Labiris Georgios, Bakirtzis Minas, Panagis Christos, Mitsi Christina, Vorgiazidou Eleftheria, Konstantinidis Aristeidis, Delibasis Konstantinos K
Department of Ophthalmology, University Hospital of Alexandroupolis, Alexandroupolis, Greece.
Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Clin Ophthalmol. 2024 Dec 25;18:3935-3947. doi: 10.2147/OPTH.S487400. eCollection 2024.
To identify the minimally required number of distances of visual acuity (VA) measurements for the reliable estimation of the visual acuity curve (VAC) and area of the curve (AoC) in presbyopia correction.
The study was divided into a validation and a clinical phase with a total recruitment of 120 participants (120 eyes) who underwent uncomplicated pseudophakic presbyopia surgery with bilateral premium intraocular lenses (IOL) implantation. This study was conducted in the Department of Ophthalmology, University Hospital of Alexandroupolis, Alexandroupolis, Greece. Postoperative VAC and AoC were calculated with VA measurements taken at nine pre-defined distances. A mathematical model based on cubic spline interpolation was developed and assessed comparing the VAC and AoC values obtained using nine distances, with the ones predicted when a subset of VA measurements was inserted into the model.
Less than four measurements resulted in unreliable VAC and AoC assessment. Optimal distances for four to six VA measurements were determined. Mean error in the prediction of VAC and AoC of the clinical group ranged from 2.54 Letters/1.74% (6 measurements) to 2.90 letters/2.9% (4 measurements), respectively.
Mathematical models that use cubic spline interpolation provide reliable VAC and AoC estimation, even with four VA measurements, when obtained at specific distances.
确定在老视矫正中,为可靠估计视力曲线(VAC)和曲线面积(AoC)所需的最低视力(VA)测量距离数量。
本研究分为验证阶段和临床阶段,共招募了120名参与者(120只眼),他们接受了双侧高端人工晶状体(IOL)植入的无并发症假晶状体老视手术。本研究在希腊亚历山德鲁波利斯大学医院眼科进行。术后VAC和AoC通过在九个预先定义的距离处进行的VA测量来计算。开发并评估了一个基于三次样条插值的数学模型,将使用九个距离获得的VAC和AoC值与将一部分VA测量值插入模型时预测的值进行比较。
少于四次测量会导致VAC和AoC评估不可靠。确定了四至六次VA测量的最佳距离。临床组VAC和AoC预测的平均误差分别为2.54字母/1.74%(6次测量)至2.90字母/2.9%(4次测量)。
使用三次样条插值的数学模型即使在特定距离进行四次VA测量时,也能提供可靠的VAC和AoC估计。