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Joint Event
November 29-30, 2019 | Frankfurt, Germany
28
th
International Conference on
3
rd
International Conference on
Diabetes and Endocrinology
Diabetes and Metabolism
&
2
0
1
9
CONGRESS
DIABETES
2019
DIABETES
Journal of Diabetology | Volume 3
Notes:
T
he study is based onOCT (Optical Coherence Tomography)
images resulting from investigation of 24 patients (with a
total of 33 eyes) with non-proliferative diabetic retinopathy
and of 19 patients (with a total of 26 eyes) without diabetes
mellitus as control group. Patients’ age was between 43 and
92 years old, with amean age of 66.4 years for first group, and
a mean age of 67.6 years for the second one. From this large
group, after the first data evaluation, we selected patients
aged 40 to 65. We evaluate daily each patient, at 9am,
12am, 3pm and 6pm, through glycaemic index level and OCT
investigation using Macular Cube 512x128 images acquisition
type. In the same time, we made specifically measurements
of ISel (photoreceptor inner segment ellipsoid band) layer
thickness using ImageJ soft. We analysed comparatively
data given by OCT device and those obtained through direct
thickness measurements for three macular zones: one central
(foveola) and two circulars (para-foveola and peri-foveola),
having 1mm, 3mm, respectively 6mm in diameter.
We concluded that age and time of the day are significantly
factors that influence the diabetic retinopathy. We also
suggest this method as further investigation tool mostly for
patients at the beginning of illness discovering, in order to
diminishing and even stopping its evolution.
Speaker Biography
Daniela Moraru is completing her PhD studies in Bio-photonic and
Optical Medical research fields at Politehnica University, Bucharest,
within Academic Centre for Optical Engineering and Photonics, working
also as Physics teacher. She graduated Physics Faculty, being specialized
in Biophysics. She has several publications and presentations regarding
some aspects of glycaemia influence on contrast sensitivity and on retinal
thickness from bio-photonic point of view.
e:
moraru.danuta@gmail.comDaniela Moraru
Politehnica University, Romania
Data analyses with ImageJ software in diabetic retinopathy, by
processing the OCT images