| Literature DB >> 35741230 |
Yong Li1,2, Feihui Zheng1, Li Lian Foo1,2, Qiu Ying Wong1, Daniel Ting1,2, Quan V Hoang1,2,3,4, Rachel Chong1,2, Marcus Ang1,2, Chee Wai Wong1,2.
Abstract
Advances in imaging with optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) technology, including the development of swept source OCT/OCTA, widefield or ultra-widefield systems, have greatly improved the understanding, diagnosis, and treatment of myopia and myopia-related complications. Anterior segment OCT is useful for imaging the anterior segment of myopes, providing the basis for implantable collamer lens optimization, or detecting intraocular lens decentration in high myopic patients. OCT has enhanced imaging of vitreous properties, and measurement of choroidal thickness in myopic eyes. Widefield OCT systems have greatly improved the visualization of peripheral retinal lesions and have enabled the evaluation of wide staphyloma and ocular curvature. Based on OCT imaging, a new classification system and guidelines for the management of myopic traction maculopathy have been proposed; different dome-shaped macula morphologies have been described; and myopia-related abnormalities in the optic nerve and peripapillary region have been demonstrated. OCTA can quantitatively evaluate the retinal microvasculature and choriocapillaris, which is useful for the early detection of myopic choroidal neovascularization and the evaluation of anti-vascular endothelial growth factor therapy in these patients. In addition, the application of artificial intelligence in OCT/OCTA imaging in myopia has achieved promising results.Entities:
Keywords: imaging; myopia; optical coherence tomography (OCT); optical coherence tomography angiography (OCTA); pathologic myopia
Year: 2022 PMID: 35741230 PMCID: PMC9221645 DOI: 10.3390/diagnostics12061418
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Figure 1OCT and OCTA images of a highly myopic eye with patchy chorioretinal atrophy. (a) Swept-source OCT (SS-OCT) B-scan image shows the loss of retinal pigment epithelium (RPE), Bruch’s membrane, and choroid corresponding to the patchy atrophy area (white arrow); (b) Fundus photography shows patchy chorioretinal atrophy (white arrows); (c) OCTA image shows the loss of choriocapillaris flow signals corresponding to the patchy atrophy area (red arrows).
Recent studies of OCT/OCTA imaging in MMD. MMD, myopia macular degeneration; SS-OCT, swept-source optical coherence tomography; OCTA, optical coherence tomography angiography.
| Author | Title (Year) | Study Design | Population Based | Total Sample Size | OCT/OCTA Used | Main Results |
|---|---|---|---|---|---|---|
| Wong, CW., et al. | Characterization of the choroidal vasculature in myopic maculopathy with optical coherence tomographic angiography (2019) [ | Cross-sectional study | Clinic-based | 42 eyes with high myopia | SS-OCT (Topcon DRI OCT Triton; Topcon) | Choriocapillaris flow impairment was observed and worsened with increasing severity of myopic maculopathy |
| Wong, CW., et al. | Is Choroidal or Scleral Thickness Related to Myopic Macular Degeneration? (2016) [ | Prospective study | Clinic-based | 62 eyes with high myopia | SS-OCT (Topcon Medical Systems, Paramus, NJ, USA) | Significant thinning of the choroid with increasing MMD severity |
| Zheng F, et al. | Quantitative OCT angiography of the retinal microvasculature and choriocapillaris in highly myopic eyes with myopic macular degeneration (2020) [ | Prospective study | Clinic-based | 162 eyes with high myopia | PLEX Elite 9000 SS-OCTA (Carl Zeiss Meditec V.1.7) | Significant OCTA alterations in the retina and choriocapillaris in high myopic eyes with varying severities of MMD |
| Zheng, F., et al. | Macular Sensitivity and Capillary Perfusion in Highly Myopic Eyes with Myopic Macular Degeneration (2022) [ | Prospective study | Clinic-based | 138 eyes with high myopia | PLEX Elite 9000 SS-OCTA (Carl Zeiss Meditec V.1.7) | There was a strong correlation between reduced macular sensitivity and increasing MMD severity |
| Zhang, Z., et al. | Investigation of Macular Choroidal Thickness and Blood Flow Change by Optical Coherence Tomography Angiography After Posterior Scleral Reinforcement (2021) [ | Prospective study | Hospital-based | 25 eyes with high myopia | VG200 SS-OCTA | Choroidal thickness and choroidal blood flow increased significantly in patients with high myopia; choroidal thickness and choroidal perfusion area were independently associated with MMD |
Recent studies of OCT/OCTA imaging in mCNV. mCNV, myopic choroidal neovascularization; SD-OCT, spectral domain optical coherence tomography; OCTA, optical coherence tomography angiography; FFA, fundus fluorescein angiography; SRF, subretinal fluids; CT, choroid thickness.
