Comparison of Anterior Chamber Parameters between Normal and Keratoconus Eyes using Scheimpflug Photography
Autor: | Nagla Hassan Ali, Mohammed Othman AbdElKhalek, Hanan Elghoneimy |
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Rok vydání: | 2016 |
Předmět: | |
Zdroj: | International Journal of Keratoconus and Ectatic Corneal Diseases. 5:105-108 |
ISSN: | 2277-4203 2277-3800 |
Popis: | Aim To evaluate anterior chamber indices including anterior chamber depth (ACD) and anterior chamber volume (ACV) with the progression of keratoconus using a rotating Scheimpflug camera to determine the sensitivity and specificity of these parameters in discriminating keratoconus from normal eyes. Materials and methods After full ophthalmological examination in the Memorial Institute of Ophthalmic Research, the patients are divided into two groups: Group I consisting of 50 eyes of normal control. Group II consists of 50 eyes of moderate keratoconus. All the subjects were evaluated with a Pentacam Scheimpflug camera (Oculus, Wetzlar, Germany). Keratoconic eyes were evaluated by vertical asymmetry (VI), keratoconus index (KI), thinnest corneal thickness (TCT) with front elevation at thinnest location (F.Ele.Th) and back elevation at thinnest location (B.Ele.Th) and then divided into three groups according to mean keratometer (K) readings: Mild (K = less than 47.0 D), moderate (K = 47.0 to 52.0 D), and severe (K = 52.0 D or higher), and ACD and ACV were obtained after exclusion of mild and severe cases. Results With the progression of the disease, there was statistically significant differences in ACD and ACV measurements between the normal and moderate keratoconus eyes with progressive increase in the ACD and ACV with disease progression. Conclusion Anterior chamber parameters including depth and volume showed significant increase with moderate keratoconus than control. How to cite this article Ali NH, AbdElKhalek MO, El Ghonemy HM. Comparison of Anterior Chamber Parameters between Normal and Keratoconus Eyes using Scheimpflug Photography. Int J Kerat Ect Cor Dis 2016;5(3):105-108. |
Databáze: | OpenAIRE |
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