Videokeratography database of normal human corneas
- PMID: 8795372
- PMCID: PMC505554
- DOI: 10.1136/bjo.80.7.610
Videokeratography database of normal human corneas
Abstract
Aim: To form a database of videokeratography patterns and quantitative indices describing normal human corneas using the absolute scale.
Methods: Both eyes of 195 normal subjects were examined with a TMS-1 videokeratoscope. Videokeratographs were divided into 10 categories based on a classification scheme devised from the absolute scale and analysed with 10 quantitative indices devised to describe phenotypic features of keratoconus videokeratographs. Correlations were sought between videokeratograph patterns and quantitative indices. Additionally, data were analysed for differences in age, sex, and ethnicity.
Results: For symmetric videokeratography patterns, analysis in the absolute scale was similar to a previous study done in the normalised scale. In the asymmetric categories, analyses differed markedly. Using the absolute scale and our classification scheme more variation in normal videokeratography patterns could be appreciated. There was good correlation between quantitative indices and videokeratography patterns. Neither videokeratography patterns nor indices differed significantly between sex, ethnic groups, or age using two way analysis of variance.
Conclusions: Pattern analysis of videokeratographs in the absolute scale using, a standard classification scheme, may be more useful in trying to determine whether a cornea is normal or represents subtle early disease than analysis in the normalised scale. Quantitative indices could remove the subjectivity from the decision making process thus facilitating universal reproducibility of videokeratography data interpretation.
Similar articles
-
The evaluation of normal corneal topography in emmetropic eyes with computer-assisted videokeratography.CLAO J. 1997 Jul;23(3):168-71. CLAO J. 1997. PMID: 9240827
-
Neural network classification of corneal topography. Preliminary demonstration.Invest Ophthalmol Vis Sci. 1995 Jun;36(7):1327-35. Invest Ophthalmol Vis Sci. 1995. PMID: 7775110
-
Accuracy of videokeratography for instantaneous radius in keratoconus.Optom Vis Sci. 1995 Nov;72(11):793-9. doi: 10.1097/00006324-199511000-00004. Optom Vis Sci. 1995. PMID: 8587767
-
Videokeratography.CLAO J. 1995 Apr;21(2):133-44. CLAO J. 1995. PMID: 7796524 Review.
-
[Quantitative assessment of quality of vision].Nippon Ganka Gakkai Zasshi. 2004 Dec;108(12):770-807; discussion 808. Nippon Ganka Gakkai Zasshi. 2004. PMID: 15656087 Review. Japanese.
Cited by
-
Forme fruste keratoconus detection with OCT corneal topography using artificial intelligence algorithms.J Cataract Refract Surg. 2024 Dec 1;50(12):1247-1253. doi: 10.1097/j.jcrs.0000000000001542. J Cataract Refract Surg. 2024. PMID: 39223730 Free PMC article.
-
Interobserver and intraobserver reliability of a classification scheme for corneal topographic patterns.Br J Ophthalmol. 1998 Dec;82(12):1401-6. doi: 10.1136/bjo.82.12.1401. Br J Ophthalmol. 1998. PMID: 9930271 Free PMC article.
-
Corneal power measurement with Fourier-domain optical coherence tomography.J Cataract Refract Surg. 2010 Dec;36(12):2115-22. doi: 10.1016/j.jcrs.2010.07.018. J Cataract Refract Surg. 2010. PMID: 21111315 Free PMC article.
-
Different keratoconus definitions can lead to substantial prevalence disparities in population-based studies.Sci Rep. 2025 Jan 28;15(1):3483. doi: 10.1038/s41598-025-87532-4. Sci Rep. 2025. PMID: 39875465 Free PMC article.
-
Corneal Morphologic Characteristics in Patients With Down Syndrome.JAMA Ophthalmol. 2018 Sep 1;136(9):971-978. doi: 10.1001/jamaophthalmol.2018.2373. JAMA Ophthalmol. 2018. PMID: 29931124 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources