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Titre du Document
KISA% index : A quantitative videokeratography algorithm embodying minimal topographic criteria for diagnosing keratoconus
Auteur(s)
RABINOWITZ Y. S. ; RASHEED K.
Résumé
Purpose: To formulate and test an algorithm using minimal topographic criteria for accurately diagnosing clinical keratoconus. Setting: Subspecialty cornea practice and Keratoconus Genetic Research Project. Methods: Both eyes of 86 keratoconic patients who had never worn contact lenses and 195 normal participants were studied with the TMS- 1 videokeratoscope to evaluate the KISA% index, an algorithm that topographically quantifies the phenotypic features of keratoconus. The diagnostic efficacy of the KISA% index was compared with that of the modified Rabinowitz/McDonnell (K- and I-S values) and the Maeda/Klyce (KCI% and KPI) indices. The same indices were calculated for an additional 8 eyes with keratoconus-suspect topography and 12 eyes with early keratoconus. Results: The mean KISA% was significantly greater in the keratoconus group (10 382%) than in the normal control group (20.44%) with minimal overlap. At a cutoff point for KISA% of 100. 280 of 281 participants (99.6%) were correctly classified. In contrast, the correct classification rate for the other indices were KCI%. 274 of 281 (97.5%); KPI. 249 of 281 (88.6%); K, 272 of 281 (96.8%); I-S. 269 of 281 (95.7%). Six of the 8 eyes with keratoconus-suspect topography had a KISA% between 60% and 100%, and 11 of the 12 eyes with early keratoconus had a KISA% greater than 100%. Conclusions: The KISA% index set at 100 was highly sensitive and specific for diagnosing keratoconus; a range of 60% to 100% may be useful for design
Editeur
Elsevier Science
Identifiant
PMID : 10511930 ISSN : 0886-3350 CODEN : JCSUEV
Source
Journal of cataract and refractive surgery A. 1999, vol. 25, n° 10, pp. 1327-1335 [bibl. : 22 ref.]
Langue
Anglais
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