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Kim SH, Kim M, Lee KM. How is eyeball growth associated with optic nerve head shape and glaucoma? The Lamina cribrosa/Bruch's membrane opening offset theory. Exp Eye Res 2024; 245:109975. [PMID: 38906240 DOI: 10.1016/j.exer.2024.109975] [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: 12/29/2023] [Revised: 05/04/2024] [Accepted: 06/16/2024] [Indexed: 06/23/2024]
Abstract
The optic nerve head (ONH) is a complex structure wherein the axons of the retinal ganglion cells extrude from the eyeball through three openings: 1) the Bruch's membrane opening (BMO) in the retinal layer, 2) the anterior scleral canal opening in the anterior scleral layer, and 3) the lamina cribrosa (LC). Eyeball expansion during growth induces an offset among openings, since the expansion affects the inner retinal and outer scleral layers differently: the posterior polar retinal structure is preserved by the preferential growth in the equatorial region, whereas no such regional difference is observed in the scleral layer. The various modes and extents of eyeball expansion result in diverse directionality and amount of offset among openings, which causes diverse ONH morphology in adults, especially in myopia. In this review, we summarize the ONH changes that occur during myopic axial elongation. These changes were observed prospectively in our previous studies, wherein LC shift and subsequent offset from the BMO center could be predicted by tracing the central retinal vascular trunk position. This offset induces the formation of γ-zone parapapillary atrophy or externally oblique border tissue. As a presumptive site of glaucomatous damage, the LC/BMO offset may render the LC pores in the opposite direction more vulnerable. To support such speculation, we also summarize the relationship between LC/BMO offset and glaucomatous damage. Indeed, LC/BMO offset is not only the cause of diverse ONH morphology in adults, but is also, potentially, an important clinical marker for assessment of glaucoma.
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Affiliation(s)
| | - Martha Kim
- Department of Ophthalmology, Dongguk University Ilsan Hospital, Goyang, South Korea
| | - Kyoung Min Lee
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea; Department of Ophthalmology, Seoul National University Boramae Medical Center, Seoul, South Korea.
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2
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Wang R, Bradley C, Herbert P, Hou K, Hager GD, Breininger K, Unberath M, Ramulu P, Yohannan J. Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability. Ophthalmol Glaucoma 2024; 7:222-231. [PMID: 38296108 DOI: 10.1016/j.ogla.2024.01.005] [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: 09/04/2023] [Revised: 01/21/2024] [Accepted: 01/22/2024] [Indexed: 03/09/2024]
Abstract
PURPOSE Develop and evaluate the performance of a deep learning model (DLM) that forecasts eyes with low future visual field (VF) variability, and study the impact of using this DLM on sample size requirements for neuroprotective trials. DESIGN Retrospective cohort and simulation study. METHODS We included 1 eye per patient with baseline reliable VFs, OCT, clinical measures (demographics, intraocular pressure, and visual acuity), and 5 subsequent reliable VFs to forecast VF variability using DLMs and perform sample size estimates. We estimated sample size for 3 groups of eyes: all eyes (AE), low variability eyes (LVE: the subset of AE with a standard deviation of mean deviation [MD] slope residuals in the bottom 25th percentile), and DLM-predicted low variability eyes (DLPE: the subset of AE predicted to be low variability by the DLM). Deep learning models using only baseline VF/OCT/clinical data as input (DLM1), or also using a second VF (DLM2) were constructed to predict low VF variability (DLPE1 and DLPE2, respectively). Data were split 60/10/30 into train/val/test. Clinical trial simulations were performed only on the test set. We estimated the sample size necessary to detect treatment effects of 20% to 50% in MD slope with 80% power. Power was defined as the percentage of simulated clinical trials where the MD slope was significantly worse from the control. Clinical trials were simulated with visits every 3 months with a total of 10 visits. RESULTS A total of 2817 eyes were included in the analysis. Deep learning models 1 and 2 achieved an area under the receiver operating characteristic curve of 0.73 (95% confidence interval [CI]: 0.68, 0.76) and 0.82 (95% CI: 0.78, 0.85) in forecasting low VF variability. When compared with including AE, using DLPE1 and DLPE2 reduced sample size to achieve 80% power by 30% and 38% for 30% treatment effect, and 31% and 38% for 50% treatment effect. CONCLUSIONS Deep learning models can forecast eyes with low VF variability using data from a single baseline clinical visit. This can reduce sample size requirements, and potentially reduce the burden of future glaucoma clinical trials. FINANCIAL DISCLOSURE(S) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Ruolin Wang
- Malone Center for Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Chris Bradley
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Patrick Herbert
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kaihua Hou
- Malone Center for Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Gregory D Hager
- Malone Center for Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Katharina Breininger
- Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Mathias Unberath
- Malone Center for Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Pradeep Ramulu
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jithin Yohannan
- Malone Center for Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland; Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.
