Clinical utility of swept-source optical coherence tomography angiography for the diagnosis of exudative maculopathy
Purpose To assess the feasibility of swept-source optical coherence tomography angiography (SS-OCTA) to differentiate macular diseases, including nonpolypoidal macular neovascularization (MNV), polypoidal choroidal vasculopathy (PCV), type 3 MNV, and chronic central serous chorioretinopathy (CSC) wi...
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Veröffentlicht in: | Japanese journal of ophthalmology 2024-08, Vol.68 (6), p.614-620 |
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Sprache: | eng |
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Zusammenfassung: | Purpose
To assess the feasibility of swept-source optical coherence tomography angiography (SS-OCTA) to differentiate macular diseases, including nonpolypoidal macular neovascularization (MNV), polypoidal choroidal vasculopathy (PCV), type 3 MNV, and chronic central serous chorioretinopathy (CSC) without indocyanine green angiography (ICGA).
Study design
Retrospective observational study.
Methods
This study examined 63 eyes of 63 patients with treatment-naive neovascular age-related macular degeneration (AMD), including 23 eyes with nonpolypoidal MNV, 17 eyes with PCV, and 1 eye with type 3 MNV and 22 eyes with chronic CSC. Two independent retina specialists, blinded to the clinical diagnosis, assessed each case of neovascular AMD and chronic CSC using only B-scan and en face images of SS-OCTA without referring to other examination outcomes.
Results
By SS-OCTA alone, 19 eyes were diagnosed with nonpolypoidal MNV, 17 eyes with PCV, 2 eyes with type 3 MNV, and 22 eyes with chronic CSC, indicating high sensitivity (82.6%, 94.1%, 100%, and 100%, respectively) and specificity (100%, 97.8%, 98.4%, and 100%, respectively); however, three eyes could not be diagnosed because of obscure images. The agreement of diagnosis with SS-OCTA alone was high between the two specialists (κ = 0.82).
Conclusion
SS-OCTA showed high sensitivity and specificity in the differentiation of nonpolypoidal MNV, PCV, type 3 MNV, and chronic CSC. The differential criteria based on SS-OCTA could be a substitute for the ICGA-based diagnoses. |
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ISSN: | 0021-5155 1613-2246 1613-2246 |
DOI: | 10.1007/s10384-024-01115-w |