Swept-source optical coherence tomography objective composite activity score for uveitis

PURPOSE

To develop an objective intraocular inflammation composite score.

METHODS

Cross-sectional study. Non-invasive image acquisition and processing were conducted from April 2017 to April 2019. Inflammation-grade stratified eyes from patients with active, inactive uveitis and healthy controls were recruited. After clinical assessment, four anterior and posterior segment image acquisition protocols per eye, using swept-source optical coherence tomography (SS-OCT), were performed at inclusion. Eight imaging biomarkers in three domains: anterior, intermediate and posterior were studied. They were ranked and selected by discriminatory power and correlation with clinical scores. A final SS-OCT-derived composite uveitis activity score (SS-UAS) was developed through multiple linear regression.

RESULTS

We studied 224 eyes with uveitis (165 active and 59 inactive) from 165 patients (mean age 46.6 SD 15.5 years; 55.3% women) and 38 eyes from 19 healthy controls (mean age 43.6 SD 17.1; 47% women). The selected SS-OCT-derived biomarkers to build the final score were anterior chamber hyper-reflective dots (anterior), high-definition relative vitreous intensity (intermediate) and the averaged thickened retinal index (posterior). Swept-source (SS)-UAS was highly discriminant between active and inactive, and between active and healthy eyes (means 2.06 SD 1.86, 0.93 SD 0.44, and 0.96 SD 0.38, respectively, both p -, Mann-Whitney U). Construct validity (Cronbach's alpha = 0.7), internal consistency, criterion validity and reliability (concordance correlation coefficient intra-rater = 0.99, 95% CI: 0.98-0.99; inter-rater = 0.98, 95% CI: 0.96-0.99) were favourable.

CONCLUSIONS

Global intraocular inflammation can potentially be staged and scored objectively, continuously, consistently and in a valid manner through the combined processing of SS-OCT scans.

Extraction of the Polyurethane Layer in Textile Composites for