Scheimpflug原理
圆锥角膜
眼科
医学
人口
线性回归
角膜
数学
统计
环境卫生
作者
Elias Flockerzi,Riccardo Vinciguerra,Michael W. Belin,Paolo Vinciguerra,Renato Ambrósio,Berthold Seitz
出处
期刊:Journal of Cataract and Refractive Surgery
[Ovid Technologies (Wolters Kluwer)]
日期:2021-07-29
卷期号:48 (2): 215-221
被引量:32
标识
DOI:10.1097/j.jcrs.0000000000000740
摘要
To investigate the relationship between corneal biomechanics and keratoconus (KC) severity as described by tomographic parameters.University-based German ophthalmology department.Retrospective cross-sectional study.A total of 448 KC corneas of the Homburg Keratoconus Center and 112 healthy corneas (448+112 patients) were examined by Pentacam high-resolution and Corneal Visualization Scheimpflug Technology (Pentacam HR and Corvis ST). The KC population included a wide spectrum of disease severity based on Belin's ABCD classification. Linear regression analysis was performed between the linear term of the Corvis Biomechanical Index (CBI) (CBI beta) and the tomographic values anterior radius of curvature (ARC), posterior radius of curvature (PRC), and thinnest corneal thickness (TCT). A linear transformation of the CBI beta was performed to provide an intuitive scaling, which was referred to as the Corvis Biomechanical Factor (CBiF = -0.24294226 × CBI beta + 6.02). This scaling adjusted the CBI beta to the same scale as posterior corneal curvature (PRC).There was a high correlation of the CBI beta and its modification, the CBiF, with TCT (Pearson, r = -0.775), ARC (r = -0.835), and PRC (r = -0.839) in the KC population (P < .001). In the control corneas, the correlation between the CBI beta and ARC was weak (r = -0.216, P = .022), not significant (PRC, r = -0.146, P = .125), or moderate (TCT, r = -0.628, P < .001).The linear term of the CBI was highly associated with KC severity as defined by corneal tomography. The CBiF represents a new scale based on biomechanical characteristics in KC, which could serve as a basis for a biomechanical KC classification in the future.
科研通智能强力驱动
Strongly Powered by AbleSci AI