| Author | Title (Year) | Study Design | Population Based | Total Sample Size | OCT/OCTA Used | Main Results |
|---|---|---|---|---|---|---|
| Wang, Yao., et al. | Optical Coherence Tomography Angiography-Based Quantitative Assessment of Morphologic Changes in Active Myopic Choroidal Neovascularization During Anti-vascular Endothelial Growth Factor Therapy (2021) [ | Retrospective study | Hospital-based | 31 eyes | SD-OCT system (RTVue-XR; Optovue, Inc., Freemont, CA, USA) | OCTA-based analysis could promote new insights into the therapeutic response assessment in mCNV patients |
| Bagchi, Akanksha., et al. | Diagnostic algorithm utilising multimodal imaging including optical coherence tomography angiography for the detection of myopic choroidal neovascularisation (2019) [ | Retrospective study | Hospital-based | 27 eyes | SD-OCT Spectralis system (Spectralis; Heidelberg Engineering, Heidelberg, Germany); OCTA AngioPlex (Carl Zeiss Meditec, Inc., Dublin, CA, USA) | When combined, OCTA and SD-OCT or SD-OCT and FFA showed similar higher sensitivities than each modality alone |
| Li, Songshan., et al. | Assessing the Activity of Myopic Choroidal Neovascularizaiton: Comparison between Optical Coherence Tomography Angiography and Dye Angiography (2020) [ | Retrospective study | Hospital-based | 82 patients | RTVue AngioVue System, XR Avanti SD-OCT device (Optovue, Inc, Fremont, CA, USA) | In mCNV, the acquisition rate of clear OCTA images was 75.9% |
| Hosoda, Yoshikatsu., et al. | Novel Predictors of Visual Outcome in Anti-VEGF Therapy for Myopic Choroidal Neovascularization Derived Using OCT Angiography (2018) [ | Prospective study | Hospital-based | 28 eyes | OCTA (RTVue XR Avanti with AngioVue; Optovue, Inc., Fremont, CA, USA) | Exuberant mCNV, characterized by high VLD and FD derived using OCTA, is a predictor of poor visual outcomes |
| Cheng, Ying., et al. | Application of Optical Coherence Tomography Angiography to Assess Anti-Vascular Endothelial Growth Factor Therapy in Myopic Choroid Neovascularization (2019) [ | Prospective study | Hospital-based | 13 eyes | OCTA (RTVue XR Avanti with AngioVue; Optovue, Inc., Fremont, CA, USA) | OCTA could provide sensitive and intuitive images and quantitative analysis for monitoring and evaluating the therapeutic effect |
| Ueda-Consolvo, Tomoko., et al. | Using optical coherence tomography angiography to guide myopic choroidal neovascularization treatment: a 3-year follow-up study (2021) [ | Retrospective study | Hospital-based | 11 eyes | RTVue XR spectral domain OCT device (Optovue Inc., Freemont, CA, USA) | Regular examination and prompt treatments against recurrences are critical to prevent enlargement of mCNV |
| Ding, Xiaoyan., et al. | Retinal pigmental epithelium elevation and external limiting membrane interruption in myopic choroidal neovascularization: correlation with activity (2018) [ | Prospective study | Hospital-based | 54 eyes | SD-OCT Spectralis HRA (Heidelberg Engineering, Heidelberg, Germany) | Provided a simple, fast, accurate alternative to evaluate the mCNV activity based on non-invasive OCT |
| Ishida, Tomok., et al. | Possible connection of short posterior ciliary arteries to choroidal neovascularisations in eyes with pathologic myopia (2019) [ | Retrospective study | Hospital-based | 124 eyes | Swept-source OCT (DRI-OCT; Topcon, Tokyo, Japan) | Swept-source OCT showed that |
| Battaglia Parodi, Maurizio., et al. | Fluorescein Leakage and Optical Coherence Tomography Features of Choroidal Neovascularization Secondary to Pathologic Myopia (2018) [ | Prospective study | Hospital-based | 49 patients | SD-OCT Spectralis HRA (Heidelberg Engineering, Heidelberg, Germany) | Different patterns of mCNV may be identified in FA and they correlate with specific SD-OCT alterations |
Figure 2OCT and OCTA images of myopic choroidal neovascularization (mCNV) in a highly myopic eye before and after treatment. (a) OCT B-scan of an active mCNV shows a dome-shaped, hyperreflective subretinal lesion (white arrow); (b) OCTA image of the outer retinal segment shows a network of flow signals corresponding to the active mCNV; (c) OCT B-scan of the same eye after intravitreal injections with anti-vascular endothelial growth factor (VEGF) shows that the lesion had resolved; (d) OCTA image of the same eye after intravitreal injection with anti-VEGF shows almost complete resolution of vascular flow signals.
