Artificial Intelligence (Ai) Analysis And Data Processing Of Oct Angiography In An Attempt To Correlate Macula Aging Changes With Mental Status Exam
Published 2024 - 42nd Congress of the ESCRS
Reference: PO1075 | Type: Poster | DOI: 10.82333/1wsz-hc80
Authors: Alexandros John Kanellopoulos* 1 , Anastasios John Kanellopoulos 2
1Ophthalmology,LaserVision Ambulatory Eye Surgery Unit,Athens,Greece, 2Ophthalmology,LaserVision Ambulatory Eye Surgery Unit,Athens,Greece;Ophthalmology,NYU Med School,New York,United States
Purpose
OCT angiography quantitative and qualitative database analysis from AI software, to investigate objective evidence in macular thickness reduction and its possible correlation to mental status decline with aging
Setting
The Laservision Clinical and Research Institute, Athens, Greece
Methods
In this prospective consecutive comparative case series: 60 under-40 healthy patients (group-A) and 60 over-70 (group-B) were assessed for: visual function (UDVA, CDVA, pinhole acuity, OPTOS widefield fundoscopy and autofluorescence as well as OCT angiography with OCTangio Optovue, Avanti) as well as Mini-Mental State Examination (MMSE). The inclusion criteria for groups A and B were healthy bilateral eye function whereas the exclusion criteria were any known retina/macula disease or past surgical intervention or trauma.
Results
The thickness of the superior, inferior and central macula was 275.61 ± 2.04, 270.024 ± 2.26, and 246.82 ± 2.08, in Group A and 271.44 ± 3.34, 267.13 ± 3.55, and 243.66 ± 3.36, respectively in Group B; the difference was statistically significant (P<0.03). Group B demonstrated a statistically significant reduction in MMSE as well (P<0.002)
Conclusions
These data suggest that macular thickness appears statistically significantly lower in older individuals, possibly correlated to mental status decline.