Literature DB >> 25873278

Correlation of the KISA% index and Scheimpflug tomography in 'normal', 'subclinical', 'keratoconus-suspect' and 'clinically manifest' keratoconus eyes.

Johannes Steinberg1, Silke Aubke-Schultz, Andreas Frings, Jan Hülle, Vasyl Druchkiv, Gisbert Richard, Toam Katz, Stephan J Linke.   

Abstract

PURPOSE: To analyse tomographic changes in eyes classified as 'normal', 'keratoconus-suspect' and 'clinically manifest keratoconus' based on the established KISA% definition of Rabinowitz and Rasheed and to develop the category of 'subclinical keratoconus eyes' to expand the classification into a 'subtopographic' range.
METHODS: Tomographic and topographic analyses of 670 eyes performed with a rotating Scheimpflug imaging system (Pentacam(®), Oculus Inc., Wetzlar, Germany) were retrospectively analysed. Based on the KISA% keratoconus classification system, eyes were assigned to a 'normal', 'keratoconus-suspect' or 'manifest keratoconus' group. In addition, a new group of 'subclinical keratoconus eyes' was analysed, comprising unsuspicious fellow eyes of patients with keratoconus. T-tests, Wilcoxon rank-sum test, receiver operating characteristics (ROC) and robust regression analyses were performed to correlate tomographic parameters with the increasing KISA% index.
RESULTS: KISA%-grouped keratoconus eyes showed robust tomographic changes. By adding the subclinical group, although the concurrent topography was unchanged, we were able to demonstrate statistically significant changes for almost all tomographic parameters (parameters with highest sensitivity/specificity: ART_max, [0.69/0.69], BAD_D [0.66/0.66]). The highest coefficient of determination (R(2)) with the KISA% index was demonstrated for Ele_f_max (R(2) = 0.70), Ele_f_TP (R(2) = 0.69), Ele_b_TP (R(2) = 0.69) and BAD_D (R(2) = 0.68).
CONCLUSION: We recommend the use of the expanded KISA% index (eKISA% index) as the basis for the definition of keratoconus and normal groups in future keratoconus research projects.
© 2015 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  KISA%; classification system; keratoconus; subclinical keratoconus; tomography

Mesh:

Year:  2015        PMID: 25873278     DOI: 10.1111/aos.12590

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  10 in total

1.  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

2.  Scanning-slit topography in patients with keratoconus.

Authors:  László Módis; Gábor Németh; Eszter Szalai; Zsuzsa Flaskó; Berthold Seitz
Journal:  Int J Ophthalmol       Date:  2017-11-18       Impact factor: 1.779

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

Authors:  Oren Golan; Andre L Piccinini; Eric S Hwang; Ildamaris Montes De Oca Gonzalez; Mark Krauthammer; Sumitra S Khandelwal; David Smadja; J Bradley Randleman
Journal:  Am J Ophthalmol       Date:  2019-02-02       Impact factor: 5.258

4.  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

5.  A predictive model for early diagnosis of keratoconus.

Authors:  Gracia Castro-Luna; Antonio Pérez-Rueda
Journal:  BMC Ophthalmol       Date:  2020-07-02       Impact factor: 2.209

Review 6.  Pentacam® Corneal Tomography for Screening of Refractive Surgery Candidates: A Review of the Literature, Part I.

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

7.  Accuracy of new Corvis ST parameters for detecting subclinical and clinical keratoconus eyes in a Chinese population.

Authors:  Shengwei Ren; Liyan Xu; Qi Fan; Yuwei Gu; Kaili Yang
Journal:  Sci Rep       Date:  2021-03-02       Impact factor: 4.379

8.  Detection of subclinical keratoconus using a novel combined tomographic and biomechanical model based on an automated decision tree.

Authors:  Peng Song; Shengwei Ren; Yu Liu; Pei Li; Qingyan Zeng
Journal:  Sci Rep       Date:  2022-03-29       Impact factor: 4.379

9.  A new approach to keratoconus detection based on corneal morphogeometric analysis.

Authors:  Francisco Cavas-Martínez; Laurent Bataille; Daniel G Fernández-Pacheco; Francisco J F Cañavate; Jorge L Alió
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

10.  Keratoconus Detection Based on a New Corneal Volumetric Analysis.

Authors:  Francisco Cavas-Martínez; Laurent Bataille; Daniel G Fernández-Pacheco; Francisco J F Cañavate; Jorge L Alio
Journal:  Sci Rep       Date:  2017-11-20       Impact factor: 4.379

  10 in total

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