Development\ufeff of fully automated anterior chamber cell analysis based on image software

Tae Seen Kang,Woong-Sub Lee,Yeongseop Lee,Woohyuk Lee,Yong Seop Han,Seongjin Lee,Jin Hyun Kim,Kyonghoon Kim

doi:10.1038/s41598-021-89794-0

Abstract

Optical coherence tomography (OCT) is a noninvasive method that can quickly and accurately examine the eye at the cellular level. Several studies have used OCT for analysis of anterior chamber cells. However, these studies have several limitations. This study was performed to supplement existing reports of automated analysis of anterior chamber cell images using spectral domain OCT (SD-OCT) and to compare this method with the Standardization of Uveitis Nomenclature (SUN) grading system. We analyzed 2398 anterior segment SD-OCT images from 34 patients using code written in Python. Cell density, size, and eccentricity were measured automatically. Increases in SUN grade were associated with significant cell density increases at all stages (p < 0.001). Significant differences were observed in eccentricity in uveitis, post-surgical inflammation, and vitreous hemorrhage (p < 0.001). Anterior segment SD-OCT is reliable, fast, and accurate means of anterior chamber cell analysis. This method showed a strong correlation with the SUN grade system. Also, eccentricity could be helpful as a supplementary evaluation tool.

Highlights

Optical coherence tomography (OCT) is a noninvasive method that can quickly and accurately examine the eye at the cellular level
The grades may vary depending on the intensity and area of light[4], and an increase in the number of blood cells may lead to extended examination and inaccurate r esults[3]
1756 images were from examinations of eyes in which cells were currently or had previously been seen in the anterior chamber under slit lamp examination, while 642 images were of the opposite eye, which was clinically normal

Summary

Introduction

Optical coherence tomography (OCT) is a noninvasive method that can quickly and accurately examine the eye at the cellular level. This study was performed to supplement existing reports of automated analysis of anterior chamber cell images using spectral domain OCT (SD-OCT) and to compare this method with the Standardization of Uveitis Nomenclature (SUN) grading system. Anterior segment SD-OCT is reliable, fast, and accurate means of anterior chamber cell analysis This method showed a strong correlation with the SUN grade system. The anatomical structure of the anterior segment can be identified in a noninvasive manner and at very high resolution at the cellular level Due to these advantages, several studies have used OCT for analysis of anterior chamber c ells[5,6,7,8,9,10,11,12,13,14]. We analyzed anterior chamber cells using spectraldomain OCT (SD-OCT) images, developed an automated program, and compared with existing SUN grading

Methods

Results

Conclusion