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Irodi A, Zhu Z, Grzybowski A, Wu Y, Cheung CY, Li H, Tan G, Wong TY. The evolution of diabetic retinopathy screening. Eye (Lond) 2025; 39:1040-1046. [PMID: 39910282 PMCID: PMC11978858 DOI: 10.1038/s41433-025-03633-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Revised: 01/06/2025] [Accepted: 01/22/2025] [Indexed: 02/07/2025] Open
Abstract
Diabetic retinopathy (DR) is a leading cause of preventable blindness and has emerged as a global health challenge, necessitating the development of robust management strategies. As DR prevalence continues to rise, advancements in screening methods have become increasingly critical for timely detection and intervention. This review examines three key advancements in DR screening: a shift from specialist to generalist approach, the adoption of telemedicine strategies for expanded access and enhanced efficiency, and the integration of artificial intelligence (AI). In particular, AI offers unprecedented benefits in the form of sustainability and scalability for not only DR screening but other aspects of eye health and the medical field as a whole. Though there remain barriers to address, AI holds vast potential for reshaping DR screening and significantly improving patient outcomes globally.
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Affiliation(s)
- Anushka Irodi
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Ophthalmology, University of Melbourne, Melbourne, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia
| | - Andrzej Grzybowski
- Department of Ophthalmology, University of Warmia and Mazury, Olsztyn, Poland
- Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland
| | - Yilan Wu
- Tsinghua Medicine, Tsinghua University, Beijing, China
| | - Carol Y Cheung
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Centre for Diabetes, Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Shanghai, China
| | - Gavin Tan
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Tien Yin Wong
- Tsinghua Medicine, Tsinghua University, Beijing, China.
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore.
- Beijing Visual Science and Translational Eye Research Institute (BERI), School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua Medicine, Tsinghua University, Beijing, China.
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Tan TE, Jampol LM, Ferris FL, Tadayoni R, Sadda SR, Chong V, Domalpally A, Blodi BL, Duh EJ, Curcio CA, Antonetti DA, Dutta S, Levine SR, Sun JK, Gardner TW, Wong TY. Imaging Modalities for Assessing the Vascular Component of Diabetic Retinal Disease: Review and Consensus for an Updated Staging System. OPHTHALMOLOGY SCIENCE 2024; 4:100449. [PMID: 38313399 PMCID: PMC10837643 DOI: 10.1016/j.xops.2023.100449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 02/06/2024]
Abstract
Purpose To review the evidence for imaging modalities in assessing the vascular component of diabetic retinal disease (DRD), to inform updates to the DRD staging system. Design Standardized narrative review of the literature by an international expert workgroup, as part of the DRD Staging System Update Effort, a project of the Mary Tyler Moore Vision Initiative. Overall, there were 6 workgroups: Vascular Retina, Neural Retina, Systemic Health, Basic and Cellular Mechanisms, Visual Function, and Quality of Life. Participants The Vascular Retina workgroup, including 16 participants from 4 countries. Methods Literature review was conducted using standardized evidence grids for 5 modalities: standard color fundus photography (CFP), widefield color photography (WFCP), standard fluorescein angiography (FA), widefield FA (WFFA), and OCT angiography (OCTA). Summary levels of evidence were determined on a validated scale from I (highest) to V (lowest). Five virtual workshops were held for discussion and consensus. Main Outcome Measures Level of evidence for each modality. Results Levels of evidence for standard CFP, WFCP, standard FA, WFFA, and OCTA were I, II, I, I, and II respectively. Traditional vascular lesions on standard CFP should continue to be included in an updated staging system, but more studies are required before they can be used in posttreatment eyes. Widefield color photographs can be used for severity grading within the area covered by standard CFPs, although these gradings may not be directly interchangeable with each other. Evaluation of the peripheral retina on WFCP can be considered, but the method of grading needs to be clarified and validated. Standard FA and WFFA provide independent prognostic value, but the need for dye administration should be considered. OCT angiography has significant potential for inclusion in the DRD staging system, but various barriers need to be addressed first. Conclusions This study provides evidence-based recommendations on the utility of various imaging modalities for assessment of the vascular component of DRD, which can inform future updates to the DRD staging system. Although new imaging modalities offer a wealth of information, there are still major gaps and unmet research needs that need to be addressed before this potential can be realized. Financial Disclosures Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Tien-En Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Programme (EYE ACP), Duke-National University of Singapore Medical School, Singapore
| | - Lee M. Jampol
- Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | | | - Ramin Tadayoni
