Long-Term Natural Outcomes of Simple Hemorrhage Associated with Lacquer Crack in High Myopia: A Risk Factor for Myopic CNV?

Liu, Bing; Zhang, Xiongze; Mi, Lan; Chen, Ling; Wen, Feng

doi:10.1155/2018/3150923

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…[23] found a high prevalence (70%) of perforating vessels beneath m-MNV by means of structural OCT, confirming the previous assertion. At the same time, the mechanical stretch determined by perforating vessels is the major cause of IMH [24].…”

Section: Discussionmentioning

confidence: 99%

Discerning Between Macular Hemorrhages Due to Macular Neovascularization or Due to Spontaneous Bruch’s Membrane Rupture in High Myopia: A Comparative Analysis Between OCTA and Fluorescein Angiography

et al. 2022

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Introduction: To evaluate the sensitivity and specificity of optical coherence tomography angiography (OCTA) in comparison to fluorescein angiography (FA) in discerning between macular hemorrhages due to myopic macular neovascularization (m-MNV) and idiopathic macular hemorrhage (IMH) in patients with high myopia (HM). Methods: In this retrospective study, 14 eyes of 14 patients (mean age 60 ± 16 years) affected by macular hemorrhage due to HM were included. All patients underwent OCTA and FA at the time of macular hemorrhage (i.e., baseline) and were followed for a 3-month followup. Results: By means of FA, 8 out of 14 eyes with macular hemorrhage (57%) were diagnosed as type 2 m-MNV, whereas 6 eyes (43%) were diagnosed as IMH. Interestingly, OCTA displayed the presence of a neovascular network in all cases previously diagnosed as m-MNV using FA, and also excluded the presence of anomalous flow in all IMH eyes. This accounted for the high sensitivity and specificity of OCTA for m-MNV detection in HM cases with macular hemorrhage. After 3-month follow-up, BCVA improved from 0.39 ± 0.15 to 0.21 ± 0.14 logMAR (p = 0.006) in patients with m-MNV treated by a mean of 2.3 ± 0.9 intravitreal anti-VEGF injections. Conversely, BCVA improved without treatment (from 0.55 ± 0.48 to 0.17 ± 0.08 logMAR, p = 0.112) in patients with IMH. Conclusions: OCTA is able to differentiate with excellent reliability between the presence of m-MNV in patients with HM presenting with a new macular hemorrhage and an IMH. This could be of paramount relevance in the clinical setting for the diagnosis and treatment of patients with HM.

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Section: Discussionmentioning

confidence: 99%

Discerning Between Macular Hemorrhages Due to Macular Neovascularization or Due to Spontaneous Bruch’s Membrane Rupture in High Myopia: A Comparative Analysis Between OCTA and Fluorescein Angiography

et al. 2022

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“…Finally, mCNV and retinal hemorrhage showed similar findings in SS-OCT images. Therefore, data from sources other than OCT images are required to distinguish these conditions [56,57].…”

Section: Plos Onementioning

confidence: 99%

Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography

Sogawa¹,

Tabuchi

Nagasato

et al. 2020

PLoS ONE

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This study examined and compared outcomes of deep learning (DL) in identifying sweptsource optical coherence tomography (OCT) images without myopic macular lesions [i.e., no high myopia (nHM) vs. high myopia (HM)], and OCT images with myopic macular lesions [e.g., myopic choroidal neovascularization (mCNV) and retinoschisis (RS)]. A total of 910 SS-OCT images were included in the study as follows and analyzed by k-fold cross-validation (k = 5) using DL's renowned model, Visual Geometry Group-16: nHM, 146 images; HM, 531 images; mCNV, 122 images; and RS, 111 images (n = 910). The binary classification of OCT images with or without myopic macular lesions; the binary classification of HM images and images with myopic macular lesions (i.e., mCNV and RS images); and the ternary classification of HM, mCNV, and RS images were examined. Additionally, sensitivity, specificity, and the area under the curve (AUC) for the binary classifications as well as the correct answer rate for ternary classification were examined. The classification results of OCT images with or without myopic macular lesions were as follows: AUC, 0.970; sensitivity, 90.6%; specificity, 94.2%. The classification results of HM images and images with myopic macular lesions were as follows: AUC, 1.000; sensitivity, 100.0%; specificity, 100.0%. The correct answer rate in the ternary classification of HM images, mCNV images, and RS images were as follows: HM images, 96.5%; mCNV images, 77.9%; and RS, 67.6% with mean, 88.9%.Using noninvasive, easy-to-obtain swept-source OCT images, the DL model was able to classify OCT images without myopic macular lesions and OCT images with myopic macular lesions such as mCNV and RS with high accuracy. The study results suggest the possibility of conducting highly accurate screening of ocular diseases using artificial intelligence, which may improve the prevention of blindness and reduce workloads for ophthalmologists.

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Management of Submacular Hemorrhage

Pertile

Maggio

2021

Cutting-Edge Vitreoretinal Surgery

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Long-Term Natural Outcomes of Simple Hemorrhage Associated with Lacquer Crack in High Myopia: A Risk Factor for Myopic CNV?

Cited by 6 publications

References 26 publications

Discerning Between Macular Hemorrhages Due to Macular Neovascularization or Due to Spontaneous Bruch’s Membrane Rupture in High Myopia: A Comparative Analysis Between OCTA and Fluorescein Angiography

Discerning Between Macular Hemorrhages Due to Macular Neovascularization or Due to Spontaneous Bruch’s Membrane Rupture in High Myopia: A Comparative Analysis Between OCTA and Fluorescein Angiography

Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography

Management of Submacular Hemorrhage

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