Prevalences of segmentation errors and motion artifacts in OCT-angiography differ among retinal diseases
- 362 Downloads
To assess the prevalences of segmentation errors and motion artifacts in optical coherence tomography angiography (OCT-A) in different retinal diseases
In a retrospective analysis, multimodal retinal imaging including OCT-A was performed in one eye of 57 healthy controls (50.96 ± 22.4 years) and 149 patients (66.42 ± 14.1 years) affected by different chorioretinal diseases: early/intermediate age-related macular degeneration (AMD; n = 26), neovascular AMD (nAMD; n = 22), geographic atrophy due to AMD (GA; n = 6), glaucoma (n = 28), central serous chorioretinopathy (CSC; n = 14), epiretinal membrane (EM; n = 26), retinal vein occlusion (RVO; n = 11), and retinitis pigmentosa (RP; n = 16). Central 3 × 3 mm2 OCT-A imaging was performed with active eye-tracking (AngioVue, Optovue). Best-corrected visual acuity (BCVA) and signal strength index (SSI) were recorded. Images were independently evaluated by two graders using the OCT-A motion artifact score (MAS; scores I–IV) as well as a newly introduced segmentation accuracy score (SAS; score I–IIB).
Mean SSI was 63.67 ± 9.2 showing a negative correlation with increasing age (rSp = − 0.42, p < 0.001, n = 206). In the healthy cohort, mean MAS was 1.45 ± 0.8 and segmentation was accurate (SAS I) in all eyes. In eyes with retinal pathologies, mean MAS was 2.1 ± 0.9 (p < 0.001). Lowest MAS was observed in GA (2.67 ± 0.5) and RVO (2.45 ± 1.1). Compared to an accurate segmentation in 100% in healthy subjects, 34.2% (n = 51) of all patients showed highest segmentation quality (p < 0.001). 63.8% showed segmentation errors in more than 5% of all single b-scans in one (SAS IIA, n = 58) or at least two (SAS IIB, n = 40) segmentation boundaries. Highest percentages of inaccurate segmentation (SAS IIA or IIB) were observed in the nAMD group (90.1%). The inner plexiform layer was the segmentation boundary most prone to inaccurate segmentation in all pathologies compared to the inner limiting membrane (ILM) and retinal pigment epithelium (RPE) segmentation layer. Incorrect ILM segmentation was only seen in patients with EM.
Prior to both qualitative and quantitative analysis, OCT-A images must be carefully reviewed as motion artifacts and segmentation errors in current OCT-A technology are frequent particularly in pathologically altered maculae.
KeywordsAge-related macular degeneration OCT-angiography Optical coherence tomography angiography Spectral-domain optical coherence tomography Eye tracking Image artifacts Motion artifacts Image quality Segmentation
Compliance with ethical standards
Conflict of interest
The authors declare that they have no competing interests.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
For this type of study, formal consent is not required.
- 3.Say EA, Ferenczy S, Magrath GN, Samara WA, Khoo CT, Shields CL (2017) Image quality and artifacts on optical coherence tomography angiography: comparison of pathologic and paired fellow eyes in 65 patients with unilateral choroidal melanoma treated with plaque radiotherapy. Retina 37(9):1660–1673CrossRefPubMedGoogle Scholar
- 19.Onishi AC, Ashraf M, Soetikno BT, Fawzi AA (2018) Multilevel ischemia in disorganization of the retinal inner layers on projection-resolved optical coherence tomography angiography. Retina. https://doi.org/10.1097/IAE.0000000000002179
- 27.Muftuoglu IK, Ramkumar HL, Bartsch DU, Meshi A, Gaber R, Freeman WR (2017) Quantitative analysis of the inner retinal layer thickness in age-related macular degeneration using corrected optical coherence tomography segmentation. Retina. https://doi.org/10.1097/IAE.0000000000001759
- 29.Lang A, Carass A, Bittner AK, Ying HS, Prince JL (2017) Improving graph-based OCT segmentation for severe pathology in retinitis pigmentosa patients. Proc SPIE Int Soc Opt Eng 10137Google Scholar