Relationship between retinal nerve fiber layer measurement and signal strength in optical coherence tomography

Ophthalmology. 2008 Aug;115(8):1347-51, 1351.e1-2. doi: 10.1016/j.ophtha.2007.11.027. Epub 2008 Feb 21.

Abstract

Purpose: To examine the relationship between signal strength and retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography (OCT).

Design: Observational cross-sectional study.

Participants: Forty normal subjects were recruited.

Methods: Retinal nerve fiber layer (RNFL) thickness was measured by Stratus OCT (Carl Zeiss Meditec, Dublin, CA). In each eye, the focusing knob was adjusted to obtain 6 images with different signal strengths ranging from 5 to 10. The relationships between signal strength and RNFL thickness were examined using the Spearman correlation coefficient. The differences of RNFL thicknesses were compared with repeated-measures analysis of variance.

Main outcome measures: Retinal nerve fiber layer thicknesses measured at different signal strengths.

Results: Significant differences were observed between measurements obtained at signal strength of 10 and those obtained with signal strength of less than 10 at the superior, nasal, and temporal clock hours. RNFL thickness generally increased with the signal strength, with significant correlations found with the total average, superior, and nasal clock hours RNFL thicknesses.

Conclusions: Optical coherence tomography RNFL measurements vary significantly with signal strength. Obtaining the maximal possible signal strength is recommended for RNFL thickness measurement.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Cross-Sectional Studies
  • Female
  • Glaucoma / diagnosis
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Male
  • Middle Aged
  • Nerve Fibers*
  • Ocular Hypertension / diagnosis
  • Optic Disk / anatomy & histology*
  • Optic Nerve Diseases / diagnosis
  • Retinal Ganglion Cells / cytology*
  • Tomography, Optical Coherence / methods*
  • Visual Fields