ArticleScientific reports2017
Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05026307 (Corneal Topographic Changes After Pterygium Surgery), which is not on this map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Corneal Topographic Changes After Pterygium Surgery
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial intelligence for detecting keratoconus.The Cochrane database of systematic reviews · 2023Pooled it
- Conventional and transepithelial corneal cross-linking for patients with keratoconus.PloS one · 2018Pooled it
- Repeatability and comparison of new Corvis ST parameters in normal and keratoconus eyes.Scientific reports · 2019Trial
- Corneal Higher-Order Aberrations and Posterior Segment Changes in Keratoconus: A Multimodal OCT and OCTA Study.Diagnostics (Basel, Switzerland) · 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
- Evaluating the Global Consensus on Keratoconus and Ectatic Diseases Agreements Reached on Subclinical Keratoconus.American journal of ophthalmology · 2025Review
- Advances in machine learning for keratoconus diagnosis.International ophthalmology · 2025Review
- Diagnosis of forme fruste keratoconus with scheimpflug photography in Ghanaian patients.BMC ophthalmology · 2024Article
- The development of a machine learning model to train junior ophthalmologists in diagnosing the pre-clinical keratoconus.Frontiers in medicine · 2024Article
- Keratoconus Diagnosis: From Fundamentals to Artificial Intelligence: A Systematic Narrative Review.Diagnostics (Basel, Switzerland) · 2023Review
- Evaluation of Anterior and Posterior Corneal Higher Order Aberrations for the Detection of Keratoconus and Suspect Keratoconus.Tomography (Ann Arbor, Mich.) · 2022Article
- Current approaches in the management of patients with keratoconus.Medicine and pharmacy reports · 2022Review
- Detection of Corneal Ectasia Using OCT Maps of Pachymetry and Posterior Surface Mean Curvature.Journal of refractive surgery (Thorofare, N.J. : 1995) · 2022Article
- Anterior pituitary, sex hormones, and keratoconus: Beyond traditional targets.Progress in retinal and eye research · 2022Article
- Accuracy of Machine Learning Assisted Detection of Keratoconus: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2022Review
- Machine Learning Algorithms to Detect Subclinical Keratoconus: Systematic Review.JMIR medical informatics · 2021Review
- Comparison of a New Optical Biometer That Combines Scheimpflug Imaging With Partial Coherence Interferometry With That of an Optical Biometer Based on Swept-Source Optical Coherence Tomography and Placido-Disk Topography.Frontiers in medicine · 2021Article
- A model of visual limitation in patients with keratoconus.Scientific reports · 2020Article
- A predictive model for early diagnosis of keratoconus.BMC ophthalmology · 2020Article
- Early diagnosis of subclinical keratoconus by wavefront parameters using Scheimpflug, Placido and Hartmann-Shack based devices.International ophthalmology · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study aimed to characterize the entire corneal topography and tomography for the detection of sub-clinical keratoconus (KC) with a Zernike application method. Normal subjects (n = 147; 147 eyes), sub-clinical KC patients (n = 77; 77 eyes), and KC patients (n = 139; 139 eyes) were imaged with the Pentacam HR system. The entire corneal data of pachymetry and elevation of both the anterior and posterior surfaces were exported from the Pentacam HR software. Zernike polynomials fitting was used to quantify the 3D distribution of the corneal thickness and surface elevation. The root mean square (RMS) values for each order and the total high-order irregularity were calculated. Multimeric discriminant functions combined with individual indices were built using linear step discriminant analysis. Receiver operating characteristic curves determined the diagnostic accuracy (area under the curve, AUC). The 3rd-order RMS of the posterior surface (AUC: 0.928) obtained the highest discriminating capability in sub-clinical KC eyes. The multimeric function, which consisted of the Zernike fitting indices of corneal posterior elevation, showed the highest discriminant ability (AUC: 0.951). Indices generated from the elevation of posterior surface and thickness measurements over the entire cornea using the Zernike method based on the Pentacam HR system were able to identify very early KC.
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