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Evaluation of retinal vessels of patients with early cardiac infarction using a novel SD-OCT based technique

Session Details

Session Title: Imaging IV

Session Date/Time: Sunday 20/09/2015 | 11:00-13:00

Paper Time: 12:36

Venue: Thalie.

First Author: : R.Kromer GERMANY

Co Author(s): :    E. Tigges   A. Bartels   S. Boelefahr   S. Blankenberg   M. Klemm  

Abstract Details

PURPOSE:The morphology of retinal vessels is closely linked to cardiovascular risk factors and diseases. We describe a SD-OCT-based automated technique analyzing retinal vessels of patients with early cardiac infarction.

Setting:

This study is in cooperation with the University Cardiology Center Hamburg-Eppendorf, including 50 eyes of 50 patients with early cardiac infarction and 50 eyes of 50 healthy patients. All ophthalmic measurement were undertaken at the University Ophthalmology Center Hamburg-Eppendorf.

Methods:

All patients received a cardiac ultrasound examination, extensive blood analysis and electrocardiogram, as well as visual field test, optic nerve analysis (Heidelberg Retina Tomograph) and spectral domain optical coherence tomography (SD-OCT). Peripapillar nerve fiber layer scans (circular scan around optic nerve head) were taken with SD-OCT (Spectralis(R), Heidelberg Engineering, Heidelberg, Germany) with an ART of at least 30 thus reducing noise. All measurements are undertaken by the same investigator. The retinal vessels were automatically segmented in the infrared reflectance image. In the SD-OCT image the retinal nerve fiber layers were detected. The average signal reduction distal of each vessel was calculated for every single layer in comparison to its direct surrounding area. All algorithms were written in commercially available software package Matlab (MathWorks Inc., USA). The resulting data was analyzed using Pearson correlation and ANOVA analysis.

Results:

It resulted an average signal deduction of 69,36 ± 7,101 [%] distal of each vessel. Signal reduction was significantly higher for patients with early cardiac infarction. There was a significant correlation for the vessel index of all vessels with the age of the patients (r=0.47 (p<0.001)) and for arteries with the age of the patients.

Conclusions:

Our results show that there is a significantly increased signal reduction distal of vessels for patients with early cardiac infarction compared to healthy patients. This indicates that it might be possible to use our SD-OCT analysis technique for evaluation of cardiac risk factors. Prospective studies are needed to support this hypothesis.

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