- Ophthalmology Department, Lariboisière, AP-HP, Saint Louis and Fondation Adolphe de Rothschild Hospitals, Université Paris Cité, Paris, France
| | - Srinivas R. Sadda
- Doheny Eye Institute, Pasadena, California
- Department of Ophthalmology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Victor Chong
- UCL Institute of Ophthalmology, University College London, London, UK
| | - Amitha Domalpally
- Department of Ophthalmology and Visual Sciences, Wisconsin Reading Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - Barbara L. Blodi
- Department of Ophthalmology and Visual Sciences, Wisconsin Reading Center, University of Wisconsin-Madison, Madison, Wisconsin
| | - Elia J. Duh
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christine A. Curcio
- Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama
| | - David A. Antonetti
- Department of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan Medical School, Ann Arbor, Michigan
| | | | - S. Robert Levine
- The Mary Tyler Moore & S. Robert Levine, MD Charitable Foundation, Greenwich, Connecticut
| | - Jennifer K. Sun
- Joslin Diabetes Center, Beetham Eye Institute, Harvard Medical School, Boston, Massachusetts
| | - Thomas W. Gardner
- Department of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan Medical School, Ann Arbor, Michigan
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Programme (EYE ACP), Duke-National University of Singapore Medical School, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, China
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Fu WN, Du Y, Gong ZY. Application of optical coherence tomography angiography in the assessment of diabetic macular edema staging and laser photocoagulation efficacy. Photodiagnosis Photodyn Ther 2024; 46:104055. [PMID: 38508440 DOI: 10.1016/j.pdpdt.2024.104055] [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: 12/27/2023] [Revised: 03/02/2024] [Accepted: 03/15/2024] [Indexed: 03/22/2024]
Abstract
OBJECTIVE This study aimed to analyze the effect of optical coherence tomography angiography (OCTA) on diabetic macular edema (DME) staging and assess the efficacy of laser photocoagulation. METHODS Eighty-six patients (141 eyes) with suspected DME who visited our hospital from August 2019 to March 2022 were selected and underwent fundus angiography and OCTA. The two examination methods were compared in terms of their efficacy in macular edema staging. Subsequently, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of OCTA in diagnosing DME were assessed using fundus angiography as the gold standard. In patients with clinically significant macular edema (CSME) treated with laser photocoagulation, the central concave non-perfused zone (FAZ), vascular density (VD), central macular retinal thickness (CRT), whole retinal blood flow density (FD-300), superficial capillary plexus (SCP), and deep capillary plexus (DCP) were measured using the OCTA 3 mm × 3 mm mode before treatment, at 3 months after treatment, and at 6 months after treatment. SCP, deep capillary plexus (DCP), blood flow density (VD), best corrected visual acuity (BCVA), and central retinal thickness (CRT) were recorded before treatment, 3 months after treatment, and 6 months after treatment. The correlation between BCVA and pre-treatment OCTA parameters at 6 months after treatment was analyzed using Pearson's correlation. RESULTS Fundus angiography was performed in 86 patients (141 eyes) with suspected DME. Of the 141 eyes, 44 had no leakage, 52 had diffuse edema, 40 had focal macular edema, and 5 had eyes ischemia. A total of 97 eyes showed CSME on fundus angiography. Using fundus angiography as the gold standard, OCTA exhibited a sensitivity of 97.94 %, a specificity of 63.64 %, and an accuracy of 87.23 % in diagnosing CSME. The Kappa value between OCTA and fundus angiography was 0.674. The receiver operating characteristic curve revealed that the area under the curve (AUC) of OCTA in diagnosing CSME was 0.808 (95 % confidence interval: 0.717-0.899). The BCVA was higher, while the CRT was lower in CSME patients at 3 and 6 months after treatment (P<0.05). No significant difference was observed in the OCTA parameters in CSME patients at 3 months after treatment compared with that before treatment (P>0.05). Similarly, no significant difference was found in the FD300 of CSME patients at 6 months after treatment compared with that before treatment (P>0.05). However, the FAZ area, DCP-VD (overall, central concave, and paracentral concave), and SCP-VD (overall, central concave, and paracentral concave) were higher in CSME patients at 6 months after treatment compared with that before treatment (P<0.05). Pearson's correlation showed that BCVA was positively correlated with pre-treatment FAZ area, DCP-VD, and SCP-VD (r>0, P<0.05), and negatively associated with CRT (r<0, P<0.05). CONCLUSION OCTA exhibited high sensitivity and specificity in diagnosis and staging DME. It adeptly captures the microvascular and visual changes in the central macular recess before and after laser photocoagulation therapy, which can quantitatively guide the follow-up treatment of DME.
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Affiliation(s)
- Wei-Na Fu
- Department of Ophthalmology, Ningbo Medical Center Lihuili Hospital, The Affiliated Lihuili Hospital of Ningbo University, Ningbo 315040, Zhejiang Province, China
| | - Yan Du
- Department of Ophthalmology, The First People's Hospital of Jiangxia District, Wuhan 430200, Hubei Province, China
| | - Zhi-Yong Gong
- Department of Ophthalmology, Hanchuan Aier Eye Hospital, Hanchuan 432000, Hubei Province, China.
