Five-Year Outcomes of Intravitreal Ranibizumab for Choroidal Neovascularization in Patients With Pathologic Myopia

Onishi, Yuka; Yokoi, Tae; Kasahara, Kaori; Yoshida, Takeshi; Nagaoka, Natsuko; Shinohara, Kosei; Kaneko, Yuichiro; Suga, Mitsuki; Uramoto, Kengo; Ohno-Tanaka, Akiko; Ohno‐Matsui, Kyoko

doi:10.1097/iae.0000000000002164

Cited by 25 publications

(24 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This defect in Bruch's membrane may continue to expand in spite of adequate treatment of myopic CNV, leading to macular atrophy and loss of vision [16]. This point was demonstrated in a 5-year outcome study of eyes with myopic CNV treated with intravitreal ranibizumab (n = 51), in which visual stability was achieved (baseline best corrected visual acuity 20/49 compared to 20/42) at 5 years, where good visual outcome was shown to be significantly associated with a lack of enlargement of CNVrelated macular atrophy, in addition to better baseline visual acuity and a lower number of injections [79]. These outcomes were achieved with a mean of 1.6 injections over 5 years, and two-thirds received only 1 injection.…”

Section: Long-term Outcomesmentioning

confidence: 92%

“…Although anti-VEGF therapy for myopic CNV has demonstrated remarkable short-and mid-term efficacy, longer term visual outcomes are generally less favorable, with most studies reporting a gradual decline back to baseline visual acuity [60,61,[75][76][77][78][79]. Onishi et al reported the 5-year outcomes of 51 patients who received treatment with ranibizumab for myopic CNV.…”

Section: Long-term Outcomesmentioning

confidence: 99%

See 1 more Smart Citation

Clinical Management of Myopia in Adults: Treatment of Myopic CNV

2019

View full text Add to dashboard Cite

Myopic choroidal neovascularization (myopic CNV), a subtype of CNV associated with pathological myopia, is the second most common cause of CNV after age-related macular degeneration (AMD) [1,2]. Compared to CNV secondary to AMD, key differences include occurrence in a younger age group, less prominent exudative and hemorrhagic changes, generally smaller choroidal Key Points ≥49 years 44 (67) 6.0%-CNV 1.5%-Fuchs' spot The Beijing Eye Study "Myopic retinopathy" Fuchs' spot ≥40 years 132 (198) 1.5% PM pathological myopia, AL axial length, CNV choroidal neovascularization S. Sim et al.

show abstract

Section: Long-term Outcomesmentioning

confidence: 92%

Section: Long-term Outcomesmentioning

confidence: 99%

Clinical Management of Myopia in Adults: Treatment of Myopic CNV

2019

View full text Add to dashboard Cite

show abstract

“…With the advancement of such OCT technology, research on myopic macular diseases such as RS and mCNV, which are directly related to decreased visual function, has progressed dramatically. Studies using OCT have shown that early surgical intervention is important for the maintenance of long-term visual function in the context of RS [10][11][12][13][14][15] and that early anti-vascular endothelial growth factor drug administration can help to maintain long-term visual function in mCNV [16][17][18][19][20]. Therefore, early detection and treatment of macular lesions associated with myopia are crucial to maintaining better vision.…”

Section: Introductionmentioning

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

View full text Add to dashboard Cite

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.

show abstract

“…With the advancement of such OCT technology, research on myopic macular diseases such as RS and mCNV, which are directly related to decreased visual function, has progressed dramatically. Studies using OCT have shown that early surgical intervention is important for the maintenance of long-term visual function in the context of RS [10–15] and that early anti–vascular endothelial growth factor drug administration can help to maintain long-term visual function in mCNV [16–20]. Therefore, early detection and treatment of macular lesions associated with myopia are crucial to maintaining better vision.…”

Section: Introductionmentioning

confidence: 99%

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

Sogawa

Tabuchi

Nagasato

et al. 2019

Preprint

View full text Add to dashboard Cite

AbstractThis study examined and compared outcomes of deep learning (DL) in identifying swept-source 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 796 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, 107 images; HM, 456 images; mCNV, 122 images; and RS, 111 images (n = 796). 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, 0.983; sensitivity, 0.953; specificity, 0.940. The classification results of HM images and images with myopic macular lesions were as follows: AUC, 0.976; sensitivity, 0.940; specificity, 0.941. The correct answer rate in the ternary classification of HM images, mCNV images, and RS images were as follows: HM images, 93.7%; mCNV images, 82.4%; and RS, 92.3% with mean, 91.4%. 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.

show abstract

Five-Year Outcomes of Intravitreal Ranibizumab for Choroidal Neovascularization in Patients With Pathologic Myopia

Abstract: Intravitreal ranibizumab provide a 5-year visual benefit in eyes with myopic CNV compared with the natural course. A lack of enlargement of the CNV-related macular atrophy, a better baseline BCVA, and a minimum number of IVR injections were associated with better visual outcomes.

Cited by 25 publications

References 21 publications

Clinical Management of Myopia in Adults: Treatment of Myopic CNV

Clinical Management of Myopia in Adults: Treatment of Myopic CNV

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

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

Contact Info

Product

Resources

About