PURPOSE: To determine the clinical practicability of in vivo dynamic corneal imaging (DCI) to assess the individual elastic properties of normal human eyes, eyes with abnormal findings, and eyes after refractive surgery. SETTING: University Eye Clinic, Paracelsus Private Medical University, Salzburg, Austria. METHODS: The DCI method uses sagittal, stepwise, central indentation of the cornea with electronically controlled microprecision motors and sequential registration of videotopography images. The indentation steps are preselected and range from 50 to 800 mum. The computerized analysis of the videotopography images captured during the process uses Zernike polynomials to establish a newly defined flexing curve for normal eyes and eyes with abnormal findings. RESULTS: Dynamic corneal imaging was done in 187 eyes of 103 patients who had clinically healthy corneas, distinct keratoconus, or previous refractive surgery. The method rapidly evaluated artificially and reversibly induced changes in corneal topography in a clinical setting using a modified Placido disk-based computer-assisted videokeratography system with a small cone. In early analysis, the flexing curve showed a significant correlation with the applied indentation depth. Factors influencing the shape of the curve were central corneal thickness, intraocular pressure, and patient age. The DCI method also allowed easy examination of keratoconic corneas and corneas after refractive surgery. CONCLUSIONS: Dynamic corneal imaging induced a reproducible and reversible change in corneal topography corresponding to the different indentation depths. The results indicate that several clinical parameters are correlated with corneal elastic behavior in vivo and that the technology could increase the predictability of refractive corneal surgery and help in the early diagnosis of corneal diseases and with newly developed therapies.
PURPOSE: To determine the clinical practicability of in vivo dynamic corneal imaging (DCI) to assess the individual elastic properties of normal human eyes, eyes with abnormal findings, and eyes after refractive surgery. SETTING: University Eye Clinic, Paracelsus Private Medical University, Salzburg, Austria. METHODS: The DCI method uses sagittal, stepwise, central indentation of the cornea with electronically controlled microprecision motors and sequential registration of videotopography images. The indentation steps are preselected and range from 50 to 800 mum. The computerized analysis of the videotopography images captured during the process uses Zernike polynomials to establish a newly defined flexing curve for normal eyes and eyes with abnormal findings. RESULTS: Dynamic corneal imaging was done in 187 eyes of 103 patients who had clinically healthy corneas, distinct keratoconus, or previous refractive surgery. The method rapidly evaluated artificially and reversibly induced changes in corneal topography in a clinical setting using a modified Placido disk-based computer-assisted videokeratography system with a small cone. In early analysis, the flexing curve showed a significant correlation with the applied indentation depth. Factors influencing the shape of the curve were central corneal thickness, intraocular pressure, and patient age. The DCI method also allowed easy examination of keratoconic corneas and corneas after refractive surgery. CONCLUSIONS: Dynamic corneal imaging induced a reproducible and reversible change in corneal topography corresponding to the different indentation depths. The results indicate that several clinical parameters are correlated with corneal elastic behavior in vivo and that the technology could increase the predictability of refractive corneal surgery and help in the early diagnosis of corneal diseases and with newly developed therapies.
Authors: Jiasong Li; Shang Wang; Ravi Kiran Manapuram; Manmohan Singh; Floredes M Menodiado; Salavat Aglyamov; Stanislav Emelianov; Michael D Twa; Kirill V Larin Journal: J Biomed Opt Date: 2013-12 Impact factor: 3.170
Authors: J M González-Méijome; J Jorge; A Queirós; P Fernandes; R Montés-Micó; J B Almeida; M A Parafita Journal: Br J Ophthalmol Date: 2006-08-02 Impact factor: 4.638
Authors: Srilatha Vantipalli; Jiasong Li; Manmohan Singh; Salavat R Aglyamov; Kirill V Larin; Michael D Twa Journal: Optom Vis Sci Date: 2018-04 Impact factor: 1.973
Authors: Nery Garcia-Porta; Paulo Fernandes; Antonio Queiros; Jose Salgado-Borges; Manuel Parafita-Mato; Jose Manuel González-Méijome Journal: ISRN Ophthalmol Date: 2014-03-04