{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T23:15:45Z","timestamp":1777158945994,"version":"3.51.4"},"reference-count":27,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Ophthalmologica"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Intraocular lenses with a negative aspherical design for correction of corneal spherical aberration (SA) have gained popularity in recent decades. In most cases, a \u2018one size fits all\u2019 concept is followed, where all eyes receive lenses with the same SA correction. The purpose of this study is to develop a strategy based on raytracing using anterior segment tomography data to extract corneal SA and to provide simple multivariable linear models for prediction of corneal SA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The analysis was based on a large dataset of 8737 measurements of 8737 eyes from 1 clinical centre, using the Casia2 anterior segment tomographer. An optical model based on: corneal front and back surface radius Ra and Rp, asphericities Qa and Qp, corneal thickness CCT, anterior chamber depth ACD, and pupil centre position (X\u2010Y position: Pup<jats:sub>X<\/jats:sub> and Pup<jats:sub>Y<\/jats:sub>), was defined for each measurement. Corneal SA was derived using a 6\u2010mm aperture perpendicular to the incident ray and centred on the chief ray, and linear prediction models were derived for SA using biometric data. Cross\u2010validation was used for model performance evaluation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Using raytracing, the wavefront error within an aperture (6\u2010mm diameter centred on the intersection of the chief ray with the cornea) was calculated and corneal SA was extracted. After identifying the relevant effect sizes (Ra, Qa, Rp Qp, ACD, Pup<jats:sub>X<\/jats:sub> and Pup<jats:sub>Y<\/jats:sub>) using stepwise linear regression, linear mixed\u2010effects models (model 1: all effect sizes, model 2: Ra, Qa, Rp and Qp, model 3: Ra and Qa) were set up on the training data in terms of a Monte\u2010Carlo simulation. On the test data (training data), model 1 with a mean absolute\/root\u2010mean\u2010squared prediction error of 0.0095\/0.0130 (0.0095\/0.0127) performed similarly to model 2 with 0.0097\/0.0131 (0.0096\/0.0127), and both outperformed model3 with 0.0152\/0.0197 (0.0148\/0.0190).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Based on the Casia2 anterior segment tomographer, corneal SA could be derived using shape data (curvature and asphericities) of both corneal surfaces (model 2). This information could easily be used for selection of the appropriate negative aspherical lens design in cataract surgery.<\/jats:p><\/jats:sec>","DOI":"10.1111\/aos.15125","type":"journal-article","created":{"date-parts":[[2022,3,2]],"date-time":"2022-03-02T04:41:29Z","timestamp":1646196089000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Translation model for anterior segment tomographic data to corneal spherical aberration derived from a <scp>Monte\u2010Carlo<\/scp> simulation based on raytracing"],"prefix":"10.1111","volume":"100","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9175-6177","authenticated-orcid":false,"given":"Achim","family":"Langenbucher","sequence":"first","affiliation":[{"name":"Department of Experimental Ophthalmology Saarland University  Homburg\/Saar Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N\u00f3ra","family":"Szentm\u00e1ry","sequence":"additional","affiliation":[{"name":"Dr. Rolf M. 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