Li Dian

Teng Bettina, Li Dian, Choi Eun Young, Shen Lucy Q, Pasquale Louis R, Boland Michael V et al.

This study found glaucoma visual field patterns in one eye predict defects in the other, aiding clinicians in interpreting visual field loss and managing uncertainty.

Wang Mengyu, Shen Lucy Q, Pasquale Louis R, Wang Hui, Li Dian, Choi Eun Young et al.

AI identified 16 distinct RNFLT patterns in glaucoma. These patterns better predicted visual field loss than traditional methods, potentially improving clinical assessment of RNFLT damage.

Baniasadi Neda, Rauscher Franziska G, Li Dian, Wang Mengyu, Choi Eun Young, Wang Hui et al.

This study mapped normal interocular RNFL thickness differences across 768 locations, finding significant, location-specific asymmetries influenced by age and scan radius, which can improve early glaucoma detection.

Li Dian, Rauscher Franziska G, Choi Eun Young, Wang Mengyu, Baniasadi Neda, Wirkner Kerstin et al.

This study found significant, location-specific sex differences in RNFL thickness, with females generally thicker but males thicker superiorly. Incorporating sex into RNFL norms could improve glaucoma diagnosis.

Wang Mengyu, Pasquale Louis R, Shen Lucy Q, Boland Michael V, Wellik Sarah R, De Moraes Carlos Gustavo et al.

This study found specific visual field features predict if glaucoma hemifield test results will revert to normal, improving diagnostic accuracy and potentially reducing misdiagnosis of early glaucoma.