1
|
Munk MR, Somfai GM, de Smet MD, Donati G, Menke MN, Garweg JG, Ceklic L. The Role of Intravitreal Corticosteroids in the Treatment of DME: Predictive OCT Biomarkers. Int J Mol Sci 2022; 23:ijms23147585. [PMID: 35886930 PMCID: PMC9319632 DOI: 10.3390/ijms23147585] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 11/18/2022] Open
Abstract
This work aims to summarize predictive biomarkers to guide treatment choice in DME. Intravitreal anti-VEGF is considered the gold standard treatment for centers involving DME, while intravitreal steroid treatment has been established as a second-line treatment in DME. However, more than 1/3 of the patients do not adequately respond to anti-VEGF treatment despite up to 4-weekly injections. Not surprisingly, insufficient response to anti-VEGF therapy has been linked to low-normal VEGF levels in the serum and aqueous humor. These patients may well benefit from an early switch to intravitreal steroid treatment. In these patients, morphological biomarkers visible in OCT may predict treatment response and guide treatment decisions. Namely, the presence of a large amount of retinal and choroidal hyperreflective foci, disruption of the outer retinal layers and other signs of chronicity such as intraretinal cysts extending into the outer retina and a lower choroidal vascular index are all signs suggestive of a favorable treatment response of steroids compared to anti-VEGF. This paper summarizes predictive biomarkers in DME in order to assist individual treatment decisions in DME. These markers will help to identify DME patients who may benefit from primary dexamethasone treatment or an early switch.
Collapse
Affiliation(s)
- Marion R. Munk
- Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland;
- Bern Photographic Reading Center, Inselspital, University Hospital Bern, 3010 Bern, Switzerland
- Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60208, USA
- Correspondence: ; Tel.: +41-31-632-25-01
| | - Gabor Mark Somfai
- Department of Ophthalmology, Stadtspital Zürich, 8063 Zurich, Switzerland;
- Spross Research Institute, 8063 Zurich, Switzerland
- Department of Ophthalmology, Faculty of Medicine, Semmelweis University, 1085 Budapest, Hungary
| | - Marc D. de Smet
- Medical/Surgical Retina and Ocular Inflammation, University of Lausanne, MIOS SA, 1015 Lausanne, Switzerland;
| | - Guy Donati
- Centre Ophtalmologique de la Colline, University of Geneve, 1205 Geneve, Switzerland;
| | - Marcel N. Menke
- Department of Ophthalmology, Cantonal Hospital Aarau, 5001 Aarau, Switzerland;
| | - Justus G. Garweg
- Swiss Eye Institute, Berner Augenklinik am Lindenhofspital, 3012 Bern, Switzerland;
| | - Lala Ceklic
- Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland;
- Bern Photographic Reading Center, Inselspital, University Hospital Bern, 3010 Bern, Switzerland
| |
Collapse
|
2
|
State-of-the-Art Research on Diabetic Retinopathy. J Clin Med 2022; 11:jcm11133790. [PMID: 35807075 PMCID: PMC9267317 DOI: 10.3390/jcm11133790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 06/29/2022] [Indexed: 11/30/2022] Open
|
3
|
Daich Varela M, Esener B, Hashem SA, Cabral de Guimaraes TA, Georgiou M, Michaelides M. Structural evaluation in inherited retinal diseases. Br J Ophthalmol 2021; 105:1623-1631. [PMID: 33980508 PMCID: PMC8639906 DOI: 10.1136/bjophthalmol-2021-319228] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/07/2021] [Accepted: 04/21/2021] [Indexed: 12/20/2022]
Abstract
Ophthalmic genetics is a field that has been rapidly evolving over the last decade, mainly due to the flourishing of translational medicine for inherited retinal diseases (IRD). In this review, we will address the different methods by which retinal structure can be objectively and accurately assessed in IRD. We review standard-of-care imaging for these patients: colour fundus photography, fundus autofluorescence imaging and optical coherence tomography (OCT), as well as higher-resolution and/or newer technologies including OCT angiography, adaptive optics imaging, fundus imaging using a range of wavelengths, magnetic resonance imaging, laser speckle flowgraphy and retinal oximetry, illustrating their utility using paradigm genotypes with on-going therapeutic efforts/trials.
