MACULAR VASCULAR DENSITY ANALYSIS USING ADOBE PHOTOSHOP SOFTWARE IN DIABETIC EYES: OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY STUDY

Authors

  • Syed Nasir Ali Shah Khyber Eye Foundation Hospital, Gulbahar#4,Peshawar, Pakistan Alkhidmat Hospital, Hashtnagri, Peshawar
  • Yan Luo Zhonghsan Ophthalmic Centre,San-Yat Sen University,Guangzhou, China
  • Muhammad Idrees University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan
  • Umer Farooq Ayub Medical College
  • Jian ying Pan Zhonghsan Ophthalmic Centre,San-Yat Sen University,Guangzhou, China
  • Lu RU Yan Zhonghsan Ophthalmic Centre,San-Yat Sen University,Guangzhou, China
  • Lu Jin Zhonghsan Ophthalmic Centre,San-Yat Sen University,Guangzhou, China
  • Muhammad Usman khan Khyber Teaching Hospital, Peshawar
  • Tariq Muhammad Saeed Government Naseer Ullah Babar Hospital,Peshawar, Pakistan
  • Zara Ahmad University of Agriculture, Peshawar, Pakistan

Abstract

Background: Optical Coherence Tomography Angiography (OCTA) is dye less microvascular visualizing technique. In study we binaries OCTA images of macular vessels in healthy and diabetic subjects without macular oedema using Adobe Photoshop CS3 extended version. Methods: Prospective, single centered, observational study total of 58 eyes of 108 Diabetic Retinopathy (DR) subjects and 20 eyes of 40 normal subjects with mean age of 58.3±10.5 range (40–82) were included in our study. Ten eyes with Non-Diabetic Retinopathy (NDR), twenty-nine eyes with Non-Proliferative Diabetic Retinopathy (NPDR) (mild-10, moderate-7 and severe-12) and nineteen eyes with Proliferative Diabetic Retinopathy (PDR)are studied with images obtained using OCTA between September 2016 to June 2017. Scan area of 6×6 mm was selected to find morphological changes in the superficial retinal layers and deep retinal layers. Captured OCTA images were binarized using automated thresholding algorithm. Macular Vessel Density (MVD) (%) and Foveal Avascular Zone area (mm2) measured for superficial and deep retinal vessel arcade. For comparison, analysis of variance and Kruskal–Wallis test are applied. Results: Diabetic eyes were grouped according to their severity level. MVD and FAZ are compared in all groups. Results are significantly lower in all groups except in controls and NDR. Significant decrease is observed in vascular density of most layers with progress in retinopathy. Conclusion: Adobe Photoshop CS3 extended version is an excellent tool for image binarization. Calculating FAZ area and MVD using OCTA images agreed closely with clinical grading system. Application of this method can be helpful in monitoring disease progression.    

Author Biographies

Syed Nasir Ali Shah, Khyber Eye Foundation Hospital, Gulbahar#4,Peshawar, Pakistan Alkhidmat Hospital, Hashtnagri, Peshawar

Ophthalmology

Yan Luo, Zhonghsan Ophthalmic Centre,San-Yat Sen University,Guangzhou, China

Clinical Retina

Muhammad Idrees, University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan

Institute of Business and Management Sciences,

Umer Farooq, Ayub Medical College

Department of Community Medicine

Jian ying Pan, Zhonghsan Ophthalmic Centre,San-Yat Sen University,Guangzhou, China

Retina Image Reading Center

Lu RU Yan, Zhonghsan Ophthalmic Centre,San-Yat Sen University,Guangzhou, China

Clincal Retina

Lu Jin, Zhonghsan Ophthalmic Centre,San-Yat Sen University,Guangzhou, China

Clinical Retina

Muhammad Usman khan, Khyber Teaching Hospital, Peshawar

Department of Ophthalmology

Tariq Muhammad Saeed, Government Naseer Ullah Babar Hospital,Peshawar, Pakistan

Department of Ophthalmology

Zara Ahmad, University of Agriculture, Peshawar, Pakistan

Department of Biotechnology and Genetic Engineering,

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Published

2021-06-30

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