激光手术
医学
屈光度
眼科
小切口晶状体摘除术
还原(数学)
折射误差
角膜地形图
角膜磨镶术
角膜
眼病
视力
几何学
数学
作者
Yiqi Luo,Shengyu He,Pei Chen,Huan Yao,Anqi He,Yan Li,Jin Qiu,Min Lan,Jing Zhuang,Keming Yu
出处
期刊:Journal of Refractive Surgery
[SLACK, Inc.]
日期:2022-02-01
卷期号:38 (2): 90-97
被引量:9
标识
DOI:10.3928/1081597x-20211112-01
摘要
To compare small incision lenticule extraction (SMILE) and femtosecond laser-assisted in situ keratomileusis (FS-LASIK) in terms of the predictability of central stromal thickness reduction in eyes with high myopia.In this prospective, randomized contralateral eye trial, 42 patients received SMILE in one eye and FS-LASIK (using the Amaris 750S excimer laser [SCHWIND eye-tech-solutions]) in the fellow eye for the correction of high myopia (manifest refraction spherical equivalent: < -6.00 diopters). Spectral-domain optical coherence tomography was used to measure the central corneal and epithelial thickness. Pre-operative and postoperative values were compared to determine the amount of central stromal reduction achieved.At the 6-month follow-up visit, the amount of central stromal reduction was overestimated by 20.05 ± 5.92 µm in the SMILE group (P < .0001) and underestimated by 8.21 ± 8.14 µm in the FS-LASIK group (P < .0001). The mean actual central stromal reduction achieved with SMILE was significantly less than that achieved with FS-LASIK (10.10 ± 18.01 µm, range: 1.90 to 18.29 µm, P < .001). The discrepancy between the planned and achieved central corneal stromal reduction was not associated with refractive overcorrection or undercorrection in either the SMILE group or the FS-LASIK group (P = .9743 vs P = .0777).In patients with high myopia, the laser software platform may underestimate and overestimate the amount of actual corneal reduction in eyes treated with FS-LASIK and SMILE, respectively. SMILE required less corneal stroma compared to FS-LASIK in the studied cohort using the Amaris 750S excimer laser when correcting a similar spherical equivalent refraction. [J Refract Surg. 2022;38(2):90-97.].
科研通智能强力驱动
Strongly Powered by AbleSci AI