Scientific article
OA Policy
English

Predictability of Astigmatism Correction by Arcuate Incisions with a Femtosecond Laser Using the Gaussian Approximation Calculation

Published inMicromachines, vol. 14, no. 5, 1009
Publication date2023-05-07
First online date2023-05-07
Abstract

Planning astigmatic correction is a complex task. Biomechanical simulation models are useful for predicting the effects of the physical procedure on the cornea. Algorithms based on these models allow preoperative planning and simulate the outcome of patient-specific treatment. The objective of this study was to develop a customised optimisation algorithm and determine the predictability of astigmatism correction by femtosecond laser arcuate incisions. In this study, biomechanical models and Gaussian approximation curve calculations were used for surgical planning. Thirty-four eyes with mild astigmatism were included, and corneal topographies were evaluated before and after femtosecond laser-assisted cataract surgery with arcuate incisions. The follow-up time was up to 6 weeks. Retrospective data showed a significant reduction in postoperative astigmatism. A total of 79.4% showed a postoperative astigmatic value less than 1 D. Clinical refraction was significantly reduced from −1.39 ± 0.79 D preoperatively to −0.86 ± 0.67 D postoperatively (p 0.02). A positive reduction in topographic astigmatism was also observed (p < 0.00). The best-corrected visual acuity increased postoperatively (p < 0.001). We can conclude that customised simulations based on corneal biomechanics are a valuable tool for correcting mild astigmatism with corneal incisions in cataract surgery to improve postoperative visual outcomes.

Keywords
  • Arcuate incisions
  • Customised surgery calculation
  • Femtosecond laser
Citation (ISO format)
SANMILLAN, Isabel Llopis et al. Predictability of Astigmatism Correction by Arcuate Incisions with a Femtosecond Laser Using the Gaussian Approximation Calculation. In: Micromachines, 2023, vol. 14, n° 5, p. 1009. doi: 10.3390/mi14051009
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Article (Published version)
Identifiers
Additional URL for this publicationhttps://www.mdpi.com/2072-666X/14/5/1009
Journal ISSN2072-666X
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107downloads

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Creation03/07/2023 09:17:15
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