Abstract
Purpose.:
Although corneal power and axial length are known to be inversely correlated, the biological determinants of corneal power are unknown.
To elucidate this correlation further, study authors investigated the relationships among corneal power, corneal diameter, anterior chamber diameter, and axial length in a sample of human adults.
Methods.:
The eyes of 61 subjects seen consecutively in an eye clinic were studied with a high-resolution optimal coherence tomography (OCT) pachymetry device and ophthalmic optical biometer. The relationships between corneal power, white-to-white (WTW) corneal diameter, anterior chamber diameter, and axial length were assessed with Pearson correlations.
Results.:
The mean age of the 61 subjects was 48.7 ± 19.4 years. Corneal power was negatively correlated with axial length (r = −0.303, P < 0.01); WTW corneal diameter (r = −0.399, P < 0.001); and most interestingly, anterior chamber diameter (r = −0.646, P < 0.001). There was also a positive correlation between anterior chamber diameter and axial length (r = 0.489, P < 0.001).
Conclusions.:
Greater anterior chamber diameters were associated with flatter corneas and, conversely, smaller anterior chamber diameters with steeper corneas. The growth patterns of the anterior segment may be determinants of corneal power.
Subjects were enrolled in this study, without selection for ocular or visual characteristics, as consecutive outpatients coming for an eye examination at the Special Studies Section of Pförtner Laboratory. The investigative procedures were explained and all subjects gave informed consent for the eye examination. The tenets of the Declaration of Helsinki were followed. The institution's review board decided that approval was not required for this study. For statistical reasons, only the right eye of each subject was measured. The usual distance correction was measured in a lensometer in the case of subjects who used lenses.
Biometrics of the anterior chamber and the cornea were obtained by noninvasive, clinical imaging methods.
Horizontal anterior chamber diameter was determined by OCT anterior segment imaging (Visante OCT; Carl Zeiss, Oberkochen, Germany), using calipers in the imaging software to measure the distance from angle to angle (
Fig. 1).
Keratometry, WTW corneal diameter, and axial length measurements were performed with an ophthalmic optical biometer (IOLMaster 500; Carl Zeiss).
Corneal power, WTW corneal diameter, anterior chamber diameter, and axial length were normally distributed (Kolmogorov-Smirnov test). Therefore, they were correlated in pairs with Pearson correlation analysis, and correlation coefficients (r) were calculated. All P values were considered statistically significant for P < 0.05. Variables that were significantly correlated with corneal power (P < 0.05) were studied with multiple stepwise regression analysis, to establish which ones remained significant in the model. Commercially available software was used for the analysis (SPSS; SPSS Inc., Chicago, IL). Values presented are means ± standard deviations.
There were 61 subjects, with a mean age of 48.7 ± 19.4 years; 41 of them (67.2%) were women. The mean spherical equivalent refractive error was +0.11 ± 2.92 diopters (D), ranging from −11.50 to +4.75 D; the refractive errors of 28 subjects (45.9%) were in the emmetropic range, from −0.50 to +1 D.
The mean corneal astigmatism was −1.07 ± 0.66 D, with 13 subjects (21.3%) having astigmatism greater than −1.5 D (maximum: −2.91 D). The means and standard deviations were: corneal power = 43.76 ± 1.21 D; axial length = 23.59 ± 1.35 mm; WTW corneal diameter = 11.97 ± 0.38 mm; and anterior chamber diameter = 11.94 ± 0.51 mm. No sex-specific differences were found in corneal diameter or anterior chamber diameter.
According to the Pearson correlations between the ocular parameters (
Table 1), corneal power was negatively correlated with axial length, WTW corneal diameter, and anterior chamber diameter, while axial length was positively correlated with WTW corneal diameter and anterior chamber diameter. The correlations of corneal power and axial length with anterior chamber diameter were more robust than those with WTW corneal diameter. A scatter plot of the correlation between WTW corneal and anterior chamber diameters (
Fig. 2) shows that, although these two parameters were well correlated, the data values were highly dispersed.
Table 1.
Pearson Correlations between the Ocular Parameters (r value)
Table 1.
Pearson Correlations between the Ocular Parameters (r value)
| Axial Length | WTW | Anterior Chamber Diameter |
Corneal power | –0.303* | –0.399† | –0.646† |
Axial length | – | 0.252* | 0.489† |
WTW | – | – | 0.593† |
Finally, a stepwise multiple linear regression analysis was performed, comparing corneal power as the dependent variable with each of the three significantly correlated independent variables. Anterior chamber diameter was the only significant variable left in the model, with an
r = −0.646 (
P < 0.001;
r 2 = 0.417;
Fig. 3).