Related Experiment Video
Updated: Jun 30, 2026

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
Published on: July 24, 2020
Axial length correction in retinal thickness measurements in diabetic retinopathy
Shuji Mukawa1, Takao Hirano2, Yoshiaki Chiku1
1Department of Ophthalmology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan.
Purpose:
To use the RS-1 Glauvas (NIDEK) system to evaluate the effect of axial length (AL) correction on retinal thickness (RT) with optical coherence tomography (OCT).
Study Design:
Observational, cross-sectional study.
Methods:
Between November 2023 and April 2024, 165 eyes from patients with diabetes underwent OCT imaging. RT was measured with and without AL-based magnification correction with the Early Treatment Diabetic Retinopathy Study (ETDRS) grid, which comprises three concentric circles (diameters; 1, 3, and 6 mm), with the inner and outer rings divided into superior, temporal, nasal, and inferior sectors. Measurements were calculated using two settings: a fixed AL of 24 mm (uncorrected) and the individually measured AL for each eye (corrected). The difference between uncorrected and corrected RT measurements was analyzed using Bland-Altman analysis. Linear regression analysis was performed to assess the association between AL and the measurement difference.
Results:
The mean AL was 23.9 ± 1.2 mm. Bland-Altman analysis for central subfield thickness (CST) showed a small mean difference between corrected and uncorrected measurements (bias -0.34 µm; 95% limits of agreement -6.32 to 5.63 µm). Linear regression demonstrated a significant positive association between AL and the difference in CST measurements (R2 = 0.70, p < 0.0001), indicating that uncorrected measurements tended to underestimate and overestimate RT in eyes with shorter and longer AL, respectively.
Conclusion:
AL differences affect the effective OCT scan area and may influence RT measurements. Applying AL correction minimizes measurement bias caused by transverse magnification and improves the accuracy of RT assessment.
