2020
DOI: 10.1016/j.oret.2019.11.018
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Comparison of Automated versus Manually Modified OCT Angiography En Face Slabs for Detection of Choroidal Neovascularization

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Cited by 9 publications
(11 citation statements)
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“…The lack of detection of low flow rates still represents a major limitation in OCT-A technology [49]; however, the continuous evolution of new algorithms will soon allow us to solve this problem. The wide variability in flow-sensibility among different types of OCT-A devices should be kept in mind when evaluating patients in everyday clinical practice [50].…”
Section: Discussionmentioning
confidence: 99%
“…The lack of detection of low flow rates still represents a major limitation in OCT-A technology [49]; however, the continuous evolution of new algorithms will soon allow us to solve this problem. The wide variability in flow-sensibility among different types of OCT-A devices should be kept in mind when evaluating patients in everyday clinical practice [50].…”
Section: Discussionmentioning
confidence: 99%
“…Because the morphologic changes in the retina often lead to incorrect segmentation impeding MNV depiction, all B scans depicting the MNV were checked and the segmentation lines were manually adjusted in each B scan whenever necessary. 14 The images were exported to ImageJ (National Institutes of Health, Bethesda, MD), where MNV were manually demarcated in the en-face OCTA images and isolated from the surrounding tissues using the polygon selection tool. The B scans of the respective device were used to help delineate the MNV precisely.…”
Section: Methodsmentioning
confidence: 99%
“…In cases where segmentation artifacts made it difficult to visualize the entire CNVM complex, manual segmentation was done using tools in the software and custom slabs were created to visualize the CNVM in its entirety, as per protocols described by Siggel et al [16].…”
Section: Optical Coherence Tomography Angiographymentioning
confidence: 99%
“…We found that automated segmentation provided by the machine was reliable in less than half the cases in our series. In an excellent study published recently, Siggel et al studied 102 eyes to determine the sensitivity and specificity of automated versus manually segmented OCTA images to detect presence of CNVM [16]. They showed that automated slabs at the ORCC had the highest ability to detect CNVM compared to the gold standard FFA, while slabs at the choriocapillaris level had the lowest.…”
Section: Plos Onementioning
confidence: 99%