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Birtel J, Bauer T, Pauleikhoff L, Rüber T, Gliem M, Charbel Issa P. Fundus autofluorescence imaging using red excitation light. Sci Rep 2023; 13:9916. [PMID: 37336979 DOI: 10.1038/s41598-023-36217-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 05/31/2023] [Indexed: 06/21/2023] Open
Abstract
Retinal disease accounts significantly for visual impairment and blindness. An important role in the pathophysiology of retinal disease and aging is attributed to lipofuscin, a complex of fluorescent metabolites. Fundus autofluorescence (AF) imaging allows non-invasive mapping of lipofuscin and is a key technology to diagnose and monitor retinal disease. However, currently used short-wavelength (SW) excitation light has several limitations, including glare and discomfort during image acquisition, reduced image quality in case of lens opacities, limited visualization of the central retina, and potential retinal light toxicity. Here, we establish a novel imaging modality which uses red excitation light (R-AF) and overcomes these drawbacks. R-AF images are high-quality, high-contrast fundus images and image interpretation may build on clinical experience due to similar appearance of pathology as on SW-AF images. Additionally, R-AF images may uncover disease features that previously remained undetected. The R-AF signal increases with higher abundance of lipofuscin and does not depend on photopigment bleaching or on the amount of macular pigment. Improved patient comfort, limited effect of cataract on image quality, and lack of safety concerns qualify R-AF for routine clinical monitoring, e.g. for patients with age-related macular degeneration, Stargardt disease, or for quantitative analysis of AF signal intensity.
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Affiliation(s)
- Johannes Birtel
- Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias Bauer
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Laurenz Pauleikhoff
- Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Theodor Rüber
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Martin Gliem
- Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Peter Charbel Issa
- Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK.
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
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Hess K, Park YJ, Kim HA, Holz FG, Charbel Issa P, Yoon YH, Tzaridis S. Tamoxifen Retinopathy and Macular Telangiectasia Type 2: Similarities and Differences on Multimodal Retinal Imaging. Ophthalmol Retina 2023; 7:101-110. [PMID: 35948211 DOI: 10.1016/j.oret.2022.08.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/01/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
PURPOSE Tamoxifen-induced retinopathy (TR) and macular telangiectasia type 2 (MacTel) share a highly similar retinal phenotype. In this study, we aimed to evaluate differences and similarities that may point toward underlying mechanisms linking both disease entities. DESIGN Retrospective, cross sectional study. SUBJECTS Patients diagnosed with MacTel or TR. METHODS Patients underwent multimodal retinal imaging, including color fundus photography, spectral-domain OCT, fundus autofluorescence, fluorescein angiography, and OCT angiography (if available). Age, age of onset, best-corrected visual acuity, and bilaterality of changes were evaluated. Patients' eyes were graded for different morphologic characteristics by 4 experienced graders. MAIN OUTCOME MEASURES Phenotypical characterization and comparison of frequencies of retinal characteristics of TR and MacTel on multimodal imaging. RESULTS Twenty-eight eyes of 14 patients with TR and 118 eyes of 59 patients with MacTel were included. Age, age of onset, and best-corrected visual acuity were similar in both cohorts. All but 1 patient showed bilateral changes. In patients with MacTel, neurodegenerative changes and vascular alterations were equally present, whereas in patients with TR, neurodegenerative changes usually prevailed. Predilection sites within the central retina differed between the 2 diseases: most findings in patients with TR were limited to the foveal center, whereas changes in patients with MacTel were present throughout a slightly larger region ("MacTel area"), with an epicenter temporal to the foveal center. Distinct morphologic features included the distribution of retinal crystals, the size and position of ellipsoid zone breaks, and the presence of hyperreflective changes on OCT images. Focal hyperpigmentation and neovascular membranes were only present in eyes with MacTel. CONCLUSIONS Macular telangiectasia and TR share a highly similar retinal phenotype, especially in early disease stages. Subtle differences on multimodal retinal images may help distinguish between these 2 disease entities. Our findings indicate the involvement of Müller cells in both diseases, which may explain the observed phenotypic characteristics and similarities.
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Affiliation(s)
- Kristina Hess
- Department of Ophthalmology, University of Bonn, Bonn, Germany; National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Yu Jeong Park
- Department of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hyun-Ah Kim
- Department of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Frank G Holz
- Department of Ophthalmology, University of Bonn, Bonn, Germany
| | - Peter Charbel Issa
- Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom; Nuffield Laboratory of Ophthalmology, Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Young Hee Yoon
- Department of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Simone Tzaridis
- Department of Ophthalmology, University of Bonn, Bonn, Germany; The Lowy Medical Research Institute, La Jolla, California; The Scripps Research Institute, Department of Molecular Medicine, La Jolla, California.
