4.2 Article

Comparative analysis of the morphological and biomechanical properties of normal cornea and keratoconus at different stages

期刊

INTERNATIONAL OPHTHALMOLOGY
卷 41, 期 11, 页码 3699-3711

出版社

SPRINGER
DOI: 10.1007/s10792-021-01929-4

关键词

Keratoconus; Corneal morphology; Corneal biomechanics; Corneal visualization Scheimpflug technology

资金

  1. National Natural Science Foundation of China [31600758]
  2. Beijing Nova Program [Z181100006218099]
  3. Open Research Fund from Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing Tongren Hospital, Beihang University & Capital Medical University [BHTRKFJJ-202001]

向作者/读者索取更多资源

The study compared the morphological and biomechanical properties of normal cornea and keratoconus at different stages. Results showed significant differences in parameters between keratoconic eyes and normal eyes, with BAD-D and TBI being effective in diagnosing keratoconus at different stages.ROC curve demonstrated high efficiency in diagnosing keratoconus, with TBI showing consistent diagnostic efficiency across all stages.
Purpose To compare the morphological and biomechanical properties of normal cornea and keratoconus at different stages. Methods A 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. Results Each 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-Ambrosio 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. Conclusion BAD-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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