Abstract
Purpose: To compare the efficacy of a computer-assisted marker system for toric intraocular lenses (IOLs) (Callisto Eye System) with manual marking techniques. Setting: University Eye Hospital Munich, Ludwig-Maximilians-University, Munich, Germany. Design: Prospective case series. Methods: This study included patients having cataract surgery with implantation of a toric IOL (Torbi 709 M). They were randomly assigned to 1 of 2 groups based on the marking system used, manual or digital. Patients were included if they had age-related cataract and a regular comeal astigmatism of 1.25 diopters (D) or higher. Visual and refractive outcomes as well as rotational stability were evaluated. Vector analysis was performed to evaluate total astigmatic changes. Results: The study comprised 57 eyes of 29 patients;there were 28 eyes in the manual group and 29 eyes in the digital group. The mean toric IOL misalignment was significantly lower in the digital group than in the manual group (2.0 degrees +/- 1.86 [SD] versus 3.4 +/- 2.37 degrees;P = .026). The mean deviation from the target induced astigmatism was significantly lower in the digital group (0.10 +/- 0.08 D versus 0.22 +/- 0.14 D;P = .008). During surgery, the mean toric IOL alignment time was significantly shorter in the digital group (37.2 +/- 11.9 seconds versus 59.4 +/- 15.3 seconds;P = .003). The mean overall time required to perform the surgery was significantly shorter in the digital group (727.2 +/- 198.4 seconds versus 1110.0 +/- 382.2 seconds;P < .001). Conclusions: A digital tracking approach for toric IOL alignment was efficient and safe to improve refractive outcomes. Furthermore, image-guided surgery helped streamline the workflow in refractive cataract surgery. (C) 2017 ASCRS and ESCRS
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 0886-3350 |
Sprache: | Englisch |
Dokumenten ID: | 50721 |
Datum der Veröffentlichung auf Open Access LMU: | 14. Jun. 2018, 09:44 |
Letzte Änderungen: | 04. Nov. 2020, 13:28 |