Use of High Resolution Digital Retinal Imaging in the Early Detection of Retinopathy in Type 1 Diabetes

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Authors

  • Nicole Mendez Rutgers New Jersey Medical School, 90 Bergen Street, PO Box 1709, Newark, NJ 07103, USA
  • Sumana Kommana Rutgers New Jersey Medical School, 90 Bergen Street, PO Box 1709, Newark, NJ 07103, USA
  • Lesley Wu Rutgers New Jersey Medical School, 90 Bergen Street, PO Box 1709, Newark, NJ 07103, USA
  • Pooja Padgaonkar Rutgers New Jersey Medical School, 90 Bergen Street, PO Box 1709, Newark, NJ 07103, USA
  • Ben Szirth Director, Tele-Ocular Program, Institute of Ophthalmology and Visual Science, Doctors Office Center, Suite 600, Rutgers, The State University of New Jersey, New Jersey Medical School, 90 Bergen Street, Newark, NJ 07103, USA
  • Albert S. Khouri Program Director, Ophthalmology Residency, Associate Director, Glaucoma Division, Rutgers New Jersey Medical School, 90 Bergen Street, PO Box 1709, Newark, NJ 07103, USA

DOI:

https://doi.org/10.17140/DROJ-1-114

Keywords:

Retinopathy, Microaneurysms, Type 1 diabetes, Cataract

Abstract

Background: Type 1 Diabetes Mellitus is one of the most common endocrine and metabolic conditions worldwide, affecting nearly half a million children under the age of 15 years with an anticipated rise in incidence of 4%. The ocular complications of type 1 diabetes can be blinding and thus, inflicting catastrophic consequences on quality of life. In this disease, the greatest
impact in the prevention of vision loss comes from early detection and treatment. Methods: Retinal screening was performed to capture both right and left eyes of children as young as 5 years of age. A Canon CR-2 Plus AF (Tokyo, Japan) non-mydriatic retinal camera with a CMOS chip, a resolution of 18 megapixel and an ISO setting of 400 (range available is from 200 to 6400 ISO) in sensitivity was used for these images. Image management used was image SPECTRUM V5 (Canon USA, Irvine, CA), a postcapture imaging software that automatically separated a color image into three (3) monochromatic images; namely blue, green and
red, to help visualize the nerve fiber layer, the retinal layers as well as the choroid, respectively. Results: In subjects with positive findings (mild diabetic retinopathy), retinal pathology was noted on digital imaging and involved retinal hemorrhages and vascular changes consistent with microaneurysms. Severe nonproliferative diabetic retinopathy was detected in one 20-year-old subject. One subject presented with cataract. Subjects with a positive finding were counseled and a referral to an ophthalmologist was recommended. Conclusions: Non-mydriatic retinal imaging used in mass screenings can help identify the early retinal changes and advance the management and care of patients with diabetic retinopathy. Improvements in digital imaging software and the ability to perform telemedicine from remote locations, can aid eye health care providers in the detection and isolation associated with various
levels of retinopathy.

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Published

2015-08-18

How to Cite

Nicole Mendez, Sumana Kommana, Lesley Wu, Pooja Padgaonkar, Ben Szirth, & Albert S. Khouri. (2015). Use of High Resolution Digital Retinal Imaging in the Early Detection of Retinopathy in Type 1 Diabetes. Diabetes Research, 1(4), 79–83. https://doi.org/10.17140/DROJ-1-114

Issue

Vol. 1 No. 4 (2015): Volume 1 Issue 4 2015

Section

Articles

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