Comparison of Lens Extraction Versus Laser Iridotomy on Anterior Segment, Choroid, and Intraocular Pressure in Primary Angle Closure Using Machine Learning

被引:7
作者
Kurysheva, Natalia Ivanovna [1 ,4 ]
Pomerantsev, Alexey Leonidovich [2 ]
Rodionova, Oxana Yevgenievna [2 ]
Sharova, Galina Arkadievna [3 ]
机构
[1] Fed Med & Biol Agcy Russian Federat, Ophthalmol Ctr, Moscow, Russia
[2] RAS, Fed Res Ctr Chem Phys, Moscow, Russia
[3] Ophthalmol Clin Dr Belikova, Moscow, Russia
[4] Med Biol Univ Innovat and Continuing Educ, Dept Eye Dis, AI Burnasyan Fed Med Biophys Ctr, Fed Med Biol Agcy FMBA,Dept Ophthalmol Ctr,Fed Med, 15 Gamalei St, Moscow 123098, Russia
关键词
primary angle closure; laser peripheral iridotomy; choroid; lens extraction; machine learning; data-driven soft independent modeling of class analogies; PERIPHERAL IRIDOTOMY; EARLY PHACOEMULSIFICATION; CATARACT-SURGERY; CLINICAL-OUTCOMES; RANDOMIZED-TRIAL; GLAUCOMA; THICKNESS; EYES; CLASSIFICATION; ASSOCIATION;
D O I
10.1097/IJG.0000000000002145
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Precis:Treatment strategy of primary angle closure (PAC) is not clear due to the large number of clinical and anatomic-topographic parameters in PAC, influencing the treatment algorithm. Using the machine learning method DD-SIMCA, we justify the expediency of early lens extraction (LE) in PAC. Purpose:To compare the anatomic and functional efficacy of LE and laser peripheral iridotomy (LPI) in patients with PAC using Machine Learning. Materials and Methods:This prospective study included 120 patients aged 41-80 years: 60 eyes with PAC, 30 with PAC suspects, and 30 with healthy eyes (control). Thirty PAC eyes with intraocular pressure (IOP) up to 30 mm Hg were treated using LE with intraocular lens implantation and 30 eyes with LPI. All subjects underwent Swept Source optical coherence tomography. We analyzed 35 parameters of each eye including the lens vault, the choroidal thickness, the anterior chamber angle, and iris specifications such as iris curvature. Considering the correlations between them, the machine learning method DD-SIMCA 1-class classification was applied: the proximity of each sample to the target class (control) was characterized by the total distance to it. Results:After LE, IOP was significantly lower than after LPI (P=0). Every third eye with PAC after LE reached the target class: specificity according to DD-SIMCA equals 0.67. This was not observed for the eyes after LPI: specificity equals 1.0. After LE, all parameters of the anterior chamber angle did not differ from the control (all P>0.05). After LPI, there was an increase in anterior chamber depth (P=0) and a decrease in lens vault (P=0), but results comparable to the control were achieved only for iris curvature (P=1.000). Conclusion:The efficacy of LE in PAC is higher than LPI due to the better postoperative anterior chamber topography and lower IOP. This study lends further clinical and anatomic support to the emerging notion of LE as an effective treatment for PAC.
引用
收藏
页码:E43 / E55
页数:13
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