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Macular Telangiectasia Type 2: A Classification System Using MultiModal Imaging MacTel Project Report Number 10. OPHTHALMOLOGY SCIENCE 2022; 3:100261. [PMID: 36846105 PMCID: PMC9944556 DOI: 10.1016/j.xops.2022.100261] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 12/05/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022]
Abstract
Purpose To develop a severity classification for macular telangiectasia type 2 (MacTel) disease using multimodal imaging. Design An algorithm was used on data from a prospective natural history study of MacTel for classification development. Subjects A total of 1733 participants enrolled in an international natural history study of MacTel. Methods The Classification and Regression Trees (CART), a predictive nonparametric algorithm used in machine learning, analyzed the features of the multimodal imaging important for the development of a classification, including reading center gradings of the following digital images: stereoscopic color and red-free fundus photographs, fluorescein angiographic images, fundus autofluorescence images, and spectral-domain (SD)-OCT images. Regression models that used least square method created a decision tree using features of the ocular images into different categories of disease severity. Main Outcome Measures The primary target of interest for the algorithm development by CART was the change in best-corrected visual acuity (BCVA) at baseline for the right and left eyes. These analyses using the algorithm were repeated for the BCVA obtained at the last study visit of the natural history study for the right and left eyes. Results The CART analyses demonstrated 3 important features from the multimodal imaging for the classification: OCT hyper-reflectivity, pigment, and ellipsoid zone loss. By combining these 3 features (as absent, present, noncentral involvement, and central involvement of the macula), a 7-step scale was created, ranging from excellent to poor visual acuity. At grade 0, 3 features are not present. At the most severe grade, pigment and exudative neovascularization are present. To further validate the classification, using the Generalized Estimating Equation regression models, analyses for the annual relative risk of progression over a period of 5 years for vision loss and for progression along the scale were performed. Conclusions This analysis using the data from current imaging modalities in participants followed in the MacTel natural history study informed a classification for MacTel disease severity featuring variables from SD-OCT. This classification is designed to provide better communications to other clinicians, researchers, and patients. Financial Disclosures Proprietary or commercial disclosure may be found after the references.
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Key Words
- BCVA, best-corrected visual acuity
- BLR, blue light reflectance
- CART, Classification and Regression Trees
- CF, color fundus
- Classification
- Classification and Regression Trees (CART)
- EZ, ellipsoid zone
- FAF, fundus autoflorescence
- FLIO, fluorescence lifetime imaging ophthalmoscopy
- MacTel, macular telangiectasia type 2
- Machine learning
- Macular telangiectasia type 2
- NHOR, natural history observation registry
- NHOS, natural history observation study
- Neurovascular degeneration
- OCTA, OCT angiography
- SD-OCT, spectral domain-OCT
- VA, visual acuity
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Moir J, Amin SV, Khanna S, Komati R, Shaw LT, Dao D, Hariprasad SM, Skondra D. Use of OCT Angiography to Diagnose and Manage Atypical Presentations of Macular Telangiectasia Type 2. Int J Mol Sci 2022; 23:7849. [PMID: 35887197 PMCID: PMC9321649 DOI: 10.3390/ijms23147849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/13/2022] [Accepted: 07/14/2022] [Indexed: 11/28/2022] Open
Abstract
Macular telangiectasia Type 2 (MacTel) is a bilateral acquired retinal disease characterized by both vascular changes and atrophy of the retina. The purpose of this case series is to highlight the use of optical coherence tomography angiography (OCTA) as a non-invasive imaging modality to distinguish atypical MacTel from other macular conditions with similar presentations. We performed a retrospective review of patients referred to our academic retinal practice with unconfirmed or misdiagnosed MacTel between July 2017 and July 2021. Patients' OCTA imaging findings were reviewed to guide the appropriate diagnosis and management of atypical MacTel. Fifteen eyes from eight patients were included in this study. Six patients were referred with previous diagnoses of either full-thickness macular hole, lamellar hole, vitreomacular traction (VMT), postoperative cystoid macular edema (CME), or diabetic macular edema (DME). Two patients were referred to us to confirm the diagnosis of MacTel. OCTA revealed telangiectatic vessels in the temporal parafovea of all 15 eyes. OCTA also highlighted previously undiagnosed subretinal neovascularization (SRNV) in seven eyes. OCTA imaging is a valuable imaging modality to distinguish MacTel from other macular conditions, whose treatment courses vary substantially. Due to its ease of use, it holds immense potential in the future as treatments for non-proliferative MacTel emerge.
