ArticlePloS one2017
A new approach to keratoconus detection based on corneal morphogeometric analysis.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for detecting keratoconus.The Cochrane database of systematic reviews · 2023Pooled it
- Study of the Influence of Boundary Conditions on Corneal Deformation Based on the Finite Element Method of a Corneal Biomechanics Model.Biomimetics (Basel, Switzerland) · 2024Article
- Novel Multivariable Evolutionary Algorithm-Based Method for Modal Reconstruction of the Corneal Surface from Sparse and Incomplete Point Clouds.Bioengineering (Basel, Switzerland) · 2023Article
- A three-dimensional morpho-volumetric similarity study of Down syndrome keratopathy vs. keratoconus.Eye and vision (London, England) · 2023Article
- Quantitative comparison of corneal surface areas in keratoconus and normal eyes.Scientific reports · 2021Article
- Evidence of a Down Syndrome Keratopathy: A Three-Dimensional (3-D) Morphogeometric and Volumetric Analysis.Journal of personalized medicine · 2021Article
- Relationship between Corneal Morphogeometrical Properties and Biomechanical Parameters Derived from Dynamic Bidirectional Air Applanation Measurement Procedure in Keratoconus.Diagnostics (Basel, Switzerland) · 2020Article
- Morphogeometric analysis for characterization of keratoconus considering the spatial localization and projection of apex and minimum corneal thickness point.Journal of advanced research · 2020Article
- Changes in the 3D Corneal Structure and Morphogeometric Properties in Keratoconus after Corneal Collagen Crosslinking.Diagnostics (Basel, Switzerland) · 2020Article
- Anterior and posterior ratio of corneal surface areas: A novel index for detecting early stage keratoconus.PloS one · 2020Article
- Prevalence of Keratoconus and Keratoconus Suspect among Patients Seeking Refractive Surgery in Syria.Middle East African journal of ophthalmologyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo characterize corneal structural changes in keratoconus using a new morphogeometric approach and to evaluate its potential diagnostic ability.
methodsComparative study including 464 eyes of 464 patients (age, 16 and 72 years) divided into two groups: control group (143 healthy eyes) and keratoconus group (321 keratoconus eyes). Topographic information (Sirius, CSO, Italy) was processed with SolidWorks v2012 and a solid model representing the geometry of each cornea was generated. The following parameters were defined: anterior (Aant) and posterior (Apost) corneal surface areas, area of the cornea within the sagittal plane passing through the Z axis and the apex (Aapexant, Aapexpost) and minimum thickness points (Amctant, Amctpost) of the anterior and posterior corneal surfaces, and average distance from the Z axis to the apex (Dapexant, Dapexpost) and minimum thickness points (Dmctant, Dmctpost) of both corneal surfaces.
resultsSignificant differences among control and keratoconus group were found in Aapexant, Aapexpost, Amctant, Amctpost, Dapexant, Dapexpost (all p<0.001), Apost (p = 0.014), and Dmctpost (p = 0.035). Significant correlations in keratoconus group were found between Aant and Apost (r = 0.836), Amctant and Amctpost (r = 0.983), and Dmctant and Dmctpost (r = 0.954, all p<0.001). A logistic regression analysis revealed that the detection of keratoconus grade I (Amsler Krumeich) was related to Apost, Atot, Aapexant, Amctant, Amctpost, Dapexpost, Dmctant and Dmctpost (Hosmer-Lemeshow: p>0.05, R2 Nagelkerke: 0.926). The overall percentage of cases correctly classified by the model was 97.30%.
conclusionsOur morphogeometric approach based on the analysis of the cornea as a solid is useful for the characterization and detection of keratoconus.
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