al.

This study found a Bayesian model (HSL) more efficiently detects rapid macular ganglion cell loss in glaucoma than linear regression, improving early identification of fast progressors.

Su Erica, Mohammadzadeh Vahid, Mohammadi Massood, Shi Lynn, Law Simon K, Coleman Anne L et al.

A new statistical model (Bayesian HSL) more accurately tracks macular nerve fiber layer thinning in glaucoma than standard methods, enabling earlier and more efficient detection of disease progression.

Shi Lynn, Mohammadi Massood, Mohammadzadeh Vahid, Su Erica, Weiss Robert E, Caprioli Joseph et al.

This study found retinal nerve fiber layer (RNFL) OCT measurements better detect structural change and progression than Bruch membrane opening-minimum rim width (BMO-MRW) in moderate-to-advanced glaucoma.

Mohammadzadeh Vahid, Su Erica, Mohammadi Massood, Law Simon K, Coleman Anne L, Caprioli Joseph et al.

This study found lower diastolic blood pressure combined with higher intraocular pressure accelerates macular ganglion cell thinning in glaucoma, suggesting blood pressure management may be a therapeutic consideration.

Mohammadi Massood, Su Erica, Chew Leila, Mohammadzadeh Vahid, Caprioli Joseph, Weiss Robert E et al.

This study found GCL thins more than IPL in glaucoma suspects, while IPL thins more in established glaucoma, suggesting GCL changes are earlier indicators of glaucoma progression.

Mohammadzadeh Vahid, Su Erica, Shi Lynn, Coleman Anne L, Law Simon K, Caprioli Joseph et al.

This study modeled longitudinal macular GCC changes in glaucoma, finding strong spatiotemporal correlations and distinct regional patterns. This improves understanding of glaucoma progression and refines predictive modeling for better patient care.

Mohammadzadeh Vahid, Su Erica, Rabiolo Alessandro, Shi Lynn, Zadeh Sepideh Heydar, Law Simon K et al.

This study found that macular Ganglion Cell Complex (GCC) thickness is the optimal OCT measure for detecting structural progression in moderate-to-severe glaucoma, despite full macular thickness showing more change.

Mohammadzadeh Vahid, Su Erica, Heydar Zadeh Sepideh, Law Simon K, Coleman Anne L, Caprioli Joseph et al.

This study developed a Bayesian model to track local macular GCC thinning via OCT. It efficiently estimates individual glaucoma progression rates, aiding early detection and management.

Nouri-Mahdavi Kouros, Weiss Robert E

This review identified challenges in using macular OCT to detect glaucoma progression, like variability and aging. Solutions, including AI and better analysis, could improve its utility for monitoring central vision.