Literature DB >> 19683159

Keratoconus: classification scheme based on videokeratography and clinical signs.

Xiaohui Li1, Huiying Yang, Yaron S Rabinowitz.   

Abstract

PURPOSE: To determine in a longitudinal study whether there is correlation between videokeratography and clinical signs of keratoconus that might be useful to practicing clinicians.
SETTING: Cornea-Genetic Eye Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
METHODS: Eyes grouped as keratoconus, early keratoconus, keratoconus suspect, or normal based on clinical signs and videokeratography were examined at baseline and followed for 1 to 8 years. Differences in quantitative videokeratography indices and the progression rate were evaluated. The quantitative indices were central keratometry (K), the inferior-superior (I-S) value, and the keratoconus percentage index (KISA). Discriminant analysis was used to estimate the classification rate using the indices.
RESULTS: There were significant differences at baseline between the normal, keratoconus-suspect, and early keratoconus groups in all indices; the respective means were central K: 44.17 D, 45.13 D, and 45.97 D; I-S: 0.57, 1.20, and 4.44; log(KISA): 2.49, 2.94, and 5.71 (all P<.001 after adjusting for covariates). Over a median follow-up of 4.1 years, approximately 28% in the keratoconus-suspect group progressed to early keratoconus or keratoconus and 75% in the early keratoconus group progressed to keratoconus. Using all 3 indices and age, 86.9% in the normal group, 75.3% in the early keratoconus group, and 44.6% in the keratoconus-suspect group could be classified, yielding a total classification rate of 68.9%.
CONCLUSIONS: Cross-sectional and longitudinal data showed significant differences between groups in the 3 indices. Use of this classification scheme might form a basis for detecting subclinical keratoconus.

Entities:  

Mesh:

Year:  2009        PMID: 19683159      PMCID: PMC3712873          DOI: 10.1016/j.jcrs.2009.03.050

Source DB:  PubMed          Journal:  J Cataract Refract Surg        ISSN: 0886-3350            Impact factor:   3.351


  16 in total

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Journal:  J Cataract Refract Surg       Date:  1992-07       Impact factor: 3.351

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3.  Axial, instantaneous, and refractive formulas in computerized videokeratography of normal corneas.

Authors:  S Bafna; T Kohnen; D D Koch
Journal:  J Cataract Refract Surg       Date:  1998-09       Impact factor: 3.351

4.  Videokeratography database of normal human corneas.

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Authors:  N Maeda; S D Klyce; M K Smolek; H W Thompson
Journal:  Invest Ophthalmol Vis Sci       Date:  1994-05       Impact factor: 4.799

9.  Longitudinal study of the normal eyes in unilateral keratoconus patients.

Authors:  Xiaohui Li; Yaron S Rabinowitz; Karim Rasheed; Huiying Yang
Journal:  Ophthalmology       Date:  2004-03       Impact factor: 12.079

10.  Higher order wavefront aberrations and topography in early and suspected keratoconus.

Authors:  Batool Jafri; Xiaohui Li; Huiying Yang; Yaron S Rabinowitz
Journal:  J Refract Surg       Date:  2007-10       Impact factor: 3.573

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  28 in total

1.  Correlation of basic indicators with stages of keratoconus assessed by Pentacam tomography.

Authors:  Xian-Li Du; Min Chen; Li-Xin Xie
Journal:  Int J Ophthalmol       Date:  2015-12-18       Impact factor: 1.779

2.  Optical coherence tomography combined with videokeratography to differentiate mild keratoconus subtypes.

Authors:  Yaron S Rabinowitz; Xiaohui Li; Ana Laura Caiado Canedo; Renato Ambrósio; Yelena Bykhovskaya
Journal:  J Refract Surg       Date:  2014-02       Impact factor: 3.573

3.  Distinguishing Highly Asymmetric Keratoconus Eyes Using Combined Scheimpflug and Spectral-Domain OCT Analysis.

Authors:  Eric S Hwang; Claudia E Perez-Straziota; Sang Woo Kim; Marcony R Santhiago; J Bradley Randleman
Journal:  Ophthalmology       Date:  2018-07-25       Impact factor: 12.079

4.  A statistical approach to classification of keratoconus.

Authors:  Murat Ucar; Hasan Basri Cakmak; Baha Sen
Journal:  Int J Ophthalmol       Date:  2016-09-18       Impact factor: 1.779

5.  Outcomes of different lines of keratoconus management in a tertiary eye center in north China.

Authors:  Jing Zhang; Xian-Li Du; Lei Wan; Yan-Ling Dong; Li-Xin Xie
Journal:  Int J Ophthalmol       Date:  2022-04-18       Impact factor: 1.779

Review 6.  Biomechanics of corneal ectasia and biomechanical treatments.

Authors:  Cynthia J Roberts; William J Dupps
Journal:  J Cataract Refract Surg       Date:  2014-04-26       Impact factor: 3.351

7.  Biomechanical characterization of keratoconus corneas ex vivo with Brillouin microscopy.

Authors:  Giuliano Scarcelli; Sebastien Besner; Roberto Pineda; Seok Hyun Yun
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-06-17       Impact factor: 4.799

8.  [Early diagnosis of keratoconus].

Authors:  Stefan J Lang; P Maier; T Böhringer; T Reinhard
Journal:  Ophthalmologe       Date:  2021-07-23       Impact factor: 1.059

9.  High-resolution analysis of DNA copy number alterations in patients with isolated sporadic keratoconus.

Authors:  Khaled K Abu-Amero; Ali M Hellani; Sameer M Al Mansouri; Hatem Kalantan; Abdulrahman M Al-Muammar
Journal:  Mol Vis       Date:  2011-03-30       Impact factor: 2.367

10.  Revisiting keratoconus diagnosis and progression classification based on evaluation of corneal asymmetry indices, derived from Scheimpflug imaging in keratoconic and suspect cases.

Authors:  Anastasios John Kanellopoulos; George Asimellis
Journal:  Clin Ophthalmol       Date:  2013-07-26
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