Article: New biomarkers may detect early eye changes that can lead to diabetes-related blindness
Source: Indiana University School of Optometry, via ScienceDaily and NEI
Published: July 26, 2021
Researchers conducted a study of spectral-domain ocular coherence tomography (SD-OCT) algorithms to detect early biomarkers in diabetic retinas. One of the study authors argues, "Many algorithms use any image information that differs between diabetic
patients and controls, which can identify which individuals might have
diabetes, but these can be nonspecific... Our method can be
combined with the other AI methods to provide early information
localized to specific retinal layers or types of tissues, which allows
inclusion of information not analyzed in the other algorithms." In particular, they compared the SD-OCT images of 33 diabetic patients (without diabetic macular edema) with 33 age-matched control participants. According to their results, "Diabetic retinas, although not thicker than controls, had subtle but
quantifiable pattern changes in SD-OCT images particularly in deeper
fundus layers. The size range and distribution of this pattern in
diabetic eyes were consistent with small blood vessel abnormalities and
leakage of lipid and fluid. Feature-based biomarkers may augment retinal
thickness criteria for management of diabetic eye complications, and
may detect early changes."
My rating of this study:
⭐
Papay J and Elsner A.
"Quantifying frequency content in cross-sectional retinal scans of diabetics vs. controls."
PLOS ONE. 18 June 2021.
https://doi.org/10.1371/journal.pone.0253091
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