Keratoconus diagnosis with optical coherence tomography-based pachymetric scoring system

Bing Qin, Shihao Chen, Robert Brass, Yan Li, Maolong Tang, Xinbo Zhang, Xiaoyu Wang, Qinmei Wang, David Huang

Research output: Contribution to journalArticle

17 Scopus citations


Purpose To develop an optical coherence tomography (OCT) pachymetry map-based keratoconus risk scoring system. Settings Doheny Eye Institute, University of Southern California, Los Angeles, California, and Brass Eye Center, New York, New York, USA; Department of Ophthalmology, Affiliated Eye Hospital of Wenzhou Medical College, Wenzhou, China. Design Cross-sectional study. Methods Fourier-domain OCT was used to acquire corneal pachymetry maps in normal and keratoconus subjects. Pachymetric variables were minimum, minimum-median, superior-inferior (S-I), superonasal-inferotemporal (SN-IT), and the vertical location of the thinnest cornea (Ymin). A logistic regression formula and a scoring system were developed based on these variables. Keratoconus diagnostic accuracy was measured by the area under the receiver operating characteristic (ROC) curve. Results One hundred thirty-three eyes of 67 normal subjects and 82 eyes from 52 keratoconus subjects were recruited. The keratoconus logistic regression formula = 0.543 × minimum + 0.541 × (S-I) - 0.886 × (SN-IT) + 0.886 × (minimum-median) + 0.0198 × Ymin. The formula gave better diagnostic power with the area under the ROC than the best single variable (formula = 0.975, minimum = 0.942; P

Original languageEnglish (US)
Pages (from-to)1864-1871
Number of pages8
JournalJournal of Cataract and Refractive Surgery
Issue number12
Publication statusPublished - Dec 2013


ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems
  • Surgery

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