研究目的
To characterize the time course of normal foveal development in vivo in term infants and young children using handheld spectral-domain optical coherence tomography (HH-SDOCT).
研究成果
Foveal development is a complex, nonlinear process that continues into adolescence, with specific trajectories for each retinal layer. The outer retinal layers and central macular thickness are strongly correlated with visual acuity. This normative data aids in diagnosing and monitoring pediatric retinal diseases.
研究不足
Variation in retinal layer thickness measurements may be due to normal biological variation or inaccuracies in segmentation, as indicated by previous reliability studies. The study is limited to term infants and may not fully represent premature foveal development. Additionally, the handheld OCT system requires operator skill to obtain high-quality scans.
1:Experimental Design and Method Selection:
The study used a cross-sectional and longitudinal design with handheld spectral-domain optical coherence tomography (HH-SDOCT) to image the fovea. Retinal layers were manually segmented using ImageJ software, and developmental trajectories were modeled using fractional polynomial regression analysis.
2:Sample Selection and Data Sources:
Participants included 261 term infants, children, and young adults (mean age
3:9 years, range 0–27 years) with no ocular, neurological, or metabolic abnormalities. Scans were obtained from the foveal region, and visual acuity was assessed using Teller acuity cards or logMAR optotypes. List of Experimental Equipment and Materials:
Handheld SDOCT system (Bioptigen Envisu System), ImageJ software for segmentation, Teller acuity cards for visual acuity measurement, and Stata software for statistical analysis.
4:Experimental Procedures and Operational Workflow:
OCT scans were performed without sedation, with infants positioned on a parent's lap or supine. Scans consisted of 100 B-scans and 500 A-scans per B-scan. Operators captured on-axis scans, which were exported to ImageJ for manual segmentation of retinal layers. Data were analyzed using fractional polynomial modeling and correlation with gestational age and visual acuity.
5:Data Analysis Methods:
Fractional polynomial regression was used to model developmental trajectories, and partial correlation coefficients were calculated between retinal layer thickness and visual acuity, controlling for age, using Stata software.
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