{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T05:04:39Z","timestamp":1771131879881,"version":"3.50.1"},"reference-count":31,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T00:00:00Z","timestamp":1761350400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T00:00:00Z","timestamp":1761350400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100015822","name":"Fondazione Roma","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100015822","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003196","name":"Ministero della Salute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Exper Ophthalmology"],"published-print":{"date-parts":[[2026,1]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background<\/jats:title>\n \n To develop and validate various models to predict total keratometry (\n TK<\/jats:styled-content>\n ) power vector components\n TKC0<\/jats:styled-content>\n and\n TKC45<\/jats:styled-content>\n from classical keratometry (K)\n KC0<\/jats:styled-content>\n and\n KC45<\/jats:styled-content>\n based on a large dataset of pre cataract surgery\n IOLMaster<\/jats:styled-content>\n 700 measurements.\n <\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n Retrospective cross\u2010sectional multicentric study evaluating a dataset containing 13\u20096378\n IOLMaster<\/jats:styled-content>\n 700 measurements including K and\n TK<\/jats:styled-content>\n . Left eyes were mirrored about the facial axis. Based on 80% training data, we developed a global and segmented constant model (\n CM<\/jats:styled-content>\n and\n CMS<\/jats:styled-content>\n ), a global and segmented (according to the angle\n A1<\/jats:styled-content>\n of the flat keratometric meridian) linear model (\n LM<\/jats:styled-content>\n and\n LMS<\/jats:styled-content>\n ), a harmonic model (\n HM<\/jats:styled-content>\n ) and compared these to a classical constant (\n CMR<\/jats:styled-content>\n ) and linear models (\n LMR<\/jats:styled-content>\n ) segmented into with\u2010the\u2010rule, against\u2010the\u2010rule and oblique astigmatism. The performance was cross\u2010validated using the root\u2010mean\u2010squared model fit error (\n RMSE<\/jats:styled-content>\n ).\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n In the 20% test data, RMSE was 0.173 D before correction and was reduced by 40%\u201342% to 0.100 and 0.104 D with the correction models. The segmented models performed slightly better than the global models, and the linear models performed slightly better than the constant models. With the individually adjusted changepoints, the CMS and LMS performed slightly better than the reference models CMR and LMR. There was no systematic difference between the RMSE with training and test data, indicating no overfit of the models.<\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n As the performance is quite similar for all tested correction models, we recommend using a simple global constant model to predict TK vector components. This could easily be implemented in any consumer software.<\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/ceo.70009","type":"journal-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T13:28:22Z","timestamp":1761398902000},"page":"21-32","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Predictive Correction Model for Corneal Back Surface Astigmatism With\n IOLMaster700<\/scp>\n Keratometry Data in a Cataractous Population"],"prefix":"10.1111","volume":"54","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":"Peter","family":"Hoffmann","sequence":"additional","affiliation":[{"name":"Augen\u2010und Laserklinik Castrop\u2010Rauxel Castrop\u2010Rauxel Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan","family":"Cayless","sequence":"additional","affiliation":[{"name":"School of Physical Sciences The Open University Milton Keynes UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N\u00f3ra","family":"Szentm\u00e1ry","sequence":"additional","affiliation":[{"name":"Department of Experimental Ophthalmology Saarland University Homburg (Saar) Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1090-5025","authenticated-orcid":false,"given":"Kamran","family":"Riaz","sequence":"additional","affiliation":[{"name":"Dean McGee Eye Institute University of Oklahoma Oklahoma City Oklahoma USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Damien","family":"Gatinel","sequence":"additional","affiliation":[{"name":"Rothschild Foundation Hospital Paris 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