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Bak E, Kim M, Kim SH, Lee KM. Optic nerve head factors associated with initial central visual field defect in primary open-angle glaucoma. Sci Rep 2024; 14:8000. [PMID: 38580736 PMCID: PMC10997601 DOI: 10.1038/s41598-024-58749-6] [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: 10/24/2023] [Accepted: 04/02/2024] [Indexed: 04/07/2024] Open
Abstract
We investigated optic nerve head factors associated with initial parafoveal scotoma (IPFS) in primary open-angle glaucoma. Eighty (80) patients with an IPFS and 84 patients with an initial nasal step (INS) were compared. Central retinal vascular trunk (CRVT) deviation from the Bruch's membrane opening (BMO) center was measured as a surrogate of lamina cribrosa (LC)/BMO offset, and its obliqueness was defined as the absolute value of angular deviation from the fovea-BMO axis. Proximity of retinal nerve fiber layer defect (RNFLD) was defined as the angular deviation of the inner RNFLD margin from the fovea-BMO axis. Microvasculature dropout (MvD) was defined as a focal sectoral capillary dropout with no visible microvascular network identified in the choroidal layer. Factors associated with IPFS, as compared with INS, were assessed using logistic regression analyses and conditional inference tree analysis. The IPFS group had more oblique CRVT offset (P < 0.001), RNFLD closer to the fovea (P < 0.001), more MvD (P < 0.001), and more LC defects (P < 0.001) compared to the INS group. In logistic regression analyses, obliqueness of CRVT offset (P = 0.002), RNFLD proximity (P < 0.001), and MvD (P = 0.001) were significant factors influencing the presence of IPFS. Conditional inference tree analysis showed that RNFLD closer to the fovea (P < 0.001) in the upper level, more oblique CRVT offset (P = 0.013) and presence of MvD (P = 0.001) in the lower level were associated with the probability of having IPFS. IPFS was associated with closer RNFLD location to the fovea when assessed from the BMO. Oblique LC/BMO offset may not only mask RNFLD proximity to the fovea due to a deviated funduscopic disc appearance, but also potentiate IPFS via focal LC defect and MvD.
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Affiliation(s)
- Eunoo Bak
- Department of Ophthalmology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Republic of Korea
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Martha Kim
- Department of Ophthalmology, Dongguk University Ilsan Hospital, Goyang, Korea
| | | | - Kyoung Min Lee
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Department of Ophthalmology, Seoul National University Boramae Medical Center, 39 Boramae Road, Dongjak-gu, Seoul, 07061, Korea.
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4
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Zhang X, Jiang J, Kong K, Li F, Chen S, Wang P, Song Y, Lin F, Lin TPH, Zangwill LM, Ohno-Matsui K, Jonas JB, Weinreb RN, Lam DSC. Optic neuropathy in high myopia: Glaucoma or high myopia or both? Prog Retin Eye Res 2024; 99:101246. [PMID: 38262557 DOI: 10.1016/j.preteyeres.2024.101246] [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: 10/12/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 01/25/2024]
Abstract
Due to the increasing prevalence of high myopia around the world, structural and functional damages to the optic nerve in high myopia has recently attracted much attention. Evidence has shown that high myopia is related to the development of glaucomatous or glaucoma-like optic neuropathy, and that both have many common features. These similarities often pose a diagnostic challenge that will affect the future management of glaucoma suspects in high myopia. In this review, we summarize similarities and differences in optic neuropathy arising from non-pathologic high myopia and glaucoma by considering their respective structural and functional characteristics on fundus photography, optical coherence tomography scanning, and visual field tests. These features may also help to distinguish the underlying mechanisms of the optic neuropathies and to determine management strategies for patients with high myopia and glaucoma.
