Analysis of biometric parameters of cataract eyes measured with optical biometer Lenstar LS900, IOL Master 700, and OPD-SCAN III

To data, cataract surgery has become one of the most common surgeries in the world [1]. As surgical technique and outcomes have been improved, cataract and refractive surgery has become a routine procedure, not only to restore the clarity of the lens, but also to correct the refractive error of the eye. In order to calculate the power of intraocular lens (IOL) or evaluate refractive and visual outcomes after corneal refractive surgery accurately, it is crucial to measure the biometric parameters precisely such as white to white (WTW) [2], keratometry (K1 and K2) [3], and astigmatism (AST) [4]. Moreover, biometric parameters are associated with ocular disorders such as myopia and hyperopia. Therefore, development of various testing devices has enabled the control of cataract or refractive outcomes with ever-increasing accuracy.

At present, the IOL Master 700 adopts scanning optical coherence tomography (OCT) technology, which has the measurement characteristics of "fixed vision confirmation, scanning light source, and visualization", and it can complete the measurement of eye biological parameters in one scan [5,6]. OPD-SCAN III is a corneal refractive analyzer that integrates functions such as wavefront aberration analyzer, corneal topography analyzer, and automatic refractometer [7]. The Lenstar LS900 biometer is a new generation measuring instrument that utilizes optical low coherence reflection (OLCR) measurement technology. It uses 820 nm super radioluminescence diode (SLD) as the light source, and it can simultaneously obtain a variety of biological parameters through a single scan, including WTW.

In clinic, these three devices are commonly used, but there may be differences due to the different theories. Notably, there is still lacking information on comparing the ocular biometry among the three devices: IOL Master 700, Lenstar LS900, and OPD-SCAN III. Hence, this study was aimed to analyse the agreement of ocular biometric indicators measured using those three different devices.

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