Jianqin Lei1, Enhui Yi2, Yan Suo3, Cheng Chen3, Xiayu Xu4,5, Wenxiang Ding4,5, Nizar Saleh Abdelfattah6,7, Xiaojuan Fan1, Huiqin Lu3. 1. Department of Ophthalmology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. 2. Department of Ophthalmology, Xi'an Central Hospital, Xi'an, China. 3. Department of Ophthalmology, Xi'an No. 1 Hospital, Xi'an, China. 4. The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China. 5. Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, China. 6. Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, United States. 7. Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States.
Abstract
Purpose: To quantify and evaluate macular superficial capillaries and large vessels separately using an optical coherence tomographic angiography (OCTA)-based automatic segmentation algorithm. Methods: In this cross-sectional study, all eyes were scanned using an OCTA device with 3 × 3 mm cube centered on the fovea. Retinal large vessels (arterioles/venules) were automatically segmented from superficial vasculature en-face images. All images were normalized, binarized, and skeletonized for quantification. Metrics of retinal capillaries were calculated by subtracting the measurements of large vessels from total vasculature. Perfusion density (PD), vessel length density (VLD), and vessel diameter index (VDI) within Early Treatment Diabetic Retinopathy Study (ETDRS) 3-mm ring were calculated for total superficial vasculature, large vessels (PDlarge, VLDlarge, and VDIlarge) and capillaries (PDcap, VLDcap, and VDIcap), respectively. Results: Fifty-nine eyes from 59 healthy participants (mean age, 45 ± 14 years, 36 females) and 118 eyes from 67 patients with diabetes mellitus (mean age, 57 ± 10 years, 28 females) were included. The diabetic cohort included four subgroups (35 eyes without diabetic retinopathy, 30 eyes with mild to moderate nonproliferative diabetic retinopathy [NPDR], 27 eyes with severe NPDR, and 26 eyes with PDR). Linear regression showed that all above metrics were correlated with the disease stage (from healthy state to PDR), and the β value was -0.76, 0.24, -0.78, 0.80, 0.30, 0.77, -0.81, 0.16, and -0.82 for VD, VDlarge, VDcap, VDI, VDIlarge, VDIcap, VLD, VLDlarge, and VLDcap, respectively. Conclusions: Retinal capillaries and large vessels responded differently in the context of diabetes. VLD of capillary is a potentially reliable metric in diabetic retinopathy staging.
Purpose: To quantify and evaluate macular superficial capillaries and large vessels separately using an optical coherence tomographic angiography (OCTA)-based automatic segmentation algorithm. Methods: In this cross-sectional study, all eyes were scanned using an OCTA device with 3 × 3 mm cube centered on the fovea. Retinal large vessels (arterioles/venules) were automatically segmented from superficial vasculature en-face images. All images were normalized, binarized, and skeletonized for quantification. Metrics of retinal capillaries were calculated by subtracting the measurements of large vessels from total vasculature. Perfusion density (PD), vessel length density (VLD), and vessel diameter index (VDI) within Early Treatment Diabetic Retinopathy Study (ETDRS) 3-mm ring were calculated for total superficial vasculature, large vessels (PDlarge, VLDlarge, and VDIlarge) and capillaries (PDcap, VLDcap, and VDIcap), respectively. Results: Fifty-nine eyes from 59 healthy participants (mean age, 45 ± 14 years, 36 females) and 118 eyes from 67 patients with diabetes mellitus (mean age, 57 ± 10 years, 28 females) were included. The diabetic cohort included four subgroups (35 eyes without diabetic retinopathy, 30 eyes with mild to moderate nonproliferative diabetic retinopathy [NPDR], 27 eyes with severe NPDR, and 26 eyes with PDR). Linear regression showed that all above metrics were correlated with the disease stage (from healthy state to PDR), and the β value was -0.76, 0.24, -0.78, 0.80, 0.30, 0.77, -0.81, 0.16, and -0.82 for VD, VDlarge, VDcap, VDI, VDIlarge, VDIcap, VLD, VLDlarge, and VLDcap, respectively. Conclusions: Retinal capillaries and large vessels responded differently in the context of diabetes. VLD of capillary is a potentially reliable metric in diabetic retinopathy staging.
Authors: Mohamed Ashraf; Konstantina Sampani; Allen Clermont; Omar Abu-Qamar; Jae Rhee; Paolo S Silva; Lloyd Paul Aiello; Jennifer K Sun Journal: Invest Ophthalmol Vis Sci Date: 2020-08-03 Impact factor: 4.799
Authors: Jan Henrik Terheyden; Maximilian W M Wintergerst; Peyman Falahat; Moritz Berger; Frank G Holz; Robert P Finger Journal: PLoS One Date: 2020-03-20 Impact factor: 3.240