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Hollaus M, Georgopoulos M, Iby J, Brugger J, Leingang O, Bogunovic H, Schmidt-Erfurth U, Sacu S. Analysing early changes of photoreceptor layer thickness following surgery in eyes with epiretinal membranes. Eye (Lond) 2024; 38:863-870. [PMID: 37875700 DOI: 10.1038/s41433-023-02793-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/26/2023] [Accepted: 10/10/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND/OBJECTIVES To analyse short-term changes of mean photoreceptor thickness (PRT) on the ETDRS-grid after vitrectomy and membrane peeling in patients with epiretinal membrane (ERM). SUBJECTS/METHODS Forty-eight patients with idiopathic ERM were included in this prospective study. Study examinations comprised best-corrected visual acuity (BCVA) and optical coherence tomography (OCT) before surgery, 1 week (W1), 1 month (M1) and 3 months (M3) after surgery. Mean PRT was assessed using an automated algorithm and correlated with BCVA and central retinal thickness (CRT). RESULTS Regarding PRT changes of the study eye in comparison to baseline values, a significant decrease at W1 in the 1 mm, 3 mm and 6 mm area (all p-values < 0.001), at M1 (p = 0.009) and M3 (p = 0.019) in the central 1 mm area, a significant increase at M3 in the 6 mm area (p < 0.001), but no significant change at M1 in the 3 mm and 6 mm area and M3 in the 3 mm area (all p-values > 0.05) were observed. BCVA increased significantly from baseline to M3 (0.3LogMAR-0.15LogMAR, Snellen equivalent = 20/40-20/28 respectively; p < 0.001). There was no correlation between baseline PRT and BCVA at any visit after surgery, nor between PRT and BCVA at any visit (all p-values > 0.05). Decrease in PRT in the 1 mm (p < 0.001), 3 mm (p = 0.013) and 6 mm (p = 0.034) area after one week correlated with the increase in CRT (449.9 µm-462.2 µm). CONCLUSIONS Although the photoreceptor layer is morphologically affected by ERMs and after their surgical removal, it is not correlated to BCVA. Thus, patients with photoreceptor layer alterations due to ERM may still benefit from surgery and achieve good functional rehabilitation thereafter.
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Affiliation(s)
- Marlene Hollaus
- Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
- Vienna Clinical Trial Center, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Michael Georgopoulos
- Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Johannes Iby
- Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
- Vienna Clinical Trial Center, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Jonas Brugger
- Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Oliver Leingang
- Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
- Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Hrvoje Bogunovic
- Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
- Christian Doppler Lab for Artificial Intelligence in Retina, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Ursula Schmidt-Erfurth
- Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Stefan Sacu
- Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
- Vienna Clinical Trial Center, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
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Heitkotter H, Allphin MT, Untaroiu A, Min H, Warr E, Wynne N, Cooper RF, Carroll J. Peak Cone Density Predicted from Outer Segment Length Measured on Optical Coherence Tomography. Curr Eye Res 2024; 49:314-324. [PMID: 38146597 PMCID: PMC10922793 DOI: 10.1080/02713683.2023.2289853] [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: 07/24/2023] [Accepted: 11/27/2023] [Indexed: 12/27/2023]
Abstract
PURPOSE To compare peak cone density predicted from outer segment length measured on optical coherence tomography with direct measures of peak cone density from adaptive optics scanning light ophthalmoscopy. METHODS Data from 42 healthy participants with direct peak cone density measures and optical coherence tomography line scans available were used in this study. Longitudinal reflectivity profiles were analyzed using two methods of identifying the boundaries of the ellipsoid and interdigitation zones to estimate maximum outer segment length: peak-to-peak and the slope method. These maximum outer segment length values were then used to predict peak cone density using a previously described geometrical model. A comparison between predicted and direct peak cone density measures was then performed. RESULTS The mean bias between observers for estimating maximum outer segment length across methods was less than 2 µm. Cone density predicted from the peak-to-peak method against direct cone density measures showed a mean bias of 6,812 cones/mm2 with 50% of participants displaying a 10% difference or less between predicted and direct cone density values. Cone density derived from the slope method showed a mean bias of -17,929 cones/mm2 relative to direct cone density measures, with only 41% of participants demonstrating less than a 10% difference between direct and predicted cone density values. CONCLUSION Predicted foveal cone density derived from peak-to-peak outer segment length measurements using commercial optical coherence tomography show modest agreement with direct measures of peak cone density from adaptive optics scanning light ophthalmoscopy. The methods used here are imperfect predictors of cone density, however, further exploration of this relationship could reveal a clinically relevant marker of cone structure.
