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Imaging Artifacts and Quality Evaluation with Ultrawide-Field Swept-Source OCTA in Diabetic Retinopathy. | LitMetric

AI Article Synopsis

  • The study aimed to assess how common and what types of artifacts appear in SS-OCTA scans among diabetic retinopathy patients, involving different stages of the disease and healthy controls.
  • Out of 70 eyes analyzed, nearly all (98.57%) showed at least one artifact, with 58.57% having severe artifacts, primarily loss of signal, displacement, and masking artifacts; severity of diabetic retinopathy significantly impacted the number of artifacts.
  • The findings highlight the importance of careful image evaluation in OCTA scans, as the severity of diabetic retinopathy correlates with higher artifact scores.

Article Abstract

Purpose: To evaluate the prevalence and types of artifacts in ultrawide-field swept-source optical coherence tomography angiography (SS-OCTA) scans of diabetic retinopathy (DR) patients.

Methods: This study was a prospective, observational study conducted from May 2022 to October 2022. Participants comprised individuals with proliferative diabetic retinopathy (PDR), nonproliferative diabetic retinopathy (NPDR), no diabetic retinopathy, and healthy controls. SS-OCTA imaging was performed, and a 5-scan composite with a larger field of view (23.5 mm × 17.5 mm) was captured using built-in software. Two experienced ophthalmologists analyzed the images independently, and the image quality and artifact prevalence were recorded and analyzed.

Results: The study included 70 eyes (16 with PDR, 24 with NPDR, 12 eyes of diabetic patients without DR, and 18 healthy eyes) in 70 subjects. Imaging artifacts were observed in a high percentage of eyes, with 98.57% of eyes presenting at least one type of artifact. A significant proportion of eyes (58.57%) exhibited a severe degree of artifacts. The most prevalent artifacts were loss of signal in 63 eyes (90%) and displacement artifact and masking artifact in 43 eyes (61.4%). Patients with more severe stages of DR had higher artifact scores ( < 0.05). Multivariate regression analysis indicated that DR severity was the most important factor influencing artifact scores ( < 0.05).

Conclusions: In OCTA photos, various artifacts arise at different frequencies. It is crucial to qualitatively evaluate the images to ensure their quality. The results demonstrate that DR severity has a significant correlation with artifact scores.

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Source
http://dx.doi.org/10.1080/02713683.2023.2296362DOI Listing

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