ArticleInternational journal of environmental research and public health2020
The Role of Corneal Biomechanics for the Evaluation of Ectasia Patients.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Accuracy of new Corvis ST parameters for detecting subclinical and clinical keratoconus eyes in a Chinese population.Scientific reports · 2021Trial
- Wavelet time-frequency analysis enhances noise-resilient quantification of corneal wave velocity and natural frequency in optical coherence elastography.Biomedical optics express · 2026Article
- Corneal biomechanics alterations and increased risk for corneal ectasia in Turner syndrome.International ophthalmology · 2026Article
- Enhancing the diagnostic precision of subclinical keratoconus by combining indices from Scheimpflug tomography, corneal biomechanics, and anterior segment optical coherence tomography.International journal of ophthalmology · 2026Article
- Early diagnosis of keratoconus using corneal biomechanics and OCT derived technologies.Eye and vision (London, England) · 2025Review
- Advances in machine learning for keratoconus diagnosis.International ophthalmology · 2025Review
- The Application of Terahertz Technology in Corneas and Corneal Diseases: A Systematic Review.Bioengineering (Basel, Switzerland) · 2025Review
- The Role of Pentacam Random Forest Index in Detecting Subclinical Keratoconus in a Chinese Cohort.Diagnostics (Basel, Switzerland) · 2024Article
- Keratoconus and Corneal Ectasia with Relatively Low Keratometry.Ophthalmology and therapy · 2024Article
- Article
- Corneal biomechanics in early diagnosis of keratoconus using artificial intelligence.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024Review
- Unsupervised corneal contour extraction algorithm with shared model for dynamic deformation videos: improving accuracy and noise resistance.Biomedical engineering online · 2024Article
- Scheimpflug-Based Corneal Biomechanical Analysis As A Predictor of Glaucoma in Eyes With High Myopia.Clinical ophthalmology (Auckland, N.Z.) · 2024Article
- Keratoconus Diagnosis: From Fundamentals to Artificial Intelligence: A Systematic Narrative Review.Diagnostics (Basel, Switzerland) · 2023Review
- Review
- Comprehensive Assessment of Corvis ST Biomechanical Indices in Normal and Keratoconus Corneas with Reference to Corneal Enantiomorphism.Journal of clinical medicine · 2023Article
- The short-term effects of wearing swimming goggles on corneal biomechanics.International ophthalmology · 2022Article
- Artificial Intelligence-Based Diagnostic Model for Detecting Keratoconus Using Videos of Corneal Force Deformation.Translational vision science & technology · 2022Article
- Corneal hysteresis and intraocular pressure are altered in silicone-hydrogel soft contact lenses wearers.International ophthalmology · 2022Article
- Evaluating the association between MPDZ-NF1B rs1324183 and keratoconus in an independent northwestern Chinese population.BMC ophthalmology · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo review the role of corneal biomechanics for the clinical evaluation of patients with ectatic corneal diseases.
methodsA total of 1295 eyes were included for analysis in this study. The normal healthy group (group N) included one eye randomly selected from 736 patients with healthy corneas, the keratoconus group (group KC) included one eye randomly selected from 321 patients with keratoconus. The 113 nonoperated ectatic eyes from 125 patients with very asymmetric ectasia (group VAE-E), whose fellow eyes presented relatively normal topography (group VAE-NT), were also included. The parameters from corneal tomography and biomechanics were obtained using the Pentacam HR and Corvis ST (Oculus Optikgeräte GmbH, Wetzlar, Germany). The accuracies of the tested variables for distinguishing all cases (KC, VAE-E, and VAE-NT), for detecting clinical ectasia (KC + VAE-E) and for identifying abnormalities among the VAE-NT, were investigated. A comparison was performed considering the areas under the receiver operating characteristic curve (AUC; DeLong's method).
resultsConsidering all cases (KC, VAE-E, and VAE-NT), the AUC of the tomographic-biomechanical parameter (TBI) was 0.992, which was statistically higher than all individual parameters (DeLong's;
conclusionsCorneal biomechanical data enhances the evaluation of patients with corneal ectasia and meaningfully adds to the multimodal diagnostic armamentarium. The integration of biomechanical data and corneal tomography with artificial intelligence data augments the sensitivity and specificity for screening and enhancing early diagnosis. Besides, corneal biomechanics may be relevant for determining the prognosis and staging the disease.
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