Photodiagnosis and photodynamic therapy · 2025
Assessment of vascular tortuosity in 22q11.2 deletion syndrome using optical coherence tomography angiography.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Lucchino Luca, Armentano Marta, Visioli Giacomo, Beccia Alessandro, Albanese Giuseppe Maria, Mallone Fabiana, Putotto Carolina, Pulvirenti Federica, Gharbiya Magda, Lambiase Alessandro, Marenco Marco
Аннотация
PURPOSE: To quantify retinal vascular tortuosity and assess microvascular alterations in 22q11.2 deletion syndrome (22q11.2DS) using optical coherence tomography angiography (OCTA).
METHODS: This observational cross-sectional study analyzed 108 eyes from 27 patients with 22q11.2DS and 27 age- and sex-matched controls. OCTA parameters included vascular density in the superficial and deep capillary plexuses (SCP, DCP), radial peripapillary capillaries (RPC), and foveal avascular zone (FAZ). A skeletonized vascular model was generated from 6 mm × 6 mm OCTA images of the superficial plexus after Otsu binarization using Fiji (ImageJ). The vascular tortuosity index (VTI) was computed as the ratio of total vessel length to Euclidean distance via the AnalyzeSkeleton function. A generalized estimating equation (GEE) model accounted for intra-eye correlation, and a probit regression model identified OCTA predictors of 22q11.2DS.
RESULTS: OCTA revealed significantly lower vascular density in both SCP and DCP in 22q11.2DS patients. DCP density was reduced across all regions, including whole-image (p < 0.001), superior (p < 0.001), inferior (p < 0.001), and foveal regions (p = 0.020). No significant differences were found in FAZ area or RPC density. VTI was significantly higher in 22q11.2DS (p = 0.001). Probit regression identified DCP whole-image density (p = 0.009) and VTI (p = 0.028) as predictors of 22q11.2DS, with a pseudo-R² of 0.23.
CONCLUSIONS: VTI was identified as a predictor of 22q11.2DS, providing an objective measure of retinal vascular tortuosity. OCTA revealed previously unrecognized microvascular alterations, supporting its use as a non-invasive tool for vascular assessment in this population.
METHODS: This observational cross-sectional study analyzed 108 eyes from 27 patients with 22q11.2DS and 27 age- and sex-matched controls. OCTA parameters included vascular density in the superficial and deep capillary plexuses (SCP, DCP), radial peripapillary capillaries (RPC), and foveal avascular zone (FAZ). A skeletonized vascular model was generated from 6 mm × 6 mm OCTA images of the superficial plexus after Otsu binarization using Fiji (ImageJ). The vascular tortuosity index (VTI) was computed as the ratio of total vessel length to Euclidean distance via the AnalyzeSkeleton function. A generalized estimating equation (GEE) model accounted for intra-eye correlation, and a probit regression model identified OCTA predictors of 22q11.2DS.
RESULTS: OCTA revealed significantly lower vascular density in both SCP and DCP in 22q11.2DS patients. DCP density was reduced across all regions, including whole-image (p < 0.001), superior (p < 0.001), inferior (p < 0.001), and foveal regions (p = 0.020). No significant differences were found in FAZ area or RPC density. VTI was significantly higher in 22q11.2DS (p = 0.001). Probit regression identified DCP whole-image density (p = 0.009) and VTI (p = 0.028) as predictors of 22q11.2DS, with a pseudo-R² of 0.23.
CONCLUSIONS: VTI was identified as a predictor of 22q11.2DS, providing an objective measure of retinal vascular tortuosity. OCTA revealed previously unrecognized microvascular alterations, supporting its use as a non-invasive tool for vascular assessment in this population.