ArticleActa ophthalmologica2025
The Homburg-Adelaide toric IOL nomogram: How to predict corneal power vectors from preoperative IOLMaster 700 keratometry and total corneal power in toric IOL implantation.
Article in Acta ophthalmologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Variation in Manifest Subjective Refraction in a Population Screened for Refractive Surgery.Diagnostics (Basel, Switzerland) · 2026Article
- Planning Adjustment of Toric Capsular Bag Intraocular Lens Axis to Minimise Refractive Cylinder Outcome-A Calculation Concept Based on Vergence Transformations.Diagnostics (Basel, Switzerland) · 2026Article
- Real-World Visual and Refractive Results of Two Different Presbyopia Correcting Intraocular Lenses.Journal of clinical medicine · 2025Article
- The Homburg-Adelaide toric IOL nomogram: How to predict corneal power vectors from preoperative IOLMaster 700 keratometry and total corneal power in toric IOL implantation.Acta ophthalmologica · 2025Article
- Repeatability of corneal measurements from the Casia2 anterior segment tomographer in a cataractous population.PloS one · 2025Article
- Article
- Repeatability of biometric measures from the LenStar LS900 in a cataractous population.PloS one · 2025Article
- Predictive Correction Model for Corneal Back Surface Astigmatism With IOLMaster700 Keratometry Data in a Cataractous Population.Clinical & experimental ophthalmologyArticle
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study is to compare the reconstructed corneal power (RCP) by working backwards from the post-implantation spectacle refraction and toric intraocular lens power and to develop the models for mapping preoperative keratometry and total corneal power to RCP.
methodsRetrospective single-centre study involving 442 eyes treated with a monofocal and trifocal toric IOL (Zeiss TORBI and LISA). Keratometry and total corneal power were measured preoperatively and postoperatively using IOLMaster 700. Feedforward neural network and multilinear regression models were derived to map keratometry and total corneal power vector components (equivalent power EQ and astigmatism components C0 and C45) to the respective RCP components.
resultsMean preoperative/postoperative C0 for keratometry and total corneal power was -0.14/-0.08 dioptres and -0.30/-0.24 dioptres. All mean C45 components ranged between -0.11 and -0.20 dioptres. With crossvalidation, the neural network and regression models showed comparable results on the test data with a mean squared prediction error of 0.20/0.18 and 0.22/0.22 dioptres
conclusionsBased on our dataset, both the feedforward neural network and multilinear regression models showed good precision in predicting the power vector components of RCP from preoperative keratometry or total corneal power. With a similar performance in crossvalidation and a simple implementation in consumer software, we recommend implementation of regression models in clinical practice.
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