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Affiliation(s)
- Xiulan Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
| | - Jingwen Jiang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
| | - Kangjie Kong
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
| | - Fei Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
| | - Shida Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
| | - Peiyuan Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
| | - Yunhe Song
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
| | - Fengbin Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, 510060, China.
| | - Timothy P H Lin
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Linda M Zangwill
- Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
| | - Kyoko Ohno-Matsui
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
| | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland.
| | - Robert N Weinreb
- Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
| | - Dennis S C Lam
- The International Eye Research Institute of the Chinese University of Hong Kong (Shenzhen), Shenzhen, China; The C-MER Dennis Lam & Partners Eye Center, C-MER International Eye Care Group, Hong Kong, China.
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5
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Choe S, Jang M, Kim YK, Park KH, Jeoung JW. Clinical usefulness of layer-by-layer deviation maps of Spectralis OCT: comparison with Cirrus OCT. Br J Ophthalmol 2023; 107:1645-1651. [PMID: 36002236 DOI: 10.1136/bjo-2022-321054] [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: 01/04/2022] [Accepted: 07/31/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND/AIMS To compare the diagnostic abilities of Spectralis (Heidelberg Engineering, Heidelberg, Germany) and Cirrus (Carl Zeiss Meditec, Dublin, California, USA) spectral domain-optical coherence tomography (OCT) for retinal nerve fibre layer (RNFL) defect detection among patients with preperimetric glaucoma (PPG) and early glaucoma (EG). METHODS In this cross-sectional study, a total of 144 eyes (47 healthy, 43 PPG, 54 EG; MD≥-6 dB) of 144 participants underwent Spectralis and Cirrus OCT on the same day. The presence of RNFL defect on red-free RNFL photography and the respective deviation maps of Spectralis and Cirrus OCT was rated. Areas under the receiver operating characteristic curves (AUCs), sensitivities and specificities were analysed for each deviation layer to discriminate healthy eyes from PPG and EG eyes. RESULTS The RNFL, ganglion cell layer (GCL) and retinal layers of Spectralis OCT and the RNFL and macular ganglion cell-inner plexiform layer of Cirrus OCT showed high diagnostic performance (all AUCs >0.8) in discriminating PPG and EG eyes from healthy eyes. Among them, RNFL layer of Cirrus OCT had the largest AUC (0.840 for PPG, 0.959 for EG) but showed no statistical differences from RNFL and retinal layers of Spectralis OCT. The inner plexiform layer (IPL) of Spectralis OCT had the smallest AUC (0.563 for PPG, 0.799 for EG). CONCLUSIONS The Spectralis and Cirrus OCT deviation maps showed good diagnostic abilities except for the IPL layer of Spectralis. In the clinical setting, both Spectralis and Cirrus OCT can be useful for detection of RNFL defects in PPG and EG eyes.
