Automated and ImageJ thresholding algorithm-based analysis of macular vessel density in diabetic patients

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dc.contributor.authorKumawat, Deveshen_US
dc.contributor.authorChawla, Rohanen_US
dc.contributor.authorShah, Poojaen_US
dc.contributor.authorSharma, Anuen_US
dc.contributor.authorSachan, Anushaen_US
dc.contributor.authorPandey, Veenaen_US
dc.date.accessioned2023-08-25T06:33:22Z
dc.date.available2023-08-25T06:33:22Z
dc.date.issued2022-06
dc.description.abstractPurpose: To assess the macular vessel density (VD) on optical coherence tomography angiography (OCT?A) using proprietary software (automated) and image processing software (manual) in diabetic patients. Methods: In a retrospective study, OCT?A images (Triton, TOPCON Inc.) of type 2 diabetics presenting to a tertiary eye care center in North India between January 2018 and December 2019 with or without nonproliferative diabetic retinopathy (NPDR) and with no macular edema were analyzed. Macular images of size 3 × 3 mm were binarized with global thresholding algorithms (ImageJ software). Outcome measures were superficial capillary plexus VD (SCP?VD, automated and manual), deep capillary plexus VD (DCP?VD, manual), and correlation between automated and manual SCP?VD. Results: OCT?A images of 89 eyes (55 patients) were analyzed: no diabetic retinopathy (NoDR): 29 eyes, mild NPDR: 29 eyes, and moderate NPDR: 31 eyes. Automated SCP?VD did not differ between NoDR and mild NPDR (P = 0.69), but differed between NoDR and moderate NPDR (P = 0.014) and between mild and moderate NPDR (P = 0.033). Manual SCP?VD (Huang and Otsu methods) did not differ between the groups. Manual DCP?VD differed between NoDR and mild NPDR and between NoDR and moderate NPDR, but not between mild and moderate NPDR with both Huang (P = 0.024, 0.003, and 0.51, respectively) and Otsu (P = 0.021, 0.006, and 0.43, respectively) methods. Automated SCP?VD correlated moderately with manual SCP?VD using Huang method (r = 0.51, P < 0.001) with a mean difference of ?0.01% (agreement limits from ?6.60% to +6.57%). Conclusion: DCP?VD differs consistently between NoDR and NPDR with image processing, while SCP?VD shows variable results. Different thresholding algorithms provide different results, and there is a need to establish consensus on the most suited algorithmen_US
dc.identifier.affiliationsDr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, Indiaen_US
dc.identifier.affiliationsDepartment of Biostatistics, Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, Indiaen_US
dc.identifier.citationKumawat Devesh, Chawla Rohan, Shah Pooja, Sharma Anu, Sachan Anusha, Pandey Veena. Automated and ImageJ thresholding algorithm-based analysis of macular vessel density in diabetic patients. Indian Journal of Ophthalmology. 2022 Jun; 70(6): 2050-2056en_US
dc.identifier.issn1998-3689
dc.identifier.issn0301-4738
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/224353
dc.languageenen_US
dc.publisherAll India Ophthalmological Societyen_US
dc.relation.issuenumber6en_US
dc.relation.volume70en_US
dc.source.urihttps://doi.org/10.4103/ijo.IJO_74_22en_US
dc.subjectCapillary Plexus Vessel Densityen_US
dc.subjectdiabetic retinopathyen_US
dc.subjectImageJ processing softwareen_US
dc.subjectoptical coherence tomography angiographyen_US
dc.subjectthresholding algorithmen_US
dc.titleAutomated and ImageJ thresholding algorithm-based analysis of macular vessel density in diabetic patientsen_US
dc.typeJournal Articleen_US
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