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Oliveira S, Guimarães P, Campos EJ, Fernandes R, Martins J, Castelo-Branco M, Serranho P, Matafome P, Bernardes R, Ambrósio AF. Retinal OCT-Derived Texture Features as Potential Biomarkers for Early Diagnosis and Progression of Diabetic Retinopathy. Invest Ophthalmol Vis Sci 2025; 66:7. [PMID: 39760689 PMCID: PMC11717131 DOI: 10.1167/iovs.66.1.7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Accepted: 11/29/2024] [Indexed: 01/07/2025] Open
Abstract
Purpose Diabetic retinopathy (DR) is usually diagnosed many years after diabetes onset. Indeed, an early diagnosis of DR remains a notable challenge, and, thus, developing novel approaches for earlier disease detection is of utmost importance. We aim to explore the potential of texture analysis of optical coherence tomography (OCT) retinal images in detecting retinal changes in streptozotocin (STZ)-induced diabetic animals at "silent" disease stages when early retinal molecular and cellular changes that cannot be clinically detectable are already occurring. Methods Volume OCT scans and electroretinograms were acquired before and 1, 2, and 4 weeks after diabetes induction. Automated OCT image segmentation was performed, followed by retinal thickness and texture analysis. Blood-retinal barrier breakdown, glial reactivity, and neuroinflammation were also assessed. Results Type 1 diabetes induced significant early changes in several texture metrics. At week 4 of diabetes, autocorrelation, correlation, homogeneity, information measure of correlation II (IMCII), inverse difference moment normalized (IDN), inverse difference normalized (INN), and sum average texture metrics decreased in all retinal layers. Similar effects were observed for correlation, homogeneity, IMCII, IDN, and INN at week 2. Moreover, the values of those seven-texture metrics described above decreased throughout the disease progression. In diabetic animals, subtle retinal thinning and impaired retinal function were detected, as well as an increase in the number of Iba1-positive cells (microglia/macrophages) and a subtle decrease in the tight junction protein immunoreactivity, which did not induce any physiologically relevant effect on the blood-retinal barrier. Conclusions The effects of diabetes on the retina can be spotted through retinal texture analysis in the early stages of the disease. Changes in retinal texture are concomitant with biological retinal changes, thus unlocking the potential of texture analysis for the early diagnosis of DR. However, this requires to be proven in clinical studies.
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Affiliation(s)
- Sara Oliveira
- University of Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal
- University of Coimbra, Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
| | - Pedro Guimarães
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal
- University of Coimbra, Faculty of Medicine (FMUC), Coimbra, Portugal
| | - Elisa Julião Campos
- University of Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal
- University of Coimbra, Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- University of Coimbra, Chemical Engineering and Renewable Resources for Sustainability (CERES), Department of Chemical Engineering (DEQ), Faculty of Sciences and Technology (FCTUC), Coimbra, Portugal
- University of Coimbra, Center for Neuroscience and Cell Biology (CNC-UC), Coimbra, Portugal
| | - Rosa Fernandes
- University of Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal
- University of Coimbra, Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- University of Coimbra, Institute of Pharmacology and Experimental Therapeutics, Faculty of Medicine, Coimbra, Portugal
| | - João Martins
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal
| | - Miguel Castelo-Branco
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal
- University of Coimbra, Faculty of Medicine (FMUC), Coimbra, Portugal
| | - Pedro Serranho
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal
- Universidade Aberta, Department of Sciences and Technology, Lisbon, Portugal
| | - Paulo Matafome
- University of Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal
- University of Coimbra, Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- University of Coimbra, Institute of Physiology, Faculty of Medicine, Coimbra, Portugal
- Polytechnic University of Coimbra, Health and Technology Research Center (H&TRC), Coimbra Health School (ESTeSC), Coimbra, Portugal
| | - Rui Bernardes
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal
- University of Coimbra, Faculty of Medicine (FMUC), Coimbra, Portugal
| | - António Francisco Ambrósio
- University of Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal