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Affiliation(s)
- John Moir
- Pritzker School of Medicine, University of Chicago, Chicago, IL 60637, USA;
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA; (S.V.A.); (S.K.); (R.K.); (L.T.S.); (D.D.); (S.M.H.)
| | - Shivam V. Amin
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA; (S.V.A.); (S.K.); (R.K.); (L.T.S.); (D.D.); (S.M.H.)
| | - Saira Khanna
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA; (S.V.A.); (S.K.); (R.K.); (L.T.S.); (D.D.); (S.M.H.)
| | - Rahul Komati
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA; (S.V.A.); (S.K.); (R.K.); (L.T.S.); (D.D.); (S.M.H.)
- Georgia Retina, Stockbridge, GA 30281, USA
| | - Lincoln T. Shaw
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA; (S.V.A.); (S.K.); (R.K.); (L.T.S.); (D.D.); (S.M.H.)
| | - David Dao
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA; (S.V.A.); (S.K.); (R.K.); (L.T.S.); (D.D.); (S.M.H.)
| | - Seenu M. Hariprasad
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA; (S.V.A.); (S.K.); (R.K.); (L.T.S.); (D.D.); (S.M.H.)
| | - Dimitra Skondra
- Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA; (S.V.A.); (S.K.); (R.K.); (L.T.S.); (D.D.); (S.M.H.)
- J. Terry Ernest Ocular Imaging Center, University of Chicago Medical Center, Chicago, IL 60637, USA
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Srinivasan R, Teussink MM, Sloan KR, Bharat RPK, Narayanan R, Raman R. Distribution of macular pigments in macular telangiectasia type 2 and correlation with optical coherence tomography characteristics and visual acuity. BMC Ophthalmol 2022; 22:264. [PMID: 35698056 PMCID: PMC9195394 DOI: 10.1186/s12886-022-02483-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/24/2022] [Indexed: 11/24/2022] Open
Abstract
Background To estimate macular pigment values in macular telangiectasia (MacTel) Type 2 in comparison with healthy subjects in the South Indian population across different spatial profiles and to quantify the regional differences of macular pigment optical density (MPOD) in MacTel Type 2. Methods In this prospective cross-sectional study, healthy controls and patients diagnosed with various stages of MacTel Type 2 underwent MPOD measurement using dual-wavelength autofluorescence technique with Spectralis HRA + OCT. Results Sixty eyes of 31 healthy subjects and 41 eyes of 22 MacTel type 2 patients were included. We found an overall decrease in MPOD values in MacTel type 2 patients (-0.109, -0.11, -0.001) in comparison with healthy subjects (0.38, 0.23, 0.06) at 1°, 2° & 6° foveal eccentricities (P < 0.001). In various stages of MacTel type 2, the mean MPOD was found to be higher in the peripheral region compared to the central region. We found a significantly lower mean MPOD in the central region in association with specific optical coherence tomography (OCT) parameters like inner retinal cavities (P = 0.035) and ellipsoid zone disruption (P = 0.034). Conclusions In MacTel type 2, MPOD distribution varies in different spatial profiles with higher MPOD levels in the peripheral region compared to the central region. The macular pigment levels are associated with inner retinal cavities and ellipsoid zone disruption seen on OCT.