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Affiliation(s)
- Heather Heitkotter
- Department of Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, Milwaukee, USA
| | - Mitchell T. Allphin
- Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, USA
| | - Ana Untaroiu
- School of Medicine, Medical College of Wisconsin, Milwaukee, USA
| | - Heun Min
- School of Medicine, Medical College of Wisconsin, Milwaukee, USA
| | - Emma Warr
- Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, USA
| | - Niamh Wynne
- Scheie Eye Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert F. Cooper
- Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, USA
- Joint Department of Biomedical Engineering Marquette University and Medical College of Wisconsin, Milwaukee, USA
| | - Joseph Carroll
- Department of Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, Milwaukee, USA
- Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, USA
- Joint Department of Biomedical Engineering Marquette University and Medical College of Wisconsin, Milwaukee, USA
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Chauhan P, Kho AM, Srinivasan VJ. From Soma to Synapse: Imaging Age-Related Rod Photoreceptor Changes in the Mouse with Visible Light OCT. OPHTHALMOLOGY SCIENCE 2023; 3:100321. [PMID: 37388138 PMCID: PMC10302163 DOI: 10.1016/j.xops.2023.100321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 04/05/2023] [Accepted: 04/24/2023] [Indexed: 07/01/2023]
Abstract
Purpose Although the outer nuclear layer (ONL) and outer plexiform layer (OPL) each exhibit a complex internal organization, near-infrared OCT depicts both as monolithic bands. Here, using visible light OCT in the C57BL/6J mouse retina, sublaminar age-related changes in photoreceptor features were imaged and interpreted. These features were (1) oscillations in reflectivity, or striations, in the ONL and (2) a moderately reflective subband in the OPL. Design Cross-sectional study. Participants Pigmented mice (C57BL/6J, n = 14). Methods A 1.0-μm axial resolution visible light spectral/Fourier domain OCT system was used for in vivo retinal imaging. Light and electron microscopy were performed ex vivo. Linear mixed effects models or regression were employed for statistical analysis. Main Outcome Measures Comparison of OCT subbands with corresponding histological features, as well as quantification of subband thickness and reflectivity. Results Corresponding histological comparisons confirm that striations in the ONL arise from the rowlike arrangement of photoreceptor nuclei and reveal that the moderately reflective OPL subband arises from rod spherules. Compression of outer ONL striations with age suggests changes in soma organization. Thinning of the moderately reflective OPL subband with age supports a reduction of synapses in the OPL. Critically, the ONL somas are tightly correlated with the purported spherule layer but not with the rest of the OPL. Conclusions Visible light OCT imaging of the mouse OPL resolves postsynaptic and synaptic differences. Visible light OCT can study rod photoreceptor changes from the soma to the synapse in the living mouse retina. Financial Disclosures Proprietary or commercial disclosure may be found after the references.
