Literature DB >> 30721688

Distinguishing Highly Asymmetric Keratoconus Eyes Using Dual Scheimpflug/Placido Analysis.

Oren Golan1, Andre L Piccinini2, Eric S Hwang3, Ildamaris Montes De Oca Gonzalez4, Mark Krauthammer5, Sumitra S Khandelwal4, David Smadja6, J Bradley Randleman7.   

Abstract

PURPOSE: To identify the best metrics or combination of metrics that provide the highest predictive power between normal eyes and the clinically unaffected eye of patients with highly asymmetric keratoconus using data from a Dual Scheimpflug/Placido device.
DESIGN: Retrospective case-control study.
METHODS: Combined Dual Scheimpflug/Placido imaging was obtained from the Galilei G4 device (Ziemer Ophthalmic Systems AG, Port, Switzerland) in 31 clinically unaffected eyes with highly asymmetric keratoconus and 178 eyes from 178 patients with bilaterally normal corneal examinations that underwent uneventful LASIK with at least 1 year follow-up. Receiver operating characteristic (ROC) curves were generated to determine area under the curve (AUC), sensitivity, and specificity for 87 metrics, and logistic regression modeling was used to determine optimal variable combinations.
RESULTS: No individual metric achieved an AUC greater than 0.79. A combined model consisting of 9 metrics yielded an AUC of 0.96, with 90.3% sensitivity and 92.6% specificity. Among those 9 metrics included, 5 related to corneal pachymetry: Opposite Sector Index and Anterior Height BFS Z from the anterior surface, Asphericity and Asymmetry Index, Posterior Height BFS Z, and Posterior Height BFS X from the posterior surface. The strongest variable in the model was the thinnest point location on the horizontal (x) axis.
CONCLUSION: While individual metrics performed poorly, using a combination of metrics from the combined Dual Scheimpflug/Placido device provided a useful model for differentiating normal corneas from the clinically normal eyes of patients with highly asymmetric keratoconus. Pachymetry values were the most impactful metrics.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30721688      PMCID: PMC6511474          DOI: 10.1016/j.ajo.2019.01.023

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  42 in total

1.  Detection of subclinical keratoconus by using corneal anterior and posterior surface aberrations and thickness spatial profiles.

Authors:  Jens Bühren; Daniel Kook; Geunyoung Yoon; Thomas Kohnen
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-02-17       Impact factor: 4.799

2.  Evaluation of Corneal Thickness and Volume Parameters of Subclinical Keratoconus Using a Pentacam Scheimflug System.

Authors:  Jing Cui; Xue Zhang; Qi Hu; Wen-Yan Zhou; Fan Yang
Journal:  Curr Eye Res       Date:  2015-11-25       Impact factor: 2.424

3.  Evaluation of Scheimpflug imaging parameters in subclinical keratoconus, keratoconus, and normal eyes.

Authors:  Ömür Ö Uçakhan; Volkan Cetinkor; Muhip Özkan; Ayfer Kanpolat
Journal:  J Cataract Refract Surg       Date:  2011-06       Impact factor: 3.351

4.  Comparative evaluation of dual Scheimpflug imaging parameters in keratoconus, early keratoconus, and normal eyes.

Authors:  Jagadesh C Reddy; Christopher J Rapuano; Jacqueline R Cater; Kunal Suri; Parveen K Nagra; Kristin M Hammersmith
Journal:  J Cataract Refract Surg       Date:  2014-04       Impact factor: 3.351

5.  Comparison of corneal topographic measurements and high order aberrations in keratoconus and normal eyes.

Authors:  Hatice Nur Colak; Feride Aylin Kantarci; Aydin Yildirim; Mehmet Gurkan Tatar; Hasan Goker; Hasim Uslu; Bulent Gurler
Journal:  Cont Lens Anterior Eye       Date:  2016-07-06       Impact factor: 3.077

6.  Biomechanical Characterization of Subclinical Keratoconus Without Topographic or Tomographic Abnormalities.

Authors:  Riccardo Vinciguerra; Renato Ambrósio; Cynthia J Roberts; Claudio Azzolini; Paolo Vinciguerra
Journal:  J Refract Surg       Date:  2017-06-01       Impact factor: 3.573

7.  KISA% index: a quantitative videokeratography algorithm embodying minimal topographic criteria for diagnosing keratoconus.

Authors:  Y S Rabinowitz; K Rasheed
Journal:  J Cataract Refract Surg       Date:  1999-10       Impact factor: 3.351

8.  Risk assessment for ectasia after corneal refractive surgery.

Authors:  J Bradley Randleman; Maria Woodward; Michael J Lynn; R Doyle Stulting
Journal:  Ophthalmology       Date:  2007-07-12       Impact factor: 12.079

9.  Validation of the Ectasia Risk Score System for preoperative laser in situ keratomileusis screening.

Authors:  J Bradley Randleman; William B Trattler; R Doyle Stulting
Journal:  Am J Ophthalmol       Date:  2008-03-10       Impact factor: 5.258

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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  4 in total

1.  Use of machine learning to achieve keratoconus detection skills of a corneal expert.

Authors:  Eyal Cohen; Dor Bank; Nir Sorkin; Raja Giryes; David Varssano
Journal:  Int Ophthalmol       Date:  2022-08-11       Impact factor: 2.029

2.  Keratoconus detection using OCT corneal and epithelial thickness map parameters and patterns.

Authors:  Yuli Yang; Elias Pavlatos; Winston Chamberlain; David Huang; Yan Li
Journal:  J Cataract Refract Surg       Date:  2021-06-01       Impact factor: 3.528

Review 3.  Galilei Corneal Tomography for Screening of Refractive Surgery Candidates: A Review of the Literature, Part II.

Authors:  Majid Moshirfar; Mahsaw N Motlagh; Michael S Murri; Hamed Momeni-Moghaddam; Yasmyne C Ronquillo; Phillip C Hoopes
Journal:  Med Hypothesis Discov Innov Ophthalmol       Date:  2019

Review 4.  Biomechanical diagnostics of the cornea.

Authors:  Louise Pellegrino Gomes Esporcatte; Marcella Q Salomão; Bernardo T Lopes; Paolo Vinciguerra; Riccardo Vinciguerra; Cynthia Roberts; Ahmed Elsheikh; Daniel G Dawson; Renato Ambrósio
Journal:  Eye Vis (Lond)       Date:  2020-02-05
  4 in total

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