Loading...
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.67 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Sexual dimorphism in the human retina has recently been
connected to gonadal hormones. In the study herein presented, texture
analysis was applied to computed mean value fundus (MVF) images
from optical coherence tomography data of female and male healthy
adult controls. Two separate age-group analyses that excluded the probable perimenopause period of the women in the present study were performed, using a modified MVF image computation method that further highlights texture differences present in the retina. While distinct
texture characteristics were found between premenopausal females and
age-matched males, these differences almost disappeared in the older
groups (postmenopausal women vs age-matched men), suggesting that
sex-related texture differences in the retina can be correlated to the hormonal changes that women go through during the menopausal transition. These findings suggest that texture-based metrics may be used as
biomarkers of physiology and pathophysiology of the retina and the central nervous system.
Description
Keywords
Texture analysis Optical coherence tomography Retina Healthy controls Sexual dimorphism Menopause