ArticleJournal of ophthalmology2026
Research on a New Model for Predicting Vault After Implantable Collamer Lens (ICL) Based on Structural Parameters of the Posterior Chamber.
Article in Journal of ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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3 authors.
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Abstract
Objective: To fit a new prediction model of the implantable collamer lens (ICL) vault including the parameters of the posterior chamber structure and to validate the accuracy of the new model. Methods: Seventy patients (92 eyes) undergoing ICL implantation were enrolled in the prediction model group. Spearman's rank correlation was used for univariate analysis to assess the relationship between postoperative vault and preoperative ocular parameters. A vault prediction model was developed using multiple linear regression. An independent validation cohort comprised 140 patients (204 eyes) who received ICL implantation. All patients completed preoperative ocular examinations. Postoperative vault was measured at 1 month. We calculated the proportion of eyes with optimal vault (250-1000 μm). Agreement between predicted and actual vault was assessed using (1) intraclass correlation coefficient (ICC); (2) Bland-Altman analysis (95% limits of agreement, LoA); and (3) 95% confidence intervals for mean differences. Results: The mean age of the sample included in the prediction model was 28.18 ± 7.07 years. Vault was positively correlated with spherical equivalent (SE), white-to-white (WTW) horizontal corneal diameter, anterior chamber depth (ACD), anterior chamber volume (ACV), horizontal sulcus-to-sulcus (hSTS) diameter, pupil diameter, and maximum ciliary body thickness (CBTmax) and negatively correlated with age, intraocular pressure (IOP), crystalline lens rise (CLR), and trabecular-ciliary process angle (TCA). The vault prediction model (adjusted Conclusion: The vault prediction model, incorporating the posterior chamber structural parameter TCA, demonstrated favorable predictive performance in an independent validation cohort. It may serve as a useful supplementary tool for ICL size selection.
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