Collapse
Affiliation(s)
- Malena Daich Varela
- Moorfields Eye Hospital City Road Campus, London, UK
- UCL Institute of Ophthalmology, University College London, London, UK
| | - Burak Esener
- Department of Ophthalmology, Inonu University School of Medicine, Malatya, Turkey
| | - Shaima A Hashem
- Moorfields Eye Hospital City Road Campus, London, UK
- UCL Institute of Ophthalmology, University College London, London, UK
| | | | - Michalis Georgiou
- Moorfields Eye Hospital City Road Campus, London, UK
- UCL Institute of Ophthalmology, University College London, London, UK
| | - Michel Michaelides
- Moorfields Eye Hospital City Road Campus, London, UK
- UCL Institute of Ophthalmology, University College London, London, UK
| |
Collapse
|
4
|
Attiku Y, He Y, Nittala MG, Sadda SR. Current status and future possibilities of retinal imaging in diabetic retinopathy care applicable to low- and medium-income countries. Indian J Ophthalmol 2021; 69:2968-2976. [PMID: 34708731 PMCID: PMC8725126 DOI: 10.4103/ijo.ijo_1212_21] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Diabetic retinopathy (DR) is a leading cause of blindness among adults and the numbers are projected to rise. There have been dramatic advances in the field of retinal imaging since the first fundus image was captured by Jackman and Webster in 1886. The currently available imaging modalities in the management of DR include fundus photography, fluorescein angiography, autofluorescence imaging, optical coherence tomography, optical coherence tomography angiography, and near-infrared reflectance imaging. These images are obtained using traditional fundus cameras, widefield fundus cameras, handheld fundus cameras, or smartphone-based fundus cameras. Fluorescence lifetime ophthalmoscopy, adaptive optics, multispectral and hyperspectral imaging, and multicolor imaging are the evolving technologies which are being researched for their potential applications in DR. Telemedicine has gained popularity in recent years as remote screening of DR has been made possible. Retinal imaging technologies integrated with artificial intelligence/deep-learning algorithms will likely be the way forward in the screening and grading of DR. We provide an overview of the current and upcoming imaging modalities which are relevant to the management of DR.
Collapse
Affiliation(s)
- Yamini Attiku
- Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California
| | - Ye He
- Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California; Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China
| | | | - SriniVas R Sadda
- Doheny Image Reading Center, Doheny Eye Institute; Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| |
Collapse
|
5
|
Vujosevic S, Toma C, Sarao V, Veritti D, Brambilla M, Muraca A, De Cillà S, Villani E, Nucci P, Lanzetta P. Color Fundus Autofluorescence to Determine Activity of Macular Neovascularization in Age-Related Macular Degeneration. Transl Vis Sci Technol 2021; 10:33. [PMID: 34003918 PMCID: PMC7910646 DOI: 10.1167/tvst.10.2.33] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose To evaluate with color fundus autofluorescence (FAF) different lesion components of macular neovascularization (MNV) secondary to age-related macular degeneration (AMD) and to assess its activity. Methods In total, 137 eyes (102 patients) with MNV underwent a complete eye examination, including color fundus photography, optical coherence tomography (OCT), OCT angiography, and confocal color FAF, with an excitation wavelength at 450 nm. Each image was imported into a custom-image analysis software for quantitative estimation of emission wavelength and green and red emission fluorescence (GEFC/REFC) intensity, considering both single components of neovascular AMD and different MNV types (type 1 and type 2 MNV, active and inactive MNV). Results Subretinal fluid (SRF) had significantly higher values of GEFC (P = 0.008 and P = 0.0004) and REFC intensity (P = 0.005 and P = 0.0003) versus fibrosis and atrophy. The emission wavelength from SRF was lower compared to atrophy (P = 0.024) but not to fibrosis (P = 0.46). No significant differences were detected between type 1 and 2 MNV. Considering active versus inactive MNVs, a difference was detected for all evaluated parameters (P < 0.001). Mean FAF wavelength of both MNV with SRF and intraretinal fluid (IRF) was lower versus inactive MNV (P < 0.001 and P = 0.005). MNV with SRF (P < 0.001) had higher values of GEFC and REFC versus inactive MNV (P < 0.001). MNV with IRF had higher values of GEFC versus inactive MNV (P = 0.05). Conclusions Quantitative color FAF can differentiate active versus inactive MNV, whereas no differences were found between type 1 and type 2 MNV. If these data can be further confirmed, color FAF may be useful for automatic detection of active MNV in AMD and as a guide for treatment. Translational Relevance Automatic quantitative evaluation of green and red emission components of FAF in AMD can help determine the activity of MNV and guide the treatment.
Collapse
Affiliation(s)
- Stela Vujosevic
- Eye Clinic IRCCS MultiMedica, Milan, Italy.,University Hospital Maggiore della Carità, Eye Clinic, Novara, Italy
| | - Caterina Toma
- University Hospital Maggiore della Carità, Eye Clinic, Novara, Italy
| | - Valentina Sarao
- Department of Medicine-Ophthalmology, University of Udine, Udine, Italy.,Istituto Europeo di Microchirurgia Oculare-IEMO, Udine, Italy
| | - Daniele Veritti
- Department of Medicine-Ophthalmology, University of Udine, Udine, Italy
| | - Marco Brambilla
- Department of Medical Physics, University Hospital Maggiore Della Carità, Novara, Italy
| | - Andrea Muraca
- University Hospital Maggiore della Carità, Eye Clinic, Novara, Italy
| | - Stefano De Cillà
- University Hospital Maggiore della Carità, Eye Clinic, Novara, Italy.,Department of Health Sciences, University East Piedmont "A. Avogadro," Novara, Italy
| | - Edoardo Villani
- Eye Clinic IRCCS MultiMedica, Milan, Italy.,Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Paolo Nucci
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Paolo Lanzetta
- Department of Medicine-Ophthalmology, University of Udine, Udine, Italy.,Istituto Europeo di Microchirurgia Oculare-IEMO, Udine, Italy
| |
Collapse
|