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Quantitative Optical Coherence Tomography Detection of New Neovascular Branches and Association With Exudation Recurrence in Neovascular Age-Related Macular Degeneration.
- Source :
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Investigative ophthalmology & visual science [Invest Ophthalmol Vis Sci] 2024 Jun 03; Vol. 65 (6), pp. 30. - Publication Year :
- 2024
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Abstract
- Purpose: The purpose of this study was to investigate the clinical role of multi-signal quantitative optical coherence tomography angiography (OCTA) perfusion sampling in neovascular age-related macular degeneration (AMD).<br />Methods: The study was designed as a cross-sectional case series. We collected data from already treated macular neovascularization (MNV), characterized by (I) clinically relevant recurrent exudation, (II) nonclinically relevant recurrent exudation, and (III) inactive lesion. We proposed a new OCTA metric, calculating the gap between high-resolution (HR) and high-speed (HS) OCTA samplings, hypothesizing that this gap might improve the detection of new secondary MNV branches, being also associated with exudation recurrence. Main outcome measures were the HR-HS gap-based categorization of MNV lesions and the assessment of its association with exudative, minimally exudative, and inactive lesions.<br />Results: Our cohort (which consisted of 32 MNV eyes; 32 patients; mean disease duration 5 years) was classified as type 1 (17; 53%), type 2 (11; 34%), or mixed type (4; 13%) MNV. Subretinal fibrosis was found in 17 out of 32 eyes (53%), whereas outer retinal atrophy involved 22 of 32 eyes (69%). HR-HS MNV gap was significantly different among MNV subgroups: 18% for the exudative subgroup, 12% for the minimally exudative subgroup, and 4% for the inactive subgroup. HR-HS gap significantly correlated with best corrected visual acuity (BCVA), disease duration, fibrosis, and outer retinal atrophy.<br />Conclusions: HR-HS gap is a novel quantitative metric to detect the secondary novel branches of AMD-related MNV. This parameter is clinically relevant because it is associated with fluid recurrence. The integration of HR-HS gap in artificial intelligence models might help to predict MNV reactivation and to optimize treatment strategies.
- Subjects :
- Humans
Male
Female
Cross-Sectional Studies
Aged
Aged, 80 and over
Angiogenesis Inhibitors therapeutic use
Fundus Oculi
Retrospective Studies
Middle Aged
Exudates and Transudates
Tomography, Optical Coherence methods
Wet Macular Degeneration diagnosis
Fluorescein Angiography methods
Recurrence
Visual Acuity physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1552-5783
- Volume :
- 65
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Investigative ophthalmology & visual science
- Publication Type :
- Academic Journal
- Accession number :
- 38899961
- Full Text :
- https://doi.org/10.1167/iovs.65.6.30