- University of Coimbra, Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
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Unlu M, Sevim DG, Karaca C, Duzgun B, Oner AO, Mirza E. Evaluation of the effect of fluorescein angiography on retinal vessel diameter: an optical coherence tomography study. Int Ophthalmol 2017; 38:75-82. [PMID: 28039673 DOI: 10.1007/s10792-016-0425-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 12/26/2016] [Indexed: 11/30/2022]
Abstract
PURPOSE To evaluate the effect of fluorescein angiography on retinal vessel diameter with Optical Coherence Tomography (OCT). METHODS In this cross-sectional study, a total of 81 eyes of 81 patients who were performed fluorescein angiography (FA) procedure were included. Retinal vessels were examined with the Spectral-domain OCT at baseline and immediately after FA procedure. A cube scan consisting of seven horizontal scans were placed at the inferior border of the disk to include the inferior temporal retinal vessels. Vessels diameters were measured at five measurement points (480-1440 μm inferiorly from the optic disk border). RESULTS The mean age of the study subjects was 58.02 ± 14.1 years. At baseline, the mean diameter of the retinal artery was 120.16 ± 24.56 µm and of the vein 157.94 ± 32.34 µm at the measurement point of 480 μm, with a gradual decrease to 114.91 ± 25.59 and 152.17 ± 28.17 µm, respectively, at 1440 μm. After FA procedure, the mean diameter of the retinal artery was 122.85 ± 26.35 and of the vein 158.30 ± 32.21 µm at the measurement point of 480 μm, with a gradual decrease to 115.22 ± 22.91 and 151.94 ± 28.93 µm, respectively, at 1440 μm. There were no statistical differences for either of these comparisons at any of the points of both artery and vein measurements. CONCLUSION There was not any clinically significant change in retinal artery diameter such as a dilatatory response after FA procedure in patients with hypertension, diabetes, and age-related macular degeneration (AMD).
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Affiliation(s)
- Metin Unlu
- Ophthalmology Department, School of Medicine, Erciyes University, 38039, Kayseri, Turkey.
| | - Duygu Gülmez Sevim
- Ophthalmology Department, School of Medicine, Erciyes University, 38039, Kayseri, Turkey
| | - Cagatay Karaca
- Ophthalmology Department, School of Medicine, Erciyes University, 38039, Kayseri, Turkey
| | - Bahadir Duzgun
- Ophthalmology Department, School of Medicine, Erciyes University, 38039, Kayseri, Turkey
| | - Ayse Ozturk Oner
- Ophthalmology Department, School of Medicine, Erciyes University, 38039, Kayseri, Turkey
| | - Ertugrul Mirza
- Ophthalmology Department, School of Medicine, Erciyes University, 38039, Kayseri, Turkey
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Huang S, Shen M, Zhu D, Chen Q, Shi C, Chen Z, Lu F. In vivo imaging of retinal hemodynamics with OCT angiography and Doppler OCT. BIOMEDICAL OPTICS EXPRESS 2016; 7:663-76. [PMID: 26977370 PMCID: PMC4771479 DOI: 10.1364/boe.7.000663] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 01/20/2016] [Accepted: 01/20/2016] [Indexed: 05/08/2023]
Abstract
Retinal hemodynamics is important for early diagnosis and precise monitoring in retinal vascular diseases. We propose a novel method for measuring absolute retinal blood flow in vivo using the combined techniques of optical coherence tomography (OCT) angiography and Doppler OCT. Doppler values can be corrected by Doppler angles extracted from OCT angiography images. A three-dimensional (3D) segmentation algorithm based on dynamic programming was developed to extract the 3D boundaries of optic disc vessels, and Doppler angles were calculated from 3D vessel geometry. The accuracy of blood flow from the Doppler OCT was validated using a flow phantom. The feasibility of the method was tested on a subject in vivo. The pulsatile retinal blood flow and the parameters for retinal hemodynamics were successfully obtained.
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Affiliation(s)
- Shenghai Huang
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Co-first authors: they have contributed equally to the project
| | - Meixiao Shen
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Co-first authors: they have contributed equally to the project
| | - Dexi Zhu
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qi Chen
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ce Shi
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhongping Chen
- University of California, Irvine, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California, USA
| | - Fan Lu
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
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