Estrela Tais

Estrela Tais, Jeon-Chapman Jacqueline, Zhang Jia Jia, VanderVeen Deborah K, Gaier Eric D, Heidary Gena et al.

Children with optic disc drusen show significant, faster RNFL thinning than glaucoma suspects. This helps clinicians identify rapid progressors and other optic nerve issues.

Chang Yoon-Hee, Gise Ryan, Estrela Tais, Zurakowski David, Staffa Steven J, Jeon-Chapman Jacqueline et al.

This study found peripapillary hyperreflective ovoid mass-like structures (PHOMS) strongly predict the need for intracranial decompression surgery and resolve post-surgery, making them a useful non-invasive indicator for treatment decisions and success.

Estrela Tais, Jammal Alessandro A, Mariottoni Eduardo B, Urata Carla N, Ogata Nara G, Berchuck Samuel I et al.

This study found that differences in corneal hysteresis between a glaucoma patient's eyes predicted asymmetric visual field loss, highlighting corneal hysteresis as a key risk factor for progression.

Jammal Alessandro A, Thompson Atalie C, Mariottoni Eduardo B, Estrela Tais, Shigueoka Leonardo S, Berchuck Samuel I et al.

This study found that better intraocular pressure control significantly slows retinal nerve fiber layer loss in glaucoma patients, emphasizing IOP management for preserving vision.

Jammal Alessandro A, Thompson Atalie C, Mariottoni Eduardo B, Urata Carla N, Estrela Tais, Berchuck Samuel I et al.

Studying glaucoma progression, researchers found many patients had slow rates, but a quarter showed moderate-to-fast structural (OCT) change. Both OCT and functional (SAP) tests are crucial for monitoring, with OCT detecting more early progression and SAP more advanced.

Jammal Alessandro A, Thompson Atalie C, Mariottoni Eduardo B, Berchuck Samuel I, Urata Carla N, Estrela Tais et al.

A deep learning algorithm for glaucoma detection on fundus photos performed as well as or better than human graders, showing potential for efficient population screening.

Urata Carla N, Mariottoni Eduardo B, Jammal Alessandro A, Ogata Nara G, Thompson Atalie C, Berchuck Samuel I et al.

This study found long-term variability in glaucoma tests (SAP, SD-OCT) is significantly higher than short-term variability. This suggests current progression algorithms may overestimate glaucoma worsening by underestimating long-term variability.