Tiepei Zhu1,2, Jinlian Ma3,4, Jinyu Li1,2, Xizhe Dai1,2, Panpan Ye1,2, Zhaoan Su1,2, Dexing Kong4, Juan Ye1,2. 1. Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China. 2. Eye Hospital of Zhejiang University, Zhejiang, China. 3. State Key Lab of CAD & CG, College of Computer Science and Technology, Zhejiang University, Zhejiang, China. 4. School of Mathematical Sciences, Zhejiang University, Zhejiang, China.
Abstract
OBJECTIVE: To evaluate the degree of microvascular impairment in DR using multifractal and lacunarity analyses and to compare the diagnostic ability between traditional Euclidean measures (fovea avascular zone area and vessel density) and fractal geometric features. METHODS: This retrospective cross-sectional study included a total of 143 eyes of 94 patients with different stages of DR. The retinal microvasculature was imaged by projection removed OCTA. We examined the degree of association between fractal metrics of the retinal microvasculature and DR severity. The area under the ROC curve was used to estimate the diagnostic performance. RESULTS: With increasing DR severity, the multifractal spectrum shifted toward the left bottom and exhibited less left skewness and asymmetry. The vessel density, multifractal features, and lacunarity measured from the DCP were strongly associated with DR severity. The multifractal feature D5 showed the highest diagnostic ability. The combination of multifractal features further improved the discriminating power. CONCLUSIONS: Multifractal and lacunarity analyses can be potentially valuable tools for assessment of microvascular impairments in DR. Multifractal geometric parameters exhibit a better discriminatory performance than Euclidean measures, particularly for detection of the early stages of DR.
OBJECTIVE: To evaluate the degree of microvascular impairment in DR using multifractal and lacunarity analyses and to compare the diagnostic ability between traditional Euclidean measures (fovea avascular zone area and vessel density) and fractal geometric features. METHODS: This retrospective cross-sectional study included a total of 143 eyes of 94 patients with different stages of DR. The retinal microvasculature was imaged by projection removed OCTA. We examined the degree of association between fractal metrics of the retinal microvasculature and DR severity. The area under the ROC curve was used to estimate the diagnostic performance. RESULTS: With increasing DR severity, the multifractal spectrum shifted toward the left bottom and exhibited less left skewness and asymmetry. The vessel density, multifractal features, and lacunarity measured from the DCP were strongly associated with DR severity. The multifractal feature D5 showed the highest diagnostic ability. The combination of multifractal features further improved the discriminating power. CONCLUSIONS: Multifractal and lacunarity analyses can be potentially valuable tools for assessment of microvascular impairments in DR. Multifractal geometric parameters exhibit a better discriminatory performance than Euclidean measures, particularly for detection of the early stages of DR.
Authors: Mohamed Ashraf; Konstantina Sampani; Omar Abu-Qamar; Jerry Cavallerano; Paolo S Silva; Lloyd Paul Aiello; Jennifer K Sun Journal: Transl Vis Sci Technol Date: 2020-06-05 Impact factor: 3.283
Authors: Michelle R Tamplin; Wenxiang Deng; Mona K Garvin; Elaine M Binkley; Daniel E Hyer; John M Buatti; Johannes Ledolter; H Culver Boldt; Randy H Kardon; Isabella M Grumbach Journal: Invest Ophthalmol Vis Sci Date: 2021-01-04 Impact factor: 4.799