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Affiliation(s)
- Sooyeon Choe
- Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea
| | - Mirinae Jang
- Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea
| | - Young Kook Kim
- Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea
| | - Ki Ho Park
- Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea
| | - Jin Wook Jeoung
- Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea
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6
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Herbert P, Hou K, Bradley C, Hager G, Boland MV, Ramulu P, Unberath M, Yohannan J. Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data. Ophthalmol Glaucoma 2023; 6:466-473. [PMID: 36944385 PMCID: PMC10509314 DOI: 10.1016/j.ogla.2023.03.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 01/20/2023] [Accepted: 03/10/2023] [Indexed: 03/22/2023]
Abstract
PURPOSE To assess whether we can forecast future rapid visual field (VF) worsening using deep learning models (DLMs) trained on early VF, OCT, and clinical data. DESIGN A retrospective cohort study. SUBJECTS In total, 4536 eyes from 2962 patients. Overall, 263 (5.80%) eyes underwent rapid VF worsening (mean deviation slope less than -1 dB/year across all VFs). METHODS We included eyes that met the following criteria: (1) followed for glaucoma or suspect status; (2) had at least 5 longitudinal reliable VFs (VF1, VF2, VF3, VF4, and VF5); and (3) had 1 reliable baseline OCT scan (OCT1) and 1 set of baseline clinical measurements (clinical1) at the time of VF1. We designed a DLM to forecast future rapid VF worsening. The input consisted of spatially oriented total deviation values from VF1 (including or not including VF2 and VF3 in some models) and retinal nerve fiber layer thickness values from the baseline OCT. We passed this VF/OCT stack into a vision transformer feature extractor, the output of which was concatenated with baseline clinical data before putting it through a linear classifier to predict the eye's risk of rapid VF worsening across the 5 VFs. We compared the performance of models with differing inputs by computing area under the curve (AUC) in the test set. Specifically, we trained models with the following inputs: (1) model V: VF1; (2) VC: VF1+ Clinical1; (3) VO: VF1+ OCT1; (4) VOC: VF1+ Clinical1+ OCT1; (5) V2: VF1 + VF2; (6) V2OC: VF1 + VF2 + Clinical1 + OCT1; (7) V3: VF1 + VF2 + VF3; and (8) V3OC: VF1 + VF2 + VF3 + Clinical1 + OCT1. MAIN OUTCOME MEASURES The AUC of DLMs when forecasting rapidly worsening eyes. RESULTS Model V3OC best forecasted rapid worsening with an AUC (95% confidence interval [CI]) of 0.87 (0.77-0.97). Remaining models in descending order of performance and their respective AUC (95% CI) were as follows: (1) model V3 (0.84 [0.74-0.95]), (2) model V2OC (0.81 [0.70-0.92]), (3) model V2 (0.81 [0.70-0.82]), (4) model VOC (0.77 [0.65-0.88]), (5) model VO (0.75 [0.64-0.88]), (6) model VC (0.75 [0.63-0.87]), and (7) model V (0.74 [0.62-0.86]). CONCLUSIONS Deep learning models can forecast future rapid glaucoma worsening with modest to high performance when trained using data from early in the disease course. Including baseline data from multiple modalities and subsequent visits improves performance beyond using VF data alone. FINANCIAL DISCLOSURE(S) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Patrick Herbert
- Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland
| | - Kaihua Hou
- Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland
| | - Chris Bradley
- Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland
| | - Greg Hager
- Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland
| | - Michael V Boland
- Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts
| | - Pradeep Ramulu
- Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland
| | - Mathias Unberath
- Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland
| | - Jithin Yohannan
- Malone Center For Engineering in Healthcare, Johns Hopkins University, Baltimore, Maryland; Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland.
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7
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Lu Y, Ji Z, Jia J, Shi R, Liu Y, Shu Q, Lu F, Ge T, He Y. Progress in clinical characteristics of high myopia with primary open-angle glaucoma. Biotechnol Genet Eng Rev 2023:1-20. [PMID: 37243698 DOI: 10.1080/02648725.2023.2218765] [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: 04/11/2023] [Accepted: 05/21/2023] [Indexed: 05/29/2023]
Abstract
High myopia (HM) is a significant risk factor for the occurrence and progression of primary open-angle glaucoma (POAG). Identification with POAG in the HM population is an emergent challenge. Patients with HM have a significantly higher probability of complicating POAG than those without HM. When HM is associated with POAG, the changes to the fundus caused by both of them are confused with each other, making the diagnosis of early glaucoma difficult. This article reviews available researches on HM with POAG, summarizing the characteristics of the fundus structure such as epidemiology, intraocular pressure, optic disc, ganglion cell layer, retinal nerve fiber layer, vascular density, and visual field.
