VALUE OF FRACTAL ANALYSIS OF OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN VARIOUS STAGES OF DIABETIC RETINOPATHY

Purpose: To use fractal dimensional analysis to investigate retinal vascular disease patterns in patients with diabetic retinopathy using spectral domain optical coherence tomography angiography. Methods: A retrospective study was conducted which included 49 eyes from 26 control subjects and 58 eyes from 35 patients known to have diabetic retinopathy. Of the 58 eyes with known retinopathy, 31 were categorized as nonproliferative diabetic retinopathy (13 mild, 9 moderate, and 9 severe) and 27 were categorized as proliferative diabetic retinopathy. Optical coherence tomography angiography images were acquired using the RTVue XR Avanti (Optovue, Inc). Automated segmentation was obtained through both the superficial and deep capillary plexuses for each eye. Grayscale optical coherence tomography angiography images were standardized and binarized using ImageJ (National Institutes of Health). Fractal box-counting analyses were conducted using Fractalyse (ThéMA). Fractal dimensions (FDs) and correlation coefficient of the superficial and deep capillary plexuses were compared between control eyes and those in various stages of diabetic retinopathy. Results: The superficial and deep capillary plexuses from diabetic and control eyes were analyzed. The average FD for diabetic eyes was significantly lower than in control eyes in the superficial plexus (P = 2.4 × 10−6) and in the deep capillary plexus (P = 1.87 × 10 −12) with a more statistically significant difference noted in the deep capillary plexus. When analyzing diabetic patients without edema noted on optical coherence tomography, the FD was significantly reduced in the superficial (P = 0.001) and deep (P = 1.49 × 10−6) plexuses. When analyzing diabetic patients with edema noted on optical coherence tomography, the FD was significantly reduced in the superficial (P = 2.0 × 10−5) and deep (P = 1.85 × 10−9) plexuses. Conclusion: The optical coherence tomography angiography FD is significantly lower in both superficial and deep capillary plexuses in eyes with all stages studied of diabetic retinopathy. The results were more often significant for the deep capillary plexus. The use of fractal analysis provides an objective criterion to assess microvascular disease burden in diabetic retinopathy.

[1]  Qienyuan Zhou,et al.  RETINAL VASCULAR PERFUSION DENSITY MAPPING USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN NORMALS AND DIABETIC RETINOPATHY PATIENTS , 2015, Retina.

[2]  Ali Erginay,et al.  CAPILLARY PLEXUS ANOMALIES IN DIABETIC RETINOPATHY ON OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY , 2015, Retina.

[3]  Joachim Hornegger,et al.  AN AUTOMATIC, INTERCAPILLARY AREA-BASED ALGORITHM FOR QUANTIFYING DIABETES-RELATED CAPILLARY DROPOUT USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY , 2016, Retina.

[4]  J. Fujimoto,et al.  IMAGE ARTIFACTS IN OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY , 2015, Retina.

[5]  Joachim Hornegger,et al.  AN AUTOMATIC, INTERCAPILLARY AREA-BASED ALGORITHM FOR QUANTIFYING DIABETES-RELATED CAPILLARY DROPOUT USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY. , 2016, Retina.

[6]  Lihteh Wu,et al.  Classification of diabetic retinopathy and diabetic macular edema. , 2013, World journal of diabetes.

[7]  Gianguido C. Cianci,et al.  Lung cancer—a fractal viewpoint , 2015, Nature Reviews Clinical Oncology.

[8]  Ştefan Ţălu,et al.  Characterisation of human non-proliferative diabetic retinopathy using the fractal analysis. , 2015, International journal of ophthalmology.

[9]  Thomas S. Hwang,et al.  Automated Quantification of Nonperfusion in Three Retinal Plexuses Using Projection-Resolved Optical Coherence Tomography Angiography in Diabetic Retinopathy , 2016, Investigative ophthalmology & visual science.

[10]  David Huang,et al.  Automated Quantification of Capillary Nonperfusion Using Optical Coherence Tomography Angiography in Diabetic Retinopathy. , 2016, JAMA ophthalmology.

[11]  Meixiao Shen,et al.  Automated segmentation and fractal analysis of high-resolution non-invasive capillary perfusion maps of the human retina. , 2013, Microvascular research.

[12]  G Landini,et al.  Fractal analysis of the normal human retinal fluorescein angiogram. , 1993, Current eye research.

[13]  M. Golubovic-Arsovska Correlation of diabetic maculopathy and level of diabetic retinopathy. , 2006, Prilozi.

[14]  T. Lai,et al.  Spectral Domain Optical Coherence Tomography Features and Classification Systems for Diabetic Macular Edema: A Review , 2016, Asia-Pacific journal of ophthalmology.

[15]  John I. Clark,et al.  Fractal analysis of region-based vascular change in the normal and non-proliferative diabetic retina , 2002, Current eye research.

[16]  Fernando Oréfice,et al.  [Fractal analysis of retinal vascular tree: segmentation and estimation methods]. , 2007, Arquivos brasileiros de oftalmologia.

[17]  Martin A Mainster,et al.  The fractal properties of retinal vessels: Embryological and clinical implications , 1990, Eye.

[18]  T. Wong,et al.  Retinal vascular fractal and blood pressure in a multiethnic population , 2013, Journal of hypertension.

[19]  Rosa Dolz-Marco,et al.  Fractal Dimensional Analysis of Optical Coherence Tomography Angiography in Eyes With Diabetic Retinopathy. , 2016, Investigative ophthalmology & visual science.

[20]  Naresh Kumar Yadav,et al.  Linking Retinal Microvasculature Features With Severity of Diabetic Retinopathy Using Optical Coherence Tomography Angiography. , 2016, Investigative ophthalmology & visual science.

[21]  Akitoshi Yoshida,et al.  Optical Coherence Tomography Angiography in Diabetic Retinopathy: A Prospective Pilot Study. , 2015, American journal of ophthalmology.

[22]  Lauren Branchini,et al.  DETECTION OF MICROVASCULAR CHANGES IN EYES OF PATIENTS WITH DIABETES BUT NOT CLINICAL DIABETIC RETINOPATHY USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY , 2015, Retina.