The effect of incorrect scanning distance on boundary detection errors and macular thickness measurements by spectral domain optical coherence tomography: A cross sectional study

5Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: To investigate the influence of scan distance on retinal boundary detection errors (RBDEs) and retinal thickness measurements by spectral domain optical coherence tomography (SD-OCT). Methods: 10 eyes of healthy subjects, 10 eyes with diabetic macular edema (DME) and 10 eyes with neovascular age-related macular degeneration (AMD) were examined with RTVue SD-OCT. The MM5 protocol was used in two consecutive sessions to scan the macula. For the first session, the device was set 3.5 cm from the eye in order to obtain detectable signal with low fundus image quality (suboptimal setting) while in the second session a distance of 2.5 cm was set with a good quality fundus image. The signal strength (SSI) value was recorded. The score for retinal boundary detection errors (RBDE) was calculated for ten scans of each examination. RBDE scores were recorded for the whole scan and also for the peripheral 1.0 mm region. RBDE scores, regional retinal thickness values and SSI values between the two sessions were compared. The correlation between SSI and the number of RBDEs was also examined. Results: The SSI was significantly lower with suboptimal settings compared to optimal settings (63.9±12.0 vs. 68.3±12.2, respectively, p = 0.001) and the number of RBDEs was significantly higher with suboptimal settings in the "all-eyes" group along with the group of healthy subjects and eyes with DME (9.1±6.5 vs. 6.8±6.3, p = 0.007; 4.4±2.6 vs. 2.5±1.6, p = 0.035 and 9.7±3.3 vs. 5.1±3.7, p = 0.008, respectively). For these groups, significant negative correlation was found between the SSI and the number of RBDEs. In the AMD group, the number of RBDEs was markedly higher compared to the other groups and there was no difference in RBDEs between optimal and suboptimal settings with the errors being independent of the SSI. There were significantly less peripheral RBDEs with optimal settings in the "all-eyes" group and the DME subgroup (2.7±2.6 vs. 4.2±2.8, p = 0.001 and 1.4±1.7 vs. 4.1±2.2, p = 0.007, respectively). Retinal thickness in the two settings was significantly different only in the outer-superior region in DME. Conclusions: Optimal distance settings improve SD-OCT SSI with a decrease in RBDEs while retinal thickness measurements are independent of scanning distance.

References Powered by Scopus

Optical Coherence Tomography of the Human Retina

1467Citations
N/AReaders
Get full text

Imaging of Macular Diseases with Optical Coherence Tomography

1163Citations
N/AReaders
Get full text

Quantitative Assessment of Macular Edema With Optical Coherence Tomography

638Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Compensation for reflectance variation in vessel density quantification by optical coherence tomography angiography

86Citations
N/AReaders
Get full text

Microvasculature dropout detected by the optical coherence tomography angiography in nonarteritic anterior ischemic optic neuropathy

43Citations
N/AReaders
Get full text

Effect of Altered OCT Image Quality on Deep Learning Boundary Segmentation

28Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Varga, B. E., Tátrai, E., DeBuc, D. C., & Somfai, G. M. (2014). The effect of incorrect scanning distance on boundary detection errors and macular thickness measurements by spectral domain optical coherence tomography: A cross sectional study. BMC Ophthalmology, 14(1). https://doi.org/10.1186/1471-2415-14-148

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 7

70%

Researcher 2

20%

Professor / Associate Prof. 1

10%

Readers' Discipline

Tooltip

Medicine and Dentistry 8

67%

Nursing and Health Professions 2

17%

Agricultural and Biological Sciences 1

8%

Computer Science 1

8%

Save time finding and organizing research with Mendeley

Sign up for free