ArticleInternational ophthalmology2021
Comparative analysis of the morphological and biomechanical properties of normal cornea and keratoconus at different stages.
Article in International ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Sex hormone-mediated corneal remodeling in keratoconus: a multivariate analysis of tomographic and biomechanical variations across gender, age, and menstrual phases.BMC ophthalmology · 2026Article
- Artificial Intelligence-Derived Biomechanical Index for Early Corneal Ectasia Detection: Advancing Beyond Tomography.Ophthalmology science · 2026Article
- The Effects of Eye Rubbing on Corneal Topography and Biomechanics in Children With Allergic Conjunctivitis.Translational vision science & technology · 2025Observational
- A Hybrid Transformers-based Convolutional Neural Network Model for Keratoconus Detection in Scheimpflug-based Dynamic Corneal Deformation Videos.Journal of ophthalmic & vision research · 2025Article
- [Corneal biomechanics before and after cross-linking in patients with keratoconus].Die Ophthalmologie · 2023Article
- Detection ability of corneal biomechanical parameters for early diagnosis of ectasia.Eye (London, England) · 2023Article
- Analysis of the diagnostic accuracy of Belin/Ambrósio Enhanced Ectasia and Corvis ST parameters for subclinical keratoconus.International ophthalmology · 2023Article
- Eccentric Pathology in Keratoconus Exhibits Stiffer Biomechanical Response than Central Pathology.Ophthalmology scienceArticle
- Keratoconus Detection-based on Dynamic Corneal Deformation Videos Using Deep Learning.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
purposeTo compare the morphological and biomechanical properties of normal cornea and keratoconus at different stages.
methodsA total of 408 patients (517 eyes) with keratoconus were included in this study. According to the Topographic Keratoconus (TKC) grading method, keratoconus was divided into stage I (TKC = 1, 130 eyes), stage II (TKC = 1-2, 2, 164 eyes), stage III (TKC = 2-3, 3, 125 eyes) and stage IV (TKC = 3-4, 4, 98 eyes). A total of 158 normal subjects (158 eyes) were recruited as the normal group. The corneal morphological parameters and biomechanical parameters were obtained with Scheimpflug tomography (Pentacam) and corneal visualization Scheimpflug technology (Corvis ST), and the receiver operating characteristic (ROC) curves were drawn.
resultsEach corneal morphological and most biomechanical parameters of the keratoconic eyes were significantly different from those of the normal eyes in this study (p < 0.001). ROC curve demonstrated that most parameters in this study showed high efficiency in diagnosing keratoconus (the area under the ROC (AUC) was > 0.9), with the Belin-Ambrósio deviation (BAD-D) and Tomographic and Biomechanical Index (TBI) showing higher efficiency. The efficiency of BAD-D and TBI was high in differentiating keratoconus at different stages (AUC > 0.963). The comparison of ROC curves of keratoconus at different stages did not reveal statistically significant differences for TBI.
conclusionBAD-D and TBI can effectively diagnose stage I keratoconus. Moreover, the efficiency of TBI is the same in diagnosing keratoconus at all stages, while the diagnostic efficiency of other parameters increases with the increase in keratoconus stages.
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