Three-Dimensional Morphogeometric and Volumetric Characterization of Cornea in Pediatric Patients With Early Keratoconus

Journal ar
American Journal of Ophthalmology
  • Volumen: 222
  • Fecha: 01 febrero 2021
  • Páginas: 102-111
  • ISSN: 18791891 00029394
  • Tipo de fuente: Revista
  • DOI: 10.1016/j.ajo.2020.09.031
  • Tipo de documento: Artículo
  • Editorial: Elsevier Inc.
© 2020 Elsevier Inc.Purpose: To present morphogeometric and volumetric characteristics of the cornea and its diagnostic value in pediatric patients with keratoconus (KC) using 3-dimensional (3-D) corneal modeling. Design: Cross-sectional study. Methods: This single-center (VISSUM Innovation, Alicante, Spain) study comprised 49 eyes of 49 pediatric patients (age ¿16 years) with KC and 31 eyes of 31 healthy pediatric controls. Eyes were graded as early (n = 21) and mild KC (n = 28) based on the RETICS (Thematic Network for Co-Operative Research in Health) classification system. The 3-D corneal model was generated using raw topographic data. Deviation of anterior (Dapexant) and posterior (Dapexpost) apex and minimum thickness points (Dmctant, Dmctpost), Dapexant-Dapexpost difference, total corneal volume (Vtotal), volumetric distribution (VOLAAP, VOLPAP, and VOLMCT), and percentage of relative volume increase (VOLAAPrel, VOLPAPrel, and VOLMCTrel) between 2 consecutive radii centered to anterior/posterior apex and thinnest point were evaluated. Results: Dapexpost and Dapexant-Dapexpost difference were higher in the early and mild KC groups compared to the control group (P < .05). Eyes with early and mild KC had decreased Vtotal compared with the control group (P < .05). Dapexpost, Dapexant-Dapexpost difference, and VOLMCTrel between 1.0 and 1.4 mm diameters had area under receiver operating characteristics curve (AUROC) values over 0.93 in discrimination of early KC from normal. Conclusions: This is the first study presenting morphogeometric and volumetric characterization of cornea in pediatric patients with early and mild KC using a 3-D corneal model. Integration of the morphogeometric and volumetric parameters to topography software can add value in early detection of KC in pediatric patients.

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