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Wong TY, Tan TE. The Diabetic Retinopathy "Pandemic" and Evolving Global Strategies: The 2023 Friedenwald Lecture. Invest Ophthalmol Vis Sci 2023; 64:47. [PMID: 38153754 PMCID: PMC10756246 DOI: 10.1167/iovs.64.15.47] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 07/30/2023] [Indexed: 12/29/2023] Open
Affiliation(s)
- Tien Yin Wong
- Singapore Eye Research Institute, Singapore, Singapore National Eye Centre, Singapore
- Duke-National University of Singapore, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, China
| | - Tien-En Tan
- Singapore Eye Research Institute, Singapore, Singapore National Eye Centre, Singapore
- Duke-National University of Singapore, Singapore
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Horie S, Ohno-Matsui K. Progress of Imaging in Diabetic Retinopathy-From the Past to the Present. Diagnostics (Basel) 2022; 12:diagnostics12071684. [PMID: 35885588 PMCID: PMC9319818 DOI: 10.3390/diagnostics12071684] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/24/2022] [Accepted: 07/06/2022] [Indexed: 02/05/2023] Open
Abstract
Advancement of imaging technology in retinal diseases provides us more precise understanding and new insights into the diseases' pathologies. Diabetic retinopathy (DR) is one of the leading causes of sight-threatening retinal diseases worldwide. Colour fundus photography and fluorescein angiography have long been golden standard methods in detecting retinal vascular pathology in this disease. One of the major advancements is macular observation given by optical coherence tomography (OCT). OCT dramatically improves the diagnostic quality in macular edema in DR. The technology of OCT is also applied to angiography (OCT angiograph: OCTA), which enables retinal vascular imaging without venous dye injection. Similar to OCTA, in terms of their low invasiveness, single blue color SLO image could be an alternative method in detecting non-perfused areas. Conventional optical photography has been gradually replaced to scanning laser ophthalmoscopy (SLO), which also make it possible to produce spectacular ultra-widefield (UWF) images. Since retinal vascular changes of DR are found in the whole retina up to periphery, it would be one of the best targets in UWF imaging. Additionally, evolvement of artificial intelligence (AI) has been applied to automated diagnosis of DR, and AI-based DR management is one of the major topics in this field. This review is trying to look back on the progress of imaging of DR comprehensively from the past to the present.
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Affiliation(s)
- Shintaro Horie
- Department of Advanced Ophthalmic Imaging, Tokyo Medical and Dental University, Tokyo 113-8519, Japan;
| | - Kyoko Ohno-Matsui
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo 113-8519, Japan
- Correspondence: ; Tel.: +81-3-5803-5302
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Ashraf M, Cavallerano JD, Sun JK, Silva PS, Aiello LP. Ultrawide Field Imaging in Diabetic Retinopathy: Exploring the Role of Quantitative Metrics. J Clin Med 2021; 10:jcm10153300. [PMID: 34362084 PMCID: PMC8347462 DOI: 10.3390/jcm10153300] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/15/2021] [Accepted: 07/22/2021] [Indexed: 11/25/2022] Open
Abstract
Ultrawide field imaging (UWF) has allowed the visualization of a significantly greater area of the retina than previous standard approaches. In diabetic retinopathy (DR), significantly more lesions are seen on UWF imaging compared to the seven-standard ETDRS fields. In addition, some eyes have lesions that are located predominantly in the peripheral retina that are associated with an increased risk of DR progression. The current DR severity scales are still largely based on clinically visible retinal microvascular lesions and do not incorporate retinal periphery, neuroretinal, or pathophysiologic changes. Thus, current scales are not well suited for documenting progression or regression in eyes with very early or advanced DR, nor in the setting of vascular endothelial growth factor inhibitors (antiVEGF). In addition, the categorical system is highly subjective, and grading is variable between different graders based on experience level and training background. Recently, there have been efforts to quantify DR lesions on UWF imaging in an attempt to generate objective metrics for classification, disease prognostication and prediction of treatment response. The purpose of this review is to examine current quantitative metrics derived from UWF fluorescein angiograms and UWF color imaging to determine their feasibility in any potential future DR classification.
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Affiliation(s)
- Mohamed Ashraf
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA 02215, USA; (J.D.C.); (J.K.S.); (P.S.S.); (L.P.A.)
- Ophthalmology Department, Alexandria Faculty of Medicine, Alexandria Governorate 21500, Egypt
- Ophthalmology, Harvard Medical School, Boston, MA 02215, USA
- Correspondence: ; Tel.: +1-(617)-309-2554
| | - Jerry D. Cavallerano
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA 02215, USA; (J.D.C.); (J.K.S.); (P.S.S.); (L.P.A.)
- Ophthalmology, Harvard Medical School, Boston, MA 02215, USA
| | - Jennifer K. Sun
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA 02215, USA; (J.D.C.); (J.K.S.); (P.S.S.); (L.P.A.)
- Ophthalmology, Harvard Medical School, Boston, MA 02215, USA
| | - Paolo S. Silva
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA 02215, USA; (J.D.C.); (J.K.S.); (P.S.S.); (L.P.A.)
- Ophthalmology, Harvard Medical School, Boston, MA 02215, USA
| | - Lloyd Paul Aiello
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA 02215, USA; (J.D.C.); (J.K.S.); (P.S.S.); (L.P.A.)
- Ophthalmology, Harvard Medical School, Boston, MA 02215, USA
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