Minimum Corneal Diameter and Anterior Steep Axis Curvature Share the Same Meridian: A Novel Finding.
Journal
American journal of ophthalmology
ISSN: 1879-1891
Titre abrégé: Am J Ophthalmol
Pays: United States
ID NLM: 0370500
Informations de publication
Date de publication:
12 2023
12 2023
Historique:
received:
17
04
2023
revised:
25
08
2023
accepted:
25
08
2023
medline:
27
11
2023
pubmed:
6
9
2023
entrez:
5
9
2023
Statut:
ppublish
Résumé
To define the external scleral sulcus (ESS) on a Scheimpflug image and use it for a morphometric analysis of corneal diameter (CD). Retrospective, cross-sectional study of pediatric Asian-Indian eyes. One random eye of 353 subjects between 5 and 18 years underwent 25-scan Pentacam HR imaging. For all scans, densitometry values along the anterior corneal edge were recorded and differentiated. The peaks on the differentiated curve were chosen as the ESS points, and this distance between them was called CD. Vertical (vCD), maximum (maxCD), minimum (minCD) CD and their meridians were defined. Multiple regression models (MRMs) with CD and other Pentacam parameters were built to predict astigmatism and its axis, mean keratometry (Kmean), and Belin/Ambrósio enhanced ectasia display deviation (BAD-D). MRMs were validated using intraclass correlation coefficient (ICC). Estimated horizontal CD (hCD) was validated against digital caliper measurement using ICC. The ICC (95% CI) between caliper and hCD was 0.96 (0.93, 0.97). MRM predictions (P < .001) used CD parameters, anterior chamber depth, corneal volume and distance from the corneal thinnest location to apex. These predictions achieved an ICC of 0.34 (0.18, 0.46), 0.82 (0.78, 0.86), 0.87 (0.84, 0.89), and 0.81 (0.76, 0.84), respectively. The astigmatism axis prediction depended on the minCD and maxCD meridians. Its within-subject SD (4.97°) was less than 2 consecutive Pentacam scan angles (7.2°). The CD metric strongly correlated with the astigmatism axis, keratometry, and BAD-D. Its spatial description may be significant in corneal treatment planning and disease diagnoses.
Identifiants
pubmed: 37669730
pii: S0002-9394(23)00353-7
doi: 10.1016/j.ajo.2023.08.017
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
175-185Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.