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Affiliation(s)
- Pooja Chauhan
- Department of Radiology, NYU Langone Health, New York, New York
| | - Aaron M. Kho
- Department of Biomedical Engineering, University of California Davis, Davis, California
| | - Vivek J. Srinivasan
- Department of Radiology, NYU Langone Health, New York, New York
- Department of Biomedical Engineering, University of California Davis, Davis, California
- Department of Ophthalmology, NYU Langone Health, New York, New York
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Ye T, Wang J, Yi J. Deep learning network for parallel self-denoising and segmentation in visible light optical coherence tomography of the human retina. BIOMEDICAL OPTICS EXPRESS 2023; 14:6088-6099. [PMID: 38021135 PMCID: PMC10659798 DOI: 10.1364/boe.501848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/25/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023]
Abstract
Visible light optical coherence tomography (VIS-OCT) of the human retina is an emerging imaging modality that uses shorter wavelengths in visible light range than conventional near-infrared (NIR) light. It provides one-micron level axial resolution to better separate stratified retinal layers, as well as microvascular oximetry. However, due to the practical limitation of laser safety and comfort, the permissible illumination power is much lower than NIR OCT, which can be challenging to obtain high-quality VIS-OCT images and subsequent image analysis. Therefore, improving VIS-OCT image quality by denoising is an essential step in the overall workflow in VIS-OCT clinical applications. In this paper, we provide the first VIS-OCT retinal image dataset from normal eyes, including retinal layer annotation and "noisy-clean" image pairs. We propose an efficient co-learning deep learning framework for parallel self-denoising and segmentation simultaneously. Both tasks synergize within the same network and improve each other's performance. The significant improvement of segmentation (2% higher Dice coefficient compared to segmentation-only process) for ganglion cell layer (GCL), inner plexiform layer (IPL) and inner nuclear layer (INL) is observed when available annotation drops to 25%, suggesting an annotation-efficient training. We also showed that the denoising model trained on our dataset generalizes well for a different scanning protocol.
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Affiliation(s)
- Tianyi Ye
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21231, USA
| | - Jingyu Wang
- Department of Ophthalmology, Johns Hopkins University, Baltimore, MD, 21231, USA
| | - Ji Yi
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21231, USA
- Department of Ophthalmology, Johns Hopkins University, Baltimore, MD, 21231, USA
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Gupta AK, Meng R, Modi YS, Srinivasan VJ. Imaging human macular pigments with visible light optical coherence tomography and superluminescent diodes. OPTICS LETTERS 2023; 48:4737-4740. [PMID: 37707890 PMCID: PMC10935566 DOI: 10.1364/ol.495247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/04/2023] [Indexed: 09/15/2023]
Abstract
We demonstrate superluminescent diodes (SLDs) for visible light optical coherence tomography (OCT) of the human retina. SLDs are less costly than supercontinuum sources and have lower intrinsic excess noise, enabling imaging closer to the shot noise limit. While single SLDs are not broadband, they provide power concentrated at specific wavelengths relevant to retinal function. As a new, to the best of our knowledge, application, we image human macular pigments (MPs), which are thought to both aid vision and protect against advanced age-related macular degeneration. Using the unique depth-resolved capabilities of OCT, we localize MPs in depth to Henle's fibers beneath the foveal pit in the living human retina. Our approach reduces the cost of visible light OCT to nearly that of near-infrared (NIR) OCT while also providing information about clinically relevant MPs which cannot be measured in the NIR.
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Affiliation(s)
- Alok K. Gupta
- Tech4Health Institute, NYU Langone Health, New York, New York, 10010, USA
- Department of Ophthalmology, NYU Langone Health, New York, New York, 10016, USA
- NYU Tandon School of Engineering, Brooklyn, New York, New York 11201, USA
| | - Ruoyu Meng
- Tech4Health Institute, NYU Langone Health, New York, New York, 10010, USA
- NYU Tandon School of Engineering, Brooklyn, New York, New York 11201, USA
| | - Yasha S. Modi
- Department of Ophthalmology, NYU Langone Health, New York, New York, 10016, USA
| | - Vivek J. Srinivasan
- Tech4Health Institute, NYU Langone Health, New York, New York, 10010, USA
- Department of Ophthalmology, NYU Langone Health, New York, New York, 10016, USA
- NYU Tandon School of Engineering, Brooklyn, New York, New York 11201, USA
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