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Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction
BACKGROUND: To evaluate the differences between the predicted and achieved lenticule thickness (ΔLT) after small incision lenticule extraction (SMILE) surgery and investigate relationships between ΔLT and predicted lenticule thickness in SMILE. METHODS: A total of 184 eyes from 184 consecutive patie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079481/ https://www.ncbi.nlm.nih.gov/pubmed/32183750 http://dx.doi.org/10.1186/s12886-020-01374-4 |
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author | Wu, Fang Yin, Houfa Chen, Xinyi Yang, Yabo |
author_facet | Wu, Fang Yin, Houfa Chen, Xinyi Yang, Yabo |
author_sort | Wu, Fang |
collection | PubMed |
description | BACKGROUND: To evaluate the differences between the predicted and achieved lenticule thickness (ΔLT) after small incision lenticule extraction (SMILE) surgery and investigate relationships between ΔLT and predicted lenticule thickness in SMILE. METHODS: A total of 184 eyes from 184 consecutive patients who underwent SMILE were included in this prospective study. One eye for each patient was randomly selected and included for statistical analysis. To achieve emmetropia, nomogram adds 10% correction of spherical refractive. An ultrasound pachymetry measurement and Scheimpflug camera corneal topography were obtained before and at 3 months after SMILE. The achieved lenticule thickness was calculated by comparing the preoperative examinations with postoperative examinations using ultrasound pachymetry and Pentacam software measurements. The pupil center and corneal vertex were selected as the 2 locations for measurement calculation on Pentacam. Analysis of variance (ANOVA) was performed to compare mean pachymetry values using different instruments. Linear regression analyses were performed between the VisuMax readout lenticule thicknesses and the measured maximum corneal change, between ΔLT and predicted lenticule thickness. RESULTS: On average, the achieved lenticule thickness measured with ultrasound pachymetry was 13.02 ± 8.87 μm thinner than the predicted lenticule thickness. The proportion of ΔLT in predicted values is 11.9% (ultrasound) and about 15% (Pentacam). Linear regression analysis showed significant relationships between the predicted and each achieved lenticule thickness. Each ΔLT was significantly related to predicted lenticule thickness (ultrasound: R(2) = 0.242; pupil center from Pentacam: R(2) = 0.230). CONCLUSIONS: An overestimation of achieved lenticule thickness was evident in this study which may exclude eligible SMILE patient. Also, our results showed that 10% increase of spherical refractive correction in the nomogram is appropriate. Furthermore, clinicians should subtract 10% of the predicted lenticule thickness to calculate the residual corneal stroma bed thickness. |
format | Online Article Text |
id | pubmed-7079481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70794812020-03-23 Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction Wu, Fang Yin, Houfa Chen, Xinyi Yang, Yabo BMC Ophthalmol Research Article BACKGROUND: To evaluate the differences between the predicted and achieved lenticule thickness (ΔLT) after small incision lenticule extraction (SMILE) surgery and investigate relationships between ΔLT and predicted lenticule thickness in SMILE. METHODS: A total of 184 eyes from 184 consecutive patients who underwent SMILE were included in this prospective study. One eye for each patient was randomly selected and included for statistical analysis. To achieve emmetropia, nomogram adds 10% correction of spherical refractive. An ultrasound pachymetry measurement and Scheimpflug camera corneal topography were obtained before and at 3 months after SMILE. The achieved lenticule thickness was calculated by comparing the preoperative examinations with postoperative examinations using ultrasound pachymetry and Pentacam software measurements. The pupil center and corneal vertex were selected as the 2 locations for measurement calculation on Pentacam. Analysis of variance (ANOVA) was performed to compare mean pachymetry values using different instruments. Linear regression analyses were performed between the VisuMax readout lenticule thicknesses and the measured maximum corneal change, between ΔLT and predicted lenticule thickness. RESULTS: On average, the achieved lenticule thickness measured with ultrasound pachymetry was 13.02 ± 8.87 μm thinner than the predicted lenticule thickness. The proportion of ΔLT in predicted values is 11.9% (ultrasound) and about 15% (Pentacam). Linear regression analysis showed significant relationships between the predicted and each achieved lenticule thickness. Each ΔLT was significantly related to predicted lenticule thickness (ultrasound: R(2) = 0.242; pupil center from Pentacam: R(2) = 0.230). CONCLUSIONS: An overestimation of achieved lenticule thickness was evident in this study which may exclude eligible SMILE patient. Also, our results showed that 10% increase of spherical refractive correction in the nomogram is appropriate. Furthermore, clinicians should subtract 10% of the predicted lenticule thickness to calculate the residual corneal stroma bed thickness. BioMed Central 2020-03-17 /pmc/articles/PMC7079481/ /pubmed/32183750 http://dx.doi.org/10.1186/s12886-020-01374-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Wu, Fang Yin, Houfa Chen, Xinyi Yang, Yabo Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction |
title | Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction |
title_full | Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction |
title_fullStr | Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction |
title_full_unstemmed | Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction |
title_short | Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction |
title_sort | investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079481/ https://www.ncbi.nlm.nih.gov/pubmed/32183750 http://dx.doi.org/10.1186/s12886-020-01374-4 |
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