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Affiliation(s)
- Yao Lu
- The Xi'an Medical University, Xi'an, Shaanxi, China
- The Second Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China
| | - Zhi Ji
- The Xi'an Medical University, Xi'an, Shaanxi, China
- The Second Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China
| | - Jun Jia
- The Xi'an Medical University, Xi'an, Shaanxi, China
- The Second Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China
| | - Rui Shi
- Department of Ophthalmology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
| | - Ying Liu
- The Xi'an Medical University, Xi'an, Shaanxi, China
- The Second Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China
| | - Qiong Shu
- The Xi'an Medical University, Xi'an, Shaanxi, China
| | - Fulin Lu
- The Xi'an Medical University, Xi'an, Shaanxi, China
| | - Teng Ge
- The Xi'an Medical University, Xi'an, Shaanxi, China
| | - Yuan He
- The Xi'an Medical University, Xi'an, Shaanxi, China
- The Second Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China
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Kudsieh B, Fernández-Vigo JI, Flores-Moreno I, Ruiz-Medrano J, Garcia-Zamora M, Samaan M, Ruiz-Moreno JM. Update on the Utility of Optical Coherence Tomography in the Analysis of the Optic Nerve Head in Highly Myopic Eyes with and without Glaucoma. J Clin Med 2023; 12:jcm12072592. [PMID: 37048675 PMCID: PMC10095192 DOI: 10.3390/jcm12072592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 03/11/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Glaucoma diagnosis in highly myopic subjects by optic nerve head (ONH) imaging is challenging as it is difficult to distinguish structural defects related to glaucoma from myopia-related defects in these subjects. Optical coherence tomography (OCT) has evolved to become a routine examination at present, providing key information in the assessment of glaucoma based on the study of the ONH. However, the correct segmentation and interpretation of the ONH data employing OCT is still a challenge in highly myopic patients. High-resolution OCT images can help qualitatively and quantitatively describe the structural characteristics and anatomical changes in highly myopic subjects with and without glaucoma. The ONH and peripapillary area can be analyzed to measure the myopic atrophic-related zone, the existence of intrachoroidal cavitation, staphyloma, and ONH pits by OCT. Similarly, the lamina cribosa observed in the OCT images may reveal anatomical changes that justify visual defects. Several quantitative parameters of the ONH obtained from OCT images were proposed to predict the progression of visual defects in glaucoma subjects. Additionally, OCT images help identify factors that may negatively influence the measurement of the retinal nerve fiber layer (RNFL) and provide better analysis using new parameters, such as Bruch’s Membrane Opening-Minimum Rim Width, which serves as an alternative to RNFL measurements in highly myopic subjects due to its superior diagnostic ability.
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Affiliation(s)
- Bachar Kudsieh
- Department of Ophthalmology, University Hospital Puerta De Hierro Majadahonda, 28220 Madrid, Spain
- Centro Internacional de Oftalmologia Avanzada, 28010 Madrid, Spain
- Correspondence: ; Tel.: +34-91-191-60-00
| | - José Ignacio Fernández-Vigo
- Centro Internacional de Oftalmologia Avanzada, 28010 Madrid, Spain
- Department of Ophthalmology, Hospital Clinico San Carlos, Institute of Health Research (IdISSC), 28040 Madrid, Spain
| | - Ignacio Flores-Moreno
- Department of Ophthalmology, University Hospital Puerta De Hierro Majadahonda, 28220 Madrid, Spain
| | - Jorge Ruiz-Medrano
- Department of Ophthalmology, University Hospital Puerta De Hierro Majadahonda, 28220 Madrid, Spain
- Instituto de Microcirugia Ocular (IMO), 28035 Madrid, Spain
| | - Maria Garcia-Zamora
- Department of Ophthalmology, University Hospital Puerta De Hierro Majadahonda, 28220 Madrid, Spain
| | - Muhsen Samaan
- Barraquer Eye Clinic UAE, Dubai P.O. Box 212619, United Arab Emirates
| | - Jose Maria Ruiz-Moreno
- Department of Ophthalmology, University Hospital Puerta De Hierro Majadahonda, 28220 Madrid, Spain
- Instituto de Microcirugia Ocular (IMO), 28035 Madrid, Spain
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9
