Diagnostic capacity of the keratoconus match index and keratoconus match probability in subclinical keratoconus

Labiris, Georgios; Giarmoukakis, Athanassios; Gatzioufas, Zisis; Sideroudi, Haris; Kozobolis, Vassilios; Seitz, Berthold

doi:10.1016/j.jcrs.2013.08.064

Cited by 33 publications

(31 citation statements)

References 14 publications

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“…In fact, SKC and Forme Fruste keratoconus are often used interchangeably in the relevant literature. In our study, enrollment for the SKC group was based on the Rabinowitz–Rasheed, and Amshler–Krumeich, criteria for maximal consistency with former surveys . It is known that in most cases, KC is a bilateral disease, usually asymmetric in severity and progression.…”

Section: Discussionmentioning

confidence: 99%

Fourier analysis algorithm for the posterior corneal keratometric data: clinical usefulness in keratoconus

Sideroudi

Labiris

Georgantzoglou

et al. 2017

Ophthalmic Physiologic Optic

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Section: Discussionmentioning

confidence: 99%

Fourier analysis algorithm for the posterior corneal keratometric data: clinical usefulness in keratoconus

Sideroudi

Labiris

Georgantzoglou

et al. 2017

Ophthalmic Physiologic Optic

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“…26 However, this result was derived from the distinct waveform characteristics of diagnostic data from keratoconus eyes compared with PMD eyes. Thus, the assumption of simple transferability to PMD may be incorrect, FIGURE 1.…”

Section: Discussionmentioning

confidence: 99%

Characterization of Ocular Biomechanics in Pellucid Marginal Degeneration

Lenk

Haustein

Terai

et al. 2016

Cornea

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We identified 2 Corvis parameters that could be used to characterize PMD and differentiate PMD corneas from normal corneas. These parameters support the hypothesis that there is significantly less deformation of the central cornea in PMD corneas than in healthy corneas. However, because useful "first-line" diagnostic devices for diagnosing PMD (such as Pentacam and the ORA) exist, the Corvis ST serves as an additional diagnostic tool that can also be used for long-term monitoring after diagnosis confirmation.

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“…11), with a score value of −0.5, which indicates negative for detecting ectasia. The ORA-KMI (keratoconus match index) 43 was 0.6 in the right eye and 0.69 in the left eye.…”

Section: Case Reportmentioning

confidence: 91%

“…International Journal of Keratoconus and Ectatic Corneal Diseases, January-April 2016;5(1):[40][41][42][43][44][45][46][47][48][49][50][51] …”

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confidence: 99%

Unilateral Ectasia characterized by Advanced Diagnostic Tests

Lopes¹,

Salomão²,

Ramos³

et al. 2016

International Journal of Keratoconus and Ectatic Corneal Diseases

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To describe a case of very asymmetric ectasia successfully treated by femtosecond laser-assisted intracorneal ring segment implantation, in which the diagnosis of unilateral ectasia in the right eye was based on the clinical findings including history, follow-up, and advanced diagnostic data. The patient's history was positive for ocular allergy with moderateto-intense eye rubbing only in the right eye. The uncorrected distance visual acuity was 20/63 in the right eye and 20/32 in the left eye. The corrected distance visual acuity (CDVA) was 20/40 in the right eye (−1.75−4.00 × 35°) and 20/16 in the left eye (−0.50−0.25 × 115°). After femtosecond laser-assisted intracorneal ring segment implantation, the right eye improved CDVA to 20/20 −1 . Concerning ectasia/keratoconus diagnosis, the left eye remained stable over 1 year of follow-up with unremarkable topometric, tomographic, and biomechanical findings. Epithelial thickness mapping by spectral domain optical coherence tomography and very-high-frequency digital ultrasound demonstrated epithelial thickness within normal limits in the left eye. Advanced diagnostic methods along with clinical data enable the distinction from unilateral ectasia cases and subclinical (fruste) keratoconus. Literature review is also performed along with case presentation and discussion.

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Diagnostic capacity of the keratoconus match index and keratoconus match probability in subclinical keratoconus

Abstract: No author has a financial or proprietary interest in any material or method mentioned.

Cited by 33 publications

References 14 publications

Fourier analysis algorithm for the posterior corneal keratometric data: clinical usefulness in keratoconus

Fourier analysis algorithm for the posterior corneal keratometric data: clinical usefulness in keratoconus

Characterization of Ocular Biomechanics in Pellucid Marginal Degeneration

Unilateral Ectasia characterized by Advanced Diagnostic Tests

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