Literature DB >> 8002240

Keratoconus and contact lens-induced corneal warpage analysis using the keratomorphic diagram.

M K Smolek1, S D Klyce, N Maeda.   

Abstract

PURPOSE: Videokeratography of early keratoconus may be difficult to distinguish from contact lens-induced corneal warpage, even by experienced examiners. Furthermore, topographic irregularity may be judged inconsistently if quantitative standards are not applied. Quantitative measures based on videokeratographic data were developed and evaluated to determine if improved corneal topographic classification can be achieved.
METHODS: The Corneal Irregularity Coefficient (CIC) and Corneal Power Coefficient (CPC) were derived from multiple measures of mean corneal power and its variance for 207 videokeratographs of normal, warped, keratoconus, and keratoconus-suspect corneas. CIC was plotted against CPC, creating a distribution of points representing all maps that tended to be grouped according to surface conditions (the Keratomorphic Diagram). Normal, steep, abnormal, and warped zones were defined by CIC and CPC cutoff values chosen to distinguish normal from keratoconus corneas graphically.
RESULTS: Seventy of 76 normal corneas were grouped in the normal zone and 6 in the steep zone; 84 of 84 keratoconus corneas were grouped in the abnormal zone; 35 of 35 contact lens-induced warpage cases were grouped in the warped zone; and 10 of 12 keratoconus-suspect corneas were grouped in the warped zone, with 2 in the abnormal zone. Serially plotted data of keratoconus progression and warpage regression demonstrated that the vector displacement of CIC and CPC values may provide a potentially useful means of distinguishing contact lens-induced warpage from keratoconus-suspect corneas.
CONCLUSION: The Keratomorphic Diagram aids in classifying and comparing corneal shape by plotting indices along axes with easily recalled scales. The diagram may become a useful tool to assess presurgical corneal surface instability and postoperative progression of corneal shape change due to healing.

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Year:  1994        PMID: 8002240

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  4 in total

1.  Royston-Parmar flexible parametric survival model to predict the probability of keratoconus progression to corneal transplantation.

Authors:  Ana Quartilho; Daniel M Gore; Catey Bunce; Stephen J Tuft
Journal:  Eye (Lond)       Date:  2019-08-28       Impact factor: 3.775

2.  Proposing an ensemble learning model based on neural network and fuzzy system for keratoconus diagnosis based on Pentacam measurements.

Authors:  Maryam Ghaderi; Arash Sharifi; Ebrahim Jafarzadeh Pour
Journal:  Int Ophthalmol       Date:  2021-07-28       Impact factor: 2.031

3.  Differentiating Between Contact Lens Warpage and Keratoconus Using OCT Maps of Corneal Mean Curvature and Epithelial Thickness.

Authors:  Elias Pavlatos; Brooke Harkness; Derek Louie; Winston Chamberlain; David Huang; Yan Li
Journal:  J Refract Surg       Date:  2022-02-01       Impact factor: 3.573

4.  Longitudinal changes in corneal irregular astigmatism and visual acuity in eyes with keratoconus.

Authors:  Mariko Suzuki; Shiro Amano; Norihiko Honda; Tomohiko Usui; Satoru Yamagami; Tetsuro Oshika
Journal:  Jpn J Ophthalmol       Date:  2007-08-03       Impact factor: 2.447

  4 in total

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