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投影伪影去除可改善光学相干断层扫描血管造影成像的黄斑新生血管的可视化和定量分析。

Projection artifact removal improves visualization and quantitation of macular neovascularization imaged by optical coherence tomography angiography.

作者信息

Zhang Qinqin, Zhang Anqi, Lee Cecilia S, Lee Aaron Y, Rezaei Kasra A, Roisman Luiz, Miller Andrew, Zheng Fang, Gregori Giovani, Durbin Mary K, An Lin, Stetson Paul F, Rosenfeld Philip J, Wang Ruikang K

机构信息

University of Washington, Department of Bioengineering, Seattle, Washington.

University of Washington, Department of Ophthalmology, Seattle, Washington.

出版信息

Ophthalmol Retina. 2017 Mar-Apr;1(2):124-136. doi: 10.1016/j.oret.2016.08.005.

DOI:10.1016/j.oret.2016.08.005
PMID:28584883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5455345/
Abstract

PURPOSE

To visualize and quantify the size and vessel density of macular neovascularization (MNV) using optical coherence tomography angiography (OCTA) with a projection artifact removal algorithm.

DESIGN

Multicenter, observational study.

PARTICIPANTS

Subjects with MNV in at least one eye.

METHODS

Patients were imaged using either a swept-source OCT angiography (SS-OCTA) prototype system or a spectral-domain OCT angiography (SD-OCTA) prototype system. The optical microangiography (OMAG) algorithm was used to generate the OCTA images. Projection artifacts from the overlying retinal circulation were removed from the OMAG OCTA images using a novel algorithm. Following removal of the projection artifacts from the OCTA images, we assessed the size and vascularity of the MNV. Concurrent fluorescein angiography (FA) and indocyanine green angiography (ICGA) images were used to validate the artifact-free OMAG images whenever available.

MAIN OUTCOME MEASURES

Size and vascularity of MNV imaged with OCTA before and after the use of a projection-artifact removal algorithm.

RESULTS

A total of 30 subjects (40 eyes) diagnosed with MNV were imaged. Five patients were imaged before and after intravitreal injections of vascular endothelial growth factor (VEGF) inhibitors. Following the use of the projection artifact removal algorithm, we found improved visualization of the MNV. Lesion sizes and vascular densities were more easily measured on all the artifact-free OMAG images. In eyes treated with vascular endothelial growth factor inhibitors, vascular density was reduced in all five eyes after treatment, and in four eyes, the size of the MNV decreased. One of five patients showed a slight increase in lesion size, but a decrease in vascular density.

CONCLUSIONS

OCTA imaging of MNV using the OMAG algorithm combined with removal of projection artifacts resulted in improved visualization and measurements of the neovascular lesions. OMAG with projection artifact removal should be useful for assessing the response of MNV to treatment using OCTA imaging.

摘要

目的

使用具有投影伪影去除算法的光学相干断层扫描血管造影(OCTA)来可视化并量化黄斑新生血管(MNV)的大小和血管密度。

设计

多中心观察性研究。

参与者

至少一只眼睛患有MNV的受试者。

方法

使用扫频源OCT血管造影(SS - OCTA)原型系统或谱域OCT血管造影(SD - OCTA)原型系统对患者进行成像。光学微血管造影(OMAG)算法用于生成OCTA图像。使用一种新算法从OMAG OCTA图像中去除来自上方视网膜循环的投影伪影。在从OCTA图像中去除投影伪影后,我们评估了MNV的大小和血管情况。只要有条件,同时使用荧光素血管造影(FA)和吲哚菁绿血管造影(ICGA)图像来验证无伪影的OMAG图像。

主要观察指标

使用投影伪影去除算法前后通过OCTA成像的MNV的大小和血管情况。

结果

共对30例(40只眼)诊断为MNV的受试者进行了成像。5例患者在玻璃体内注射血管内皮生长因子(VEGF)抑制剂前后进行了成像。使用投影伪影去除算法后,我们发现MNV的可视化效果得到改善。在所有无伪影的OMAG图像上,病变大小和血管密度更易于测量。在用血管内皮生长因子抑制剂治疗的眼中,治疗后所有5只眼的血管密度均降低,4只眼的MNV大小减小。5例患者中有1例病变大小略有增加,但血管密度降低。

结论

使用OMAG算法结合去除投影伪影的OCTA成像可改善新生血管病变的可视化和测量。去除投影伪影的OMAG对于使用OCTA成像评估MNV对治疗的反应应是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/3d4ccca55e26/nihms830278f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/3ee9c57b790d/nihms830278f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/9758b70b83f6/nihms830278f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/6da444ae4410/nihms830278f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/edcdf776dafd/nihms830278f6.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/5dca27e01858/nihms830278f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/3d4ccca55e26/nihms830278f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/3ee9c57b790d/nihms830278f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/abdc5feadae0/nihms830278f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/abaf4aa5bd18/nihms830278f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/9758b70b83f6/nihms830278f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/6da444ae4410/nihms830278f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/edcdf776dafd/nihms830278f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/5e54f3f2e512/nihms830278f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/c9b9befbb0bd/nihms830278f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/5dca27e01858/nihms830278f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77ea/5455345/3d4ccca55e26/nihms830278f10.jpg

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