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Oh R, Lee KM, Kim M, Oh S, Kim SH. Hemisphere opposite to central retinal vascular trunk deviation is earlier affected by glaucomatous damage in primary angle-closure glaucoma. Acta Ophthalmol 2023; 101:e252-e260. [PMID: 36134905 DOI: 10.1111/aos.15258] [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: 03/10/2022] [Revised: 08/15/2022] [Accepted: 09/03/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE The purpose of the study was to investigate whether the position of the central retinal vascular trunk (CRVT), as a surrogate for lamina cribrosa (LC) offset, is associated with the dominant hemisphere of visual field defect in primary angle-closure glaucoma (PACG) eyes. METHODS Central retinal vascular trunk deviation was measured from Bruch's membrane opening (BMO) centre, which was delineated by OCT imaging, using the horizontal midline as a reference. The dominant hemisphere developing visual field defect was defined as three connected abnormal points (having a p-value < 5% probability of being normal) appearing in only one hemisphere or each point of the hemisphere having a statistically worse value compared with its mirrored point in the opposite hemisphere on pattern deviation plots. RESULTS One hundred five (80%) of 132 eyes with PACG had dominant hemisphere of visual field defect initially: 70 eyes (67%) in the superior and 35 eyes (33%) in the inferior hemisphere. The CRVT was located superiorly in the dominant superior visual field defect group (p < 0.001). A logistic regression analysis revealed that superior deviation of the CRVT was the only factor associated with dominant superior visual field defect (p < 0.001). Externally oblique border (EOB) presence was associated with larger BMO (p = 0.005) and angular deviation of CRVT (p = 0.002). CONCLUSIONS Central retinal vascular trunk deviation was associated with the dominant hemisphere of visual field defect in PACG eyes. This finding implies that the LC position relative to the BMO centre (LC/BMO offset) may incur structural vulnerability in the optic nerve head of PACG eyes.
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Affiliation(s)
- Richul Oh
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea.,Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea
| | - Kyoung Min Lee
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea.,Department of Ophthalmology, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Martha Kim
- Department of Ophthamology, Dongguk University Ilsan Hospital, Goyang, South Korea
| | - Sohee Oh
- Department of Biostatistics, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Seok Hwan Kim
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea.,Department of Ophthalmology, Seoul National University Boramae Medical Center, Seoul, South Korea
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Lee KM, Ahn HJ, Kim M, Oh S, Kim SH. Offset of openings in optic nerve head canal at level of Bruch's membrane, anterior sclera, and lamina cribrosa. Sci Rep 2021; 11:22435. [PMID: 34789748 PMCID: PMC8599705 DOI: 10.1038/s41598-021-01184-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 09/27/2021] [Indexed: 01/31/2023] Open
Abstract
We compared the central retinal vascular trunk (CRVT) position, as a surrogate of lamina cribrosa (LC) offset, with the anterior scleral opening (ASCO) offset from the Bruch’s membrane opening (BMO). Based on the BMO-centered radial scans, the BMO and ASCO margins were demarcated, and each center was determined as the center of the best-fitted ellipse for each margin. The ASCO/BMO offset was defined as the offset between each center. Angular deviations and the extent of ASCO and CRVT offsets from the BMO center were compared directly. Incomplete demarcation of ASCO was found in 20%, which was associated with a larger BMO area and a larger ASCO offset from the BMO. The angular deviation of ASCO offset was associated with that of CRVT offset and that of the longest externally oblique border. The ASCO offset was smaller than the CRVT offset, and, unlike the CRVT offset, it was rarely deviated to the inferior side. The complete ASCO margin might not be demarcatable when determined on BMO-centered radial scans in the presence of an offset. Also, the ASCO, which reflects only the superficial scleral layer, might not reflect the LC position, because the LC might be shifted further from the ASCO.
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Affiliation(s)
- Kyoung Min Lee
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea.,Department of Ophthalmology, Seoul National University Boramae Medical Center, 39 Boramae Road, Dongjak-gu, Seoul, 07061, Korea
| | - Hyoung Jun Ahn
- Department of Mathematical Modeling, Mind Flow Lab, Seoul, Korea
| | - Martha Kim
- Department of Ophthalmology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Sohee Oh
- Department of Biostatistics, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Seok Hwan Kim
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea. .,Department of Ophthalmology, Seoul National University Boramae Medical Center, 39 Boramae Road, Dongjak-gu, Seoul, 07061, Korea.
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