J Korean Ophthalmol Soc.  2015 Oct;56(10):1558-1565. 10.3341/jkos.2015.56.10.1558.

Comparison of Ocular Biometry Using Low-Coherence Reflectometry with Other Devices for Intraocular Lens Power Calculation

Affiliations
  • 1The Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, Seoul, Korea. taeimkim@gmail.com
  • 2Department of Ophthalmology, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Korea.
  • 3Department of Ophthalmology, Inha University School of Medicine, Incheon, Korea.
  • 4Myung-Gok Eye Research Institute, Kim's Eye Hospital, Konyang University College of Medicine, Seoul, Korea.

Abstract

PURPOSE
To compare axial length (AL) and keratometry (K) using optical low-coherence reflectometry (OLCR, Lenstar LS900(R), 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(R), Haag-Streit), partial coherence interferometry (PCI, IOL Master(R), 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, respectively). 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(R) followed by Eyecubed and then Lenstar LS900(R). The mean absolute PE was not statistically significant 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.

Keyword

Axial length; IOL-Master; Keratometry; Lenstar LS900; Optical low-coherence reflectometry (OLCR)

MeSH Terms

Biometry*
Cataract
Glycyrrhetinic Acid
Humans
Interferometry
Lenses, Intraocular*
Observational Study
Prospective Studies
Ultrasonography
Glycyrrhetinic Acid

Figure

  • 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).

  • 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.


Cited by  2 articles

Comparison of Ocular Biometry Measurements Using A-Scan Ultrasound and Two Types of Partial Coherence Interferometers
Dae Young Ha, Kang Won Lee, Ji Won Jung
J Korean Ophthalmol Soc. 2016;57(5):757-762.    doi: 10.3341/jkos.2016.57.5.757.

Comparison of Axial Length and Postoperative Refraction between Applanation Ultrasonography and Low-coherence Reflectometry
Yoon Pyo Lee, Young Joo Shin, Kayoung Yi
J Korean Ophthalmol Soc. 2018;59(7):629-636.    doi: 10.3341/jkos.2018.59.7.629.


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