Purpose: To compare the ability to detect preoperative ectasia risk among LASIK candidates using classic ERSS (Ectasia Risk age and RSB provided 100% sensitivity and 94% specificity, with better AUC (0.989; 95% CI: 0.969 to 0.998)

There was significant inter-observer variability in the subjective classifications using the same scale, and significant intra-observer variability between scales. Changing from an absolute to a normative scale increased the scores on the classifications by the same examiner, but significant inter-observer variability in the subjective interpretation of the maps still persisted.

Purpose To compare topometric (front surface curvature) and tomographic (3D corneal shape) indices for diagnosing keratoconus. Methods Pentacam data from one eye randomly selected of 200 normals (N) and 177 keratoconus (KC) were analyzed. Tomographic and topometric indices were tested. Receiver operating characteristic (ROC) curves were calculated, along with pairwise comparisons. Results All tested variables had significant differences among N and KC (Mann-Whitney, p < 0.001). Most accurate tomographic indices had higher AUC than best topometric ones (DeLong, p < 0.05). Belin-Ambrosio D (BAD-D) had AUC of 1.00 (sensitivity 100.0%; specificity 98.5%). Conclusion Tomographic data was superior than topometric data to detect keratoconus. The BAD-D was an enhanced approach for detecting keratoconus. How to cite this article Correia FF, Ramos I, Lopes B, Salomão MQ, Luz A, Correa RO, Belin MW, Ambrósio R Jr. Topometric and Tomographic Indices for the Diagnosis of Keratoconus. Int J Kerat Ect Cor Dis 2012;1(2):92-99.

The biostatistics has gained significant importance in recent years, being one of the mainstays of current scientific research. It has a series of concepts and rules that must be understood to carry out or analyze an article. In this review we will discuss some of main tools utilized in works of interest in ophthalmology, its applications and limitations.

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