Purpose: To describe and clarify a possible pathogenetic origin for choroidal caverns in young healthy individuals through a topographical analysis using swept-source optical coherence tomography angiography (SS-OCTA). Methods: A cross-sectional evaluation of 44 healthy volunteers (44 eyes), aged 20–32 years with no systemic or ocular comorbidities. The topographical analysis of choroidal caverns was performed through a 15 × 15 mm volumetric scan cube using SS-OCTA (PLEX Elite 9000). The number, topographic localization within the perifovea and midperipheral retina, as well as the density of choroidal caverns in the area with the highest number, were analyzed. Factors influencing the presence of choroidal caverns were identified using a logistic regression model. Results: The overall prevalence of choroidal caverns was 18.2% in our cohort. The subjects exhibiting choroidal caverns presented a greater AXL (+1.19 mm, 95%CI: 0.09, 2.29). Areas with the highest density of caverns presented an average of 1.98 ± 1.01 caverns/mm2. On a qualitative evaluation, the area with the highest density was along the inferior vascular arcade in 6/8 (75%) eyes. The main predictor of choroidal cavern development was represented by AXL (adjusted risk ratio of 2.13, P = 0.02). Conclusion: Choroidal caverns in young, healthy individuals may form due to mechanical stress in predisposed eyes, where an increased lateral and anteroposterior choroidal stretching due to globe elongation can result in the formation of these cavities. Future longitudinal studies are encouraged to understand their prognostic implications.
Characterization and topographical analysis of choroidal caverns in young and healthy individuals
Parravano, Mariacristina;
2024-01-01
Abstract
Purpose: To describe and clarify a possible pathogenetic origin for choroidal caverns in young healthy individuals through a topographical analysis using swept-source optical coherence tomography angiography (SS-OCTA). Methods: A cross-sectional evaluation of 44 healthy volunteers (44 eyes), aged 20–32 years with no systemic or ocular comorbidities. The topographical analysis of choroidal caverns was performed through a 15 × 15 mm volumetric scan cube using SS-OCTA (PLEX Elite 9000). The number, topographic localization within the perifovea and midperipheral retina, as well as the density of choroidal caverns in the area with the highest number, were analyzed. Factors influencing the presence of choroidal caverns were identified using a logistic regression model. Results: The overall prevalence of choroidal caverns was 18.2% in our cohort. The subjects exhibiting choroidal caverns presented a greater AXL (+1.19 mm, 95%CI: 0.09, 2.29). Areas with the highest density of caverns presented an average of 1.98 ± 1.01 caverns/mm2. On a qualitative evaluation, the area with the highest density was along the inferior vascular arcade in 6/8 (75%) eyes. The main predictor of choroidal cavern development was represented by AXL (adjusted risk ratio of 2.13, P = 0.02). Conclusion: Choroidal caverns in young, healthy individuals may form due to mechanical stress in predisposed eyes, where an increased lateral and anteroposterior choroidal stretching due to globe elongation can result in the formation of these cavities. Future longitudinal studies are encouraged to understand their prognostic implications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.