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Affiliation(s)
- Ramyaa Srinivasan
- Shri Bhagwan Mahavir Department of Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India
| | | | - Kenneth R Sloan
- Department of Ophthalmology & Visual Science, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rekha Priya Kalluri Bharat
- Shri Bhagwan Mahavir Department of Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India
| | | | - Rajiv Raman
- Shri Bhagwan Mahavir Department of Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
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Pauleikhoff D, Pauleikhoff L, Chew EY. Imaging endpoints for clinical trials in MacTel type 2. Eye (Lond) 2022; 36:284-293. [PMID: 34389818 PMCID: PMC8807726 DOI: 10.1038/s41433-021-01723-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/15/2021] [Accepted: 07/26/2021] [Indexed: 02/03/2023] Open
Abstract
INTRODUCTION Macular Telangiectasia type 2 (MacTel) is a bilateral neurodegenerative disease associated with dysfunction in the serine and lipid metabolism resulting in loss of Muller cells and photoreceptors. Typical structural changes include vascular abnormalities, loss of retinal transparency, redistribution of macular pigment and thinning of the central retina with photoreceptor loss. The presence and extent of photoreceptor loss, as visible on Optical Coherence Tomography (OCT) ("disease severity scale"), correlate with functional loss and the limitation of photoreceptor loss appears to be the most promising therapeutic approach. Ongoing clinical trials of ciliary neurotrophic factor (CNTF) implants for the treatment of MacTel are using this outcome to evaluate efficacy. An ideal outcome measure provides the ability to quantify the extent of the disease progression with precision and reproducibility. METHODS This review describes the changes and findings on different imaging techniques including fluorescein- and OCT angiography, blue light reflectance, 1- and 2-wavelength autofluorescence and OCT. RESULTS The possibilities of objective quantification of the severity of MacTel and correlation with functional characteristics such as best-corrected visual acuity (BCVA) and microperimetry and their applications as quantitative imaging endpoints for clinical treatment trials are discussed. OCT and especially en face OCT could be demonstrated as precise and reproducible methods to quantify the area of photoreceptor loss, which correlated highly significantly with functional loss in microperimetry. CONCLUSION The analysis of the area of photoreceptor loss on en face OCT is the most reliable imaging endpoint for treatment trials in MacTel. This method is already being used in ongoing randomized trials.
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Affiliation(s)
- Daniel Pauleikhoff
- Department of Ophthalmology, St. Franziskus Hospital Muenster, Münster, Germany.
| | | | - Emily Y Chew
- National Eye Institute, National Institutes of Health, Bethesda, MD, USA
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Ledolter AA, Ristl R, Palmowski‐Wolfe AM, Montuoro A, Deak GG, Sacu S, Holder GE, Schmidt‐Erfurth U, Ritter M. Macular Telangiectasia type 2: multimodal assessment of retinal function and microstructure. Acta Ophthalmol 2021; 100:e1240-e1252. [PMID: 34854225 DOI: 10.1111/aos.15072] [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: 05/28/2021] [Revised: 10/22/2021] [Accepted: 11/19/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE To assess the impact of neurodegenerative morphologic alterations due to macular telangiectasia type 2 (MacTel) on microperimetry (MP) and multifocal electroretinography (mfERG). METHODS Thirty-five eyes of 18 patients with MacTel were examined using spectral domain optical coherence tomography (SD-OCT), fundus autofluorescence (FAF), mfERG and MP. Software was used to match SD-OCT B-scans with the corresponding retinal sensitivity map and multifocal electroretinograms (mfERGs), thus enabling direct structure/function correlation. RESULTS Loss of the ellipsoid zone (EZ) had the strongest negative association with retinal sensitivity (16.77 dB versus 4.58 dB, adj. p < 0.001) of all parameters examined, and a limited negative effect on mfERGs (0.32 SD versus -1.97 SD adj. p = 0.121). Ellipsoid zone (EZ) irregularity was associated with reduced MP values but preserved mfERGs. There was a significant association between areas of inner retinal hyporeflectivity and loss of MP sensitivity (adj. p < 0.001) but the reduction in sensitivity was less than in locations with EZ loss. Areas of mfERG abnormality showed similar sensitivity loss with either inner retinal hyporeflectivity or EZ loss (adj. p = 0.063). In areas with EZ loss alone, preservation of the external limiting membrane (ELM) was associated with higher MP values than in areas with additional ELM loss; the integrity of the ELM alone was not associated with changes either in MP or mfERG. Increased FAF was observed in 51% of eyes, mixed/reduced FAF in 40%, and no abnormality was detected in 9% of eyes. CONCLUSION The data suggest both MP and mfERG to be useful non-invasive modalities for detecting localised macular dysfunction in MacTel. The findings suggest a different sensitivity of the two modalities to inner and outer retinal changes in macular function and are therefore complementary.
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Affiliation(s)
- Anna A. Ledolter
- Department of Ophthalmology Medical University of Vienna Vienna Austria
| | - Robin Ristl
- Section for Medical Statistics Center for Medical Statistics, Informatics, and Intelligent Systems Medical University of Vienna Vienna Austria
| | | | - Alessio Montuoro
- Department of Ophthalmology Medical University of Vienna Vienna Austria
| | - Gabor G. Deak
- Department of Ophthalmology Medical University of Vienna Vienna Austria
| | - Stefan Sacu
- Department of Ophthalmology Medical University of Vienna Vienna Austria
| | - Graham E. Holder
- Department of Ophthalmology Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
- UCL Institute of Ophthalmology London UK
| | | | - Markus Ritter
- Department of Ophthalmology Medical University of Vienna Vienna Austria
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