July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Smartphone-based Retinal Imaging to Characterize Early Functional Retinal Vascular Changes in Diabetic Retinopathy
Author Affiliations & Notes
  • Carol Yim-lui Cheung
    Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • Yu Meng Wang
    Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong
  • John H K Liu
    Department of Ophthalmology, University of California San Diego, La Jolla, California, United States
  • Kenny H W Lai
    Tuen Mun Eye Center, Hong Kong
  • Robert Chang
    The Byers Eye Institute, Stanford University, California, United States
  • Tien Yin Wong
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
  • Footnotes
    Commercial Relationships   Carol Cheung, None; Yu Meng Wang, None; John Liu, None; Kenny H W Lai, OphthoLens, RainsOptics Ltd, HK (P); Robert Chang, None; Tien Wong, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 4800. doi:
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    • Get Citation

      Carol Yim-lui Cheung, Yu Meng Wang, John H K Liu, Kenny H W Lai, Robert Chang, Tien Yin Wong; Smartphone-based Retinal Imaging to Characterize Early Functional Retinal Vascular Changes in Diabetic Retinopathy. Invest. Ophthalmol. Vis. Sci. 2019;60(9):4800.

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      © ARVO (1962-2015); The Authors (2016-present)

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Purpose : Abnormal autoregulation of retinal blood flow is one of the subclinical pathophysiologic responses that precedes onset of clinical diabetic retinopathy (DR). We aim to examine changes in quantitative retinal vascular parameters from sitting to supine positions measured via smartphone-based retinal imaging in patients with diabetes.

Methods : We conducted a case-control study of 30 subjects with diabetes (20 with any DR and10 without DR) and 21 healthy volunteer controls. Each subject had retinal images capatured from a clip-on adapter lens (OphthoLens, RainsOptics Ltd, HK) over the camera and flashlight on a mobile smartphone, first in sitting and then in supine positions (Figure). Retinal vascular parameters were measured using the Singapore I Vessel Assessment (SIVA) software from the smartphone retinal images. For each parameter, the postural change was calculated as percentage change in the parameters from sitting to supine positions. Paired t-test was first performed to compare the parameters between positions in each group (normal controls, diabetics without DR, diabetics with any DR). Analyses of covariance (ANCOVA) was then performed to estimate mean postural changes across the three groups, after controlling for age, BP and IOP.

Results : In the control group, arteriolar caliber (75.8µm vs. 88.8µm, p<0.001), venular caliber (93.0µm vs. 107.8µm, p=0.002) and arteriolar fractal dimension (1.197 vs. 1.207, p=0.006) were significantly decreased from sitting to supine positions. In contrast, in patients with diabetes, there were no significant changes in the retinal vascular parameters between the positions (all p>0.05). In the ANCOVA, changes in arteriolar caliber (p-trend=0.028), and arteriolar tortuosity (p-trend=0.021) were significantly different across three groups. Among the subjects with diabetes, the calibers of retinal arterioles were less likely to constrict, but the tortuosity of retinal arterioles were more likely to be increased from sitting to supine positions (Table). Persons with diabetes without DR also had similar alterations in retinal arterioles.

Conclusions : Physiological postural changes in retinal vasculature can be assessed and quantified using smartphone-based retinal imaging which may be used as a portable means to characterize early subclinical functional retinal vascular changes and thus identify diabetic individuals at risk of DR.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.




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