ArticleInternational journal of ophthalmology2021
Evaluation of corneal topographic, tomographic and biomechanical indices for detecting clinical and subclinical keratoconus: a comprehensive three-device study.
Article in International journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Early Detection of Keratoconus: Diagnostic Advances and Their Impact on Visual Outcomes: A Systematic Review.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Comparison of different corneal imaging modalities using artificial intelligence for diagnosis of keratoconus: a systematic review and meta-analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024Pooled it
- Concordance of Corneal Tomographic Measurements Obtained via Swept-Source Optical Coherence Tomography Versus Scheimpflug Tomography.Bioengineering (Basel, Switzerland) · 2026Article
- Three-Year Visual, Tomographic, and Corvis ST-Derived Biomechanical Outcomes After Combined Intrastromal Ring Implantation and Corneal Collagen Cross-Linking for Keratoconus.Vision (Basel, Switzerland) · 2026Article
- A deep learning approach for keratoconus detection using spatio-temporal features from corneal imaging.Scientific reports · 2026Article
- Review
- Article
- Evaluation of Factors Influencing Quality of Life in Keratoconus Patients Using the Keratoconus Outcomes Research Questionnaire (KORQ).Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Article
- Artificial intelligence for diagnosis of keratoconus using Scheimpflug based corneal tomography.International journal of 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
- Keratoconus diagnosis based on macro-micro corneal characteristics via optical coherence tomography.Biomedical optics express · 2025Article
- Extremely asymmetric ectasia: Tomographically unilateral keratoconus.Acta ophthalmologica · 2025Article
- Highly efficient stacking ensemble learning model for automated keratoconus screening.Eye and vision (London, England) · 2025Article
- Early diagnosis of keratoconus using corneal biomechanics and OCT derived technologies.Eye and vision (London, England) · 2025Review
- Evaluation of indices for the assessment and classification of keratoconus based on optical coherence tomography and Scheimpflug technology.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Strategies for Early Keratoconus Diagnosis: A Narrative Review of Evaluating Affordable and Effective Detection Techniques.Journal of clinical medicine · 2025Review
- Understanding Keratoconus in Down Syndrome: From Etiology to Management - A Narrative Review.Clinical ophthalmology (Auckland, N.Z.) · 2025Review
- The Combined Utilization of Epithelial Thickness and Tomographic Parameters in Keratoconus Detection.Journal of ophthalmology · 2025Article
- Comparison of biomechanical indices measured by ocular response analyzer between children and elderly: a systematic review.International journal of ophthalmology · 2025Review
- The Role of Pentacam Random Forest Index in Detecting Subclinical Keratoconus in a Chinese Cohort.Diagnostics (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo evaluate the diagnostic ability of topographic and tomographic indices with Pentacam and Sirius as well as biomechanical parameters with Corvis ST for the detection of clinical and subclinical forms of keratoconus (KCN).
methodsIn this prospective diagnostic test study, 70 patients with clinical KCN, 79 patients with abnormal findings in topography and tomography maps with no evidence on clinical examination (subclinical KCN), and 68 normal control subjects were enrolled. The accuracy of topographic, tomographic, and biomechanical parameters was evaluated using the area under the receiver operating characteristic curve (AUC) and cross-validation analysis. The Delong method was used for comparing AUCs.
resultsIn distinguishing KCN from normal, all parameters showed statistically significant differences between the two groups (
conclusionIn clinical KCN, all topographic, tomographic, and biomechanical indices have acceptable outcomes in terms of sensitivity and specificity. However, in differentiating subclinical forms of KCN from normal corneas, curvature-based parameters (SIb and IS value) followed by integrated indices (PRFI and TBI) are the most powerful tools for early detection of KCN.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.