Optical Coherence Tomography Angiography in Macular Neovascularization: A Comparison Between Different OCTA Devices.
Transl Vis Sci Technol
; 9(11): 6, 2020 10.
Article
em En
| MEDLINE
| ID: mdl-33101783
ABSTRACT
Purpose:
The purpose of this study is to compare the ability of 3 optical coherence tomography angiography (OCTA) devices to measure lesion area in patients with macular neovascularization (MNV) with type 1, 2 and mixed neovascularization (NV).Methods:
OCTA, fluorescein angiography (FA), indocyanine green angiography (ICGA), and structural optical coherence tomography (OCT) were performed. NV lesion area measurements were performed by two graders.Results:
Twenty-eight eyes were included 20 with NV were classified as type 1, 6 as type 2, and 2 as mixed type. AngioVue and Spectralis detected the NV in 26 out of 28 eyes (92.8%). The intraclass correlation coefficient (ICC) between readers for the three different OCTA with the different slabs was high. The NV area was larger in the outer retina to choriocapillaris (ORCC) and choriocapillaris (CC) images for the AngioVue device and the PLEX Elite device compared to avascular images (P < 0.05). The mean values of the NV area were not significantly different among the three instruments (Friedman test, P > 0.05) for the avascular zone (AV), ORCC, and CC images. Median (interquartile range [IQR]) NV were significantly different among avascular images, ORCC images, and CC images of the AngioVue device (P = 0.046), of the Spectralis device (P = 0.015), and the PLEX Elite device (P < 0.001).Conclusions:
The ORCC slabs showed the highest detection rate for NV detection independently to the device used, and swept source (SS)-OCTA measurements of ORCC slabs showed the highest detection rate of NVs compared to the spectral domain (SD)-OCTA. Translational Relevance It is pivotal to realize how much we can rely on OCTA to make a diagnosis of NV.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Neovascularização de Coroide
/
Tomografia de Coerência Óptica
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article