4.6 Article

Discriminant Value of Custom Ocular Response Analyzer Waveform Derivatives in Forme Fruste Keratoconus

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AMERICAN JOURNAL OF OPHTHALMOLOGY
卷 164, 期 -, 页码 14-21

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.ajo.2015.12.020

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  1. NEI NIH HHS [R01 EY023381] Funding Source: Medline

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PURPOSE: To evaluate the performance of corneal hysteresis (CH), corneal resistance factor (CRF), 37 Ocular Response Analyzer (ORA) waveform parameters, and 15 investigator-derived ORA variables in differentiating forme fruste keratoconus (KC) from normal corneas. DESIGN: Case-control study. METHODS: Seventy-eight eyes of 78 unaffected patients and 21 topographically normal eyes of 21 forme fruste KC patients with topographically manifest KC in the contralateral eye were matched for age, the thinnest point of the cornea, central corneal thickness, and maximum keratometry. Fifteen candidate variables were derived from exported ORA signals to characterize putative indicators of biomechanical behavior, and 37 waveform parameters were tested. Differences between groups were assessed by the Mann-Whitney test. The area under the receiver operating characteristic curve (AUROC) was used to compare the diagnostic performance. RESULTS: Ten of 54 parameters reached significant differences between the groups (Mann-Whitney test, P <.05). Neither CRF nor CH differed significantly between the groups. Among the ORA waveform measurements, the best parameters were those related to the area under the first peak, plarea, and p1area1 (AUROC, 0.714 +/- 0.064 and 0.721 +/- 0.065, respectively). Among the investigator ORA variables, a measure incorporating the pressure-deformation relationship of the entire response cycle performed best (hysteresis loop area, AUROC, 0.694 +/- 0.067). CONCLUSION: Waveform-derived ORA parameters, including a custom measure incorporating the pressure deformation relationship of the entire response cycle, performed better than traditional CH and CRF parameters in differentiating forme fruste KC from normal corneas. (C) 2016 by Elsevier Inc. All rights reserved.

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