ArticleTomography (Ann Arbor, Mich.)2022
Evaluation of Anterior and Posterior Corneal Higher Order Aberrations for the Detection of Keratoconus and Suspect Keratoconus.
Article in Tomography (Ann Arbor, Mich.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Unsupervised phenotyping of suspect keratoconus based on posterior tomography and epithelial remodeling.BMC ophthalmology · 2026Article
- Improving the diagnostic efficiency of forme fruste keratoconus by a new combined model with Fourier parameters and corneal epithelial aberrations.Eye (London, England) · 2025Article
- The Combined Utilization of Epithelial Thickness and Tomographic Parameters in Keratoconus Detection.Journal of ophthalmology · 2025Article
- Multi-modal imaging for the detection of early keratoconus: a narrative review.Eye and vision (London, England) · 2024Review
- Analysis of Scheimpflug Tomography Parameters for Detecting Subclinical Keratoconus in the Fellow Eyes of Patients with Unilateral Keratoconus in the Eastern Province of Saudi Arabia.Clinical ophthalmology (Auckland, N.Z.) · 2024Article
- Effect of corneal diameter on preoperative screening results for corneal refractive surgery.American journal of translational research · 2024Article
- Diagnostic Accuracy of Corneal and Epithelial Thickness Map Parameters to Detect Keratoconus and Suspect Keratoconus.Journal of ophthalmology · 2023Article
- Comparison of anterior corneal aberrations measured by Scheimpflug and Placido Disc System for myopes.BMC ophthalmology · 2022Observational
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo investigate the application of anterior and posterior corneal higher-order aberrations (HOAs) in detecting keratoconus (KC) and suspect keratoconus (SKC).
methodA retrospective, case-control study evaluating non-ectatic (normal) eyes, SKC eyes, and KC eyes. The Sirius Scheimpfug (CSO, Italy) analyses was used to measure HOAs of the anterior and posterior corneal surfaces. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated.
resultsTwo-hundred and twenty eyes were included in the analysis (normal n = 108, SKC n = 42, KC n = 70). Receiver operating characteristic (ROC) curve analysis revealed a high predictive ability for anterior corneal HOAs parameters: the root mean square (RMS) total corneal HOAs, RMS trefoil, and RMS coma to detect keratoconus (AUC > 0.9 for all). RMS Coma (3, ±1) derived from the anterior corneal surface was the parameter with the highest ability to discriminate between suspect keratoconus and normal eyes (AUC = 0.922; cut-off > 0.2). All posterior corneal HOAs parameters were unsatisfactory in discriminating between SKC and normal eyes (AUC < 0.8 for all). However, their ability to detect KC was excellent with AUC of >0.9 for all except RMS spherical aberrations (AUC = 0.846).
conclusionsAnterior and posterior corneal higher-order aberrations can differentiate between keratoconus and normal eyes, with a high level of certainty. In suspect keratoconus disease, however, only anterior corneal HOAs, and in particular coma-like aberrations, are of value. Corneal aberrometry may be of value in screening for keratoconus in populations with a high prevalence of the disease.
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