Article ; Online: Research progress on prediction of postoperative intraocular lens position.
Indian journal of ophthalmology
2024 Volume 72, Issue Suppl 2, Page(s) S176–S182
Abstract: With the progress in refractive cataract surgery, more intraocular lens (IOL) power formulas have been introduced with the aim of reducing the postoperative refractive error. The postoperative IOL position is critical to IOL power calculations. Therefore, ...
Abstract | With the progress in refractive cataract surgery, more intraocular lens (IOL) power formulas have been introduced with the aim of reducing the postoperative refractive error. The postoperative IOL position is critical to IOL power calculations. Therefore, the improvements in postoperative IOL position prediction will enable better selection of IOL power and postoperative refraction. In the past, the postoperative IOL position was mainly predicted by preoperative anterior segment parameters such as preoperative axial length (AL), anterior chamber depth (ACD), and corneal curvature. In recent years, some novel methods including the intraoperative ACD, crystalline lens geometry, and artificial intelligence (AI) of prediction of postoperative IOL position have been reported. This article attempts to give a review about the research progress on prediction of the postoperative IOL position. |
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MeSH term(s) | Humans ; Lenses, Intraocular ; Artificial Intelligence ; Refraction, Ocular ; Refractive Errors ; Lens, Crystalline/surgery ; Biometry ; Phacoemulsification |
Language | English |
Publishing date | 2024-01-25 |
Publishing country | India |
Document type | Journal Article |
ZDB-ID | 187392-1 |
ISSN | 1998-3689 ; 0301-4738 |
ISSN (online) | 1998-3689 |
ISSN | 0301-4738 |
DOI | 10.4103/IJO.IJO_1839_23 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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