研究目的
To study the normal relationship between retinal vessel diameter (RVD) with retinal nerve fibre layer (RNFL) thickness and optic nerve head (ONH) parameters in a cohort of middle-aged Caucasians.
研究成果
Strong associations were found between larger retinal vessel diameters and thicker retinal nerve fibre layer thickness, as well as larger optic disc parameters, in middle-aged Caucasians. These findings provide normative values that can aid in future research on vascular etiology in eye and systemic diseases, such as glaucoma.
研究不足
The study has a cross-sectional design, limiting causal inferences. Few subjects had conditions like diabetes or hypertension, which might influence retinal circulation. Potential random errors, such as timing of photography relative to cardiac cycle, cannot be ruled out, though large sample size mitigates this.
1：Experimental Design and Method Selection:
A cross-sectional study design was used to investigate the relationship between RVD, RNFL thickness, and ONH parameters. Retinal vessel diameters were measured using a semi-automated computer-assisted program (IVAN software), and RNFL thickness and ONH parameters were assessed with Heidelberg retinal tomography (HRT). Statistical analyses included linear regression models adjusted for confounding factors.
2：Sample Selection and Data Sources:
The study population consisted of 3070 individuals (6140 eyes) from the Northern Finland Birth Cohort (NFBC) born in 1966, with data collected between 2012 and 2014. Inclusion criteria involved available HRT and fundus photo data, with exclusions for missing data or glaucoma. Final analysis included 2217 persons.
3：Inclusion criteria involved available HRT and fundus photo data, with exclusions for missing data or glaucoma. Final analysis included 2217 persons. List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Fundus camera (Canon CF-60DSi Digital Mydriatic Fundus Camera with Canon EOS-1Ds MK III SLR Digital Camera), IVAN software version 1.3 for vessel diameter measurement, Heidelberg Retina Tomograph (HRT3) for RNFL and ONH assessment, autorefractometer (Nidek AR-360A), rebound tonometer (iCare), and blood pressure measurement devices.
4：3 for vessel diameter measurement, Heidelberg Retina Tomograph (HRT3) for RNFL and ONH assessment, autorefractometer (Nidek AR-360A), rebound tonometer (iCare), and blood pressure measurement devices. Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Fundus photographs were taken after pupil dilation, and vessel diameters were measured using IVAN software by masked graders. HRT imaging was performed to assess RNFL thickness and ONH parameters, with manual definition of optic disc margins. Blood pressure, fasting glucose, BMI, smoking status, and other variables were measured or collected via questionnaires.
5：Data Analysis Methods:
Statistical analyses were performed using IBM SPSS Statistics version 24. Linear regression models were used to estimate relationships, adjusted for gender, BMI, mean arterial pressure, diabetes status, smoking status, optic disc area, spherical refraction, and intraocular pressure.
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Canon CF-60DSi Digital Mydriatic Fundus Camera
CF-60DSi
Canon
Used to obtain fundus photographs for retinal vessel diameter measurement.
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Canon EOS-1Ds MK III SLR Digital Camera
EOS-1Ds MK III
Canon
Attached to the fundus camera for digital imaging.
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Integrative Vessel Analysis software
IVAN version 1.3
Department of Ophthalmology and Visual Science, University of Wisconsin
Semi-automated system for measuring retinal vessel diameters from digitized retinal images.
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Heidelberg Retina Tomograph
HRT3
Heidelberg Engineering
Used for assessing retinal nerve fibre layer thickness and optic nerve head parameters through three-dimensional topography imaging.
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Autorefractometer
AR-360A
Nidek
Used for measuring refractive error.
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Rebound Tonometer
iCare
iCare
Used for measuring intraocular pressure.
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