Introduction: The accuracy of retinal thickness measurement in age-related macular degeneration by optical coherence tomography (OCT) is affected by threshold algorithm line errors. The reproducibility of error correction in Stratus and Cirrus OCT should be examined.
Methods: OCT examinations of a consecutive series of 104 patients with neovascular age-related macular degeneration included in another study were reviewed. 72 eyes exhibited failures in Stratus OCT and 32 eyes in Cirrus OCT and were included in this new study. Algorithm line failures of Stratus OCT (retinal thickness program) and Cirrus OCT (Macular Cube 512×128 program) were corrected independently twice by two ophthalmologists and two residents, respectively, using the Stratus and Cirrus OCT built-in software. Reproducibility was assessed by the interclass correlation coefficient (ICC).
Results: The corrected values of central retinal thickness were significantly lower than the automated measured values in Stratus OCT for all examiners (p<0.001), while in Cirrus OCT the differences were not significant (p=0.06-0.09). For Stratus OCT, the ICC for central retinal thickness was 0.991 and 0.997 for the experienced ophthalmologists and 0.89 and 0.97 for the residents. For Cirrus OCT, the ICC was 1.0 and 1.0 for the experienced ophthalmologists and 0.99 and 0.95 for the residents.
Conclusion: The reproducibility of threshold algorithm line failure correction was good overall in Stratus and Cirrus OCT and can therefore be recommended to improve retinal thickness measurement, particularly when experienced examiners perform the corrections.
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http://dx.doi.org/10.1136/bjo.2010.194662 | DOI Listing |
PLoS One
December 2024
Department of Ophthalmology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America.
Objectives: Various imaging features on optical coherence tomography (OCT) are crucial for identifying and defining disease progression. Establishing a consensus on these imaging features is essential, particularly for training deep learning models for disease classification. This study aims to analyze the inter-rater reliability in labeling the quality and common imaging signatures of retinal OCT scans.
View Article and Find Full Text PDFOphthalmol Sci
October 2024
AIBILI - Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal.
Purpose: To evaluate the 6-month progression of retinal capillary perfusion in eyes with advanced stages of nonproliferative diabetic retinopathy (NPDR).
Design: RICHARD (NCT05112445), 2-year prospective longitudinal study.
Participants: Sixty eyes with Diabetic Retinopathy Severity Scale (DRSS) levels 43, 47, and 53 from 60 patients with type 2 diabetes.
Transl Vis Sci Technol
December 2024
Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands.
Purpose: Optical coherence tomography (OCT)-derived measurements of the optic nerve head (ONH) from different devices are not interchangeable. This poses challenges to patient follow-up and collaborative studies. Here, we present a device-agnostic method for the extraction of OCT biomarkers using artificial intelligence.
View Article and Find Full Text PDFEye (Lond)
November 2024
Department of Ophthalmology, University Hospital of Grenoble-Alpes, Grenoble, France.
J Clin Med
October 2024
Tufts Medical Center, Boston, MA 02111, USA.
: To evaluate the clinical performance of two optical coherence tomography angiography (OCTA) devices, including a semi-automated device, with respect to image quality and pathology detection, with fluorescein angiography (FA) and indocyanine green angiography (ICGA) serving as the reference standards. : In this prospective cross-sectional study, normal eyes and those with various retinal and choroidal pathologies were enrolled and underwent OCTA scanning using semi-automated 3D OCT-1 Maestro2 and Cirrus™ HD-OCT 5000 devices, as well as FA/ICGA imaging. OCTA scans and FA/ICGA images were independently graded for image quality and the visibility of prespecified anatomic vascular features, along with the presence or absence of pathology on the OCTA scans and the FA/ICGA images (within regions corresponding to the OCTA scan areas).
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