PubMed · 2011 · 14 citations · 7 references
MedicineVision ScienceClinical OptometryClinical Vision ScienceOphthalmic SurgeryContact Lens Clinical PracticeContact Lens FittingCorneal OpticsCorneal TopographyKeratoconus Lens FittingOcular BiometryBase Curve GeometryContact Lens Fit AssessmentContact Lens Fitting AssessmentKeratoconus FittingLens Base Curve SelectionLens Fit EvaluationLinear RegressionMultivariate Linear Models
AIM: To find a simple mathematical correlation between the lens base curve (BC) and keratometry findings (krf). METHODS: This retrospective study included 400 keratoconic eyes (350 patients) previously fit with rigid contact lenses at an academic eye center over a five year period. The patients were classified into five groups based on the keratometry findings (krf<7, krf:7-8, krf>8, krf-krs (difference between two keratometry; flat and steep)= 0.3-0.6, krf-krs >0.6mm as groups 1 to 5, respectively. Multivariate linear regression and Munro's correlation coefficient were employed to defer the formulas. RESULTS: A linear correlation could be found in all groups except for patients in group 3. For group 1, BC=0.211×krf+ 5.904. For group 2, BC=0.456×krf+4.160. For group 4, BC= 0.321×krf+5.219. For group 5, BC=0.337×krf+ 5.090. CONCLUSION: The development of new formulas for RGP fitting enables ophthalmologists to work with confidence and prevents unnecessary and frequent lens trials. The customary lens fitting methods are needed to be replaced by new formulas, which help to save time and costs.
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