Hoffman Douglas

Leeprechanon Narakorn, Giaconi Joann A, Manassakorn Anita, Hoffman Douglas, Caprioli Joseph

This study compared SWAP and FDP for early glaucoma detection, finding both similarly detected damage, but FDP had higher sensitivity and was faster, making it a useful tool for early diagnosis.

Leeprechanon Narakorn, Giangiacomo Annette, Fontana Hector, Hoffman Douglas, Caprioli Joseph

This study compared FDP and SAP for glaucoma detection, finding FDP performed similarly but detected more defects, suggesting potential for earlier diagnosis with high accuracy.

Nouri-Mahdavi Kouros, Hoffman Douglas, Gaasterland Douglas, Caprioli Joseph

This study found that early visual field "sum of slopes" and older age predict future glaucoma progression. This helps clinicians estimate worsening and guide treatment decisions.

Nouri-Mahdavi Kouros, Hoffman Douglas, Coleman Anne L, Liu Gang, Li Gang, Gaasterland Douglas et al.

Studying AGIS patients, researchers found older age and larger intraocular pressure (IOP) fluctuations significantly increase glaucoma visual field progression risk, highlighting IOP stability's importance.

Law Simon K, Sohn Yong Ho, Hoffman Douglas, Small Kent, Coleman Anne L, Caprioli Joseph

This study found that advanced AMD can cause optic disc changes mimicking glaucoma, highlighting the need for careful evaluation to avoid misdiagnosis in these patients.

Nouri-Mahdavi Kouros, Hoffman Douglas, Tannenbaum Dana P, Law Simon K, Caprioli Joseph

OCT effectively detects early glaucoma with visual field loss but is less accurate for glaucoma suspects with normal fields, highlighting its utility for confirmed disease.

Tannenbaum Dana P, Hoffman Douglas, Lemij Hans G, Garway-Heath David F, Greenfield David S, Caprioli Joseph

A study found that a scanning laser polarimeter with a variable corneal compensator (VCC) significantly improved glaucoma detection, including early cases, by better accounting for individual corneal differences.

Lin Amy, Hoffman Douglas, Gaasterland Douglas E, Caprioli Joseph

A neural network accurately identified glaucoma progression from visual field data with high sensitivity and specificity, offering a promising tool for earlier clinical detection.