Figure 3OCT and OCTA images of the optic nerve head (ONH) of a highly myopic eye without glaucoma. (a) Fundus photograph of the ONH shows the tilted disc and peripapillary atrophy; (b) OCT B-scan shows the intrachoroidal cavitation (white arrow) below the optic nerve; (c) OCTA image of the ONH shows normal vascular flow signals around the ONH.
Recent research of OCT/OCTA-based AI in myopia and related complications. AUC, area under receiver operating characteristic curve; AI, artificial intelligence; ML, machine learning; DL, deep learning; CNN, convoluted neural network; loU, intersection over union; OCT, optical coherence tomography; EDI, enhanced depth imaging; MAE, mean absolute error; RMSE, root mean square error; mCNV, myopic choroidal neovascularization; MTM, myopic traction maculopathy; DSM, dome-shaped macula.
| Author | Title (Year) | Outcome Measures | Modalities | AI Models | Total Sample Sizes | Performance |
|---|---|---|---|---|---|---|
| Choi, KJ., et al. | Deep learning models for screening of high myopia using optical coherence tomography (2021) [ | Screening of high myopia | OCT images | DL-CNN | 690 eyes | AUC 0.86–0.99 |
| Yoo, TK., et al. | Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images (2021) [ | Prediction of uncorrected refractive error | OCT images | DL-CNN | 936 eyes | Detect high myopia: AUC 0.813 accuracy 71.4% |
| Li, Y., et al. | Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography images (2020) [ | Detection of retinoschisis, macular hole, retinal detachment, mCNV | OCT images | DL-CNN | 5505 images | AUC 0.961–0.999; sensitivity and specificity > 90% |
| Sogawa, T., et al. | Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography (2020) [ | Detection of myopic macular lesions (mCNV, retinoschisis) | Swept-source OCT | DL-CNN | 910 images | AUC 0.970; sensitivity 90.6%; specificity 94.2% |
| Cahyo, DA., et al. | Volumetric Choroidal Segmentation Using Sequential Deep Learning Approach in High Myopia Subjects (2020) [ | Choroidal volumetric segmentation | OCT images | DL-CNN | 40 eyes | LoU 0.92 |
| Wei, L., et al. | An Optical Coherence Tomography-Based Deep Learning Algorithm for Visual Acuity Prediction of Highly Myopic Eyes After Cataract Surgery (2021) [ | Prediction of BCVA after cataract surgery | OCT images | DL-CNN | 1415 eyes | MAE 0.1566 logMAR |
| Kamiya, K., et al. | Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics (2021) [ | Prediction of phakic intraocular lens vault | Anterior segment OCT metrics | ML | 1745 eyes | Significantly higher predictability of the ICL vault |
| Li, J., et al. | Automated Analysis of Choroidal Sublayer Morphologic Features in Myopic Children Using EDI-OCT by Deep Learning (2021) [ | Analysis of choroidal sublayer morphologic features | EDI-OCT | DL-CNN | 92 eyes | Accuracy 0.987 |
| Ye, X., et al. | Automatic Screening and Identifying Myopic Maculopathy on Optical Coherence Tomography Images Using Deep Learning (2021) [ | Detection of myopic maculopathy | OCT images | DL-CNN | 2342 images | AUC 0.927–0.974 |
| Du, R., et al. | Validation of Soft Labels in Developing Deep Learning Algorithms for Detecting Lesions of Myopic Maculopathy From Optical Coherence Tomographic Images (2021) [ | Detection of myopic maculopathy | OCT images | DL-CNN | 9176 images | AUC in mCNV, MTM, DSM were 0.985, 0.946, 0.978 |