Journal List > J Korean Ophthalmol Soc > v.56(10) > 1010110

Kim, Lee, Jung, Kim, Lee, Seo, Kim, and Kim: Comparison of Ocular Biometry Using Low-Coherence Reflectometry with Other Devices for Intraocular Lens Power Calculation

Abstract

Purpose

To compare axial length (AL) and keratometry (K) using optical low-coherence reflectometry (OLCR, Lenstar LS900®, Haag- Streit, Bern, Switzerland) with current ocular biometry devices and evaluate the accuracy of intraocular lens (IOL) power calculation.

Methods

In this prospective, comparative observational study of eyes with cataracts, AL and K were measured using an OLCR device (Lenstar LS900®, Haag-Streit), partial coherence interferometry (PCI, IOL Master®, Carl Zeiss, Jena, Germany), A-scan (Eyecubed) and automated keratometry (KR-7100, Topcon, Tokyo, Japan). IOL power calculation was performed using the Sanders-Retzlaff-Kraff (SRK/T) formula. The IOL prediction error (PE) was calculated by subtracting the predicted IOL power from the postoperative (PO) IOL power (PO 4 weeks, PO 12 weeks).

Results

A total of 50 eyes of 39 patients with cataracts (mean age 67.12 ± 8.51 years) were evaluated in this study. AL and K were not significantly different between the OLCR device and other devices (analysis of variance [ANOVA], p = 0.946, 0.062, re-spectively). The mean PE in IOL power calculation was -0.22 ± 0.50D with the OLCR device, 0.08 ± 0.45D with the PCI device and -0.01 ± 0.48D with A-scan and automated keratometry (ANOVA, p = 0.006). The highest percentage of eyes with PE smaller than ± 0.5D was IOL Master® followed by Eyecubed and then Lenstar LS900®. The mean absolute PE was not statistically sig-nificant among the 3 devices (ANOVA, p = 0.684).

Conclusions

Ocular biometry measurements were comparable between the OLCR device and the PCI ultrasound device. However, the IOL power prediction showed significant differences among the 3 devices. Therefore, the differences in application of these devices should be considered.

References

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Figure 1.
Correlation between biometric data (axial length, keratometry) measured by Lenstar LS900® and other devices (Pearson correlation analysis). Axial length measured by Lenstar LS900® and IOL Master® (A) and A-scan (B). Keratometry measured by Lenstar LS900® and IOL Master® (C) and autokeratometer (D).
jkos-56-1558f1.tif
Figure 2.
Bland-Altman plot of axial length between Lenstar LS900® and IOL Master® (A), Lenstar LS900® and A-scan (B), kera-tometry between Lenstar LS900® and IOL Master® (C), Lenstar LS900® and autokeratometer (D). LOA=limit of agreement.
jkos-56-1558f2.tif
Table 1.
Comparison of biometric data (axial length, keratometry) by Lenstar LS900®, IOL Master®, A-scan and automated keratometry
Lenstar LS900® IOL Master® A-scan Automated keratometry p-value*
Axial length (mm) 23.63 ± 0.71 23.58 ± 0.68 23.60 ± 0.70 - 0.946
Keratometry (D)
 K1 43.77 ± 1.40 44.18 ± 1.32 - 43.86 ± 1.40 0.302
 K2 44.78 ± 1.39 45.49 ± 1.42 - 44.71 ± 1.33 0.009
 Average K 44.27 ± 1.36 44.83 ± 1.33 - 44.29 ± 1.34 0.062

Values are presented as mean ± SD unless otherwise indicated. D = diopters; K = keratometry.

* Analysis of variance (ANOVA).

Table 2.
Comparison of PE among LS900®, IOL Master® and A-scan
Lenstar LS900® IOL Master® A-scan p-value*
PE (D)
 4 weeks -0.15 ± 0.47 0.15 ± 0.43 0.07 ± 0.44 0.003
 12 weeks -0.22 ± 0.50 0.08 ± 0.45 -0.01 ± 0.48 0.006
Absolute PE (D)
 4 weeks 0.41 ± 0.27 0.34 ± 0.30 0.34 ± 0.28 0.388
 12 weeks 0.41 ± 0.36 0.36 ± 0.27 0.37 ± 0.30 0.684
Range (D)
 4 weeks -1.30~1.02 -0.69~1.25 -0.96~1.28
 12 weeks -1.28~1.00 -0.76~1.21 -0.93~1.28
Eyes within (%)
 ±0.25D 4 weeks 34 46 52
12 weeks 44 46 46
 ±0.5D 4 weeks 70 80 84
12 weeks 68 78 70
 ±1.0D 4 weeks 94 94 96
12 weeks 91 98 98
 ±1.5D 4 weeks 100 100 100
12 weeks 100 100 100

Values are presented as mean ± SD unless otherwise indicated. PE = prediction error; D = diopters.

* Analysis of variance (ANOVA).

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