Literature DB >> 28687218

Keratoconus Screening Indices and Their Diagnostic Ability to Distinguish Normal From Ectatic Corneas.

Rohit Shetty1, Harsha Rao1, Pooja Khamar1, Kanchan Sainani1, Krishnapoojita Vunnava1, Chaitra Jayadev1, Luci Kaweri2.   

Abstract

PURPOSE: To compare the diagnostic ability of 3 Scheimpflug devices in differentiating normal from ectatic corneas.
DESIGN: Comparison of diagnostic instrument accuracy.
METHODS: This study included 42 normal, 37 subclinical keratoconic, and 51 keratoconic eyes seen in a tertiary eye care institute. Keratoconus screening indices were evaluated using the Pentacam (Oculus, Wetzlar, Germany), Galilei (Ziemer, Biel, Switzerland), and Sirius (Costruzione Strumenti Oftalmici, Florence, Italy). Sensitivity, specificity, and area under receiver operating characteristic curve (AUC) were calculated.
RESULTS: Highest sensitivity (100%) to diagnose keratoconus was seen for 6 parameters on Pentacam and 1 on Galilei. None of the indices in Sirius reached 100% sensitivity. For subclinical keratoconus, the highest sensitivity (100%) was seen for 2 parameters on Pentacam but for none of them on Galilei and Sirius. All parameters were strong enough to differentiate keratoconus (AUC > 0.9). On comparing the best parameters of all 3 machines, the AUC of the Belin/Ambrosio enhanced ectasia total derivation (BAD-D) and the inferior-superior value (ISV) of Pentacam were statistically similar to that of the keratoconus prediction index (KPI) and keratoconus probability (Kprob) of Galilei (P = .27) and 4.5 mm root mean square per unit area (RMS/A) back of Sirius (P = .55). When differentiating subclinical from normal corneas, BAD-D was similar to the surface regularity index (SRI) of Galilei (P = .78) but was significantly greater than the 8 mm RMS/A back of Sirius (P = .002).
CONCLUSION: Keratoconus indices measured by all 3 machines can effectively differentiate keratoconus from normal corneas. However, new cutoff values might be needed to differentiate subclinical from normal corneas.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28687218     DOI: 10.1016/j.ajo.2017.06.031

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


  24 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.  Could the percent tissue altered (PTA) index be considered as a unique factor in ectasia risk assessment?

Authors:  Carlos Rocha-de-Lossada; José-María Sánchez-González; Rahul Rachwani-Anil; Juan-Luis García-Madrona; Federico Alonso-Aliste; Sandra Figueroa-Ardila; Elvira Colmenero-Reina
Journal:  Int Ophthalmol       Date:  2020-07-27       Impact factor: 2.031

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.  Best indices of dual Scheimpflug/Placido tomographer for keratoconus detection.

Authors:  Zahra Heidari; Ebrahim Jafarzadehpour; Mehrdad Mohammadpour; Hassan Hashemi
Journal:  Int Ophthalmol       Date:  2022-09-23       Impact factor: 2.029

5.  Performances of Corneal Topography and Tomography in the Diagnosis of Subclinical and Clinical Keratoconus.

Authors:  Cristina Ariadna Nicula; Adriana Elena Bulboacă; Dorin Nicula; Ariadna Patricia Nicula; Karin Ursula Horvath; Sorana D Bolboacă
Journal:  Front Med (Lausanne)       Date:  2022-05-26

6.  Prevalence of Subclinical Keratoconus Among Pediatric Egyptian Population with Astigmatism.

Authors:  Mohamed Karim Sidky; Dina Hosameldin Hassanein; Sherif A Eissa; Yehia M Salah; Nancy M Lotfy
Journal:  Clin Ophthalmol       Date:  2020-03-23

7.  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

8.  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 9.  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

10.  Depth-Dependent Corneal Biomechanical Properties in Normal and Keratoconic Subjects by Optical Coherence Elastography.

Authors:  Vinicius S De Stefano; Matthew R Ford; Ibrahim Seven; William J Dupps
Journal:  Transl Vis Sci Technol       Date:  2020-06-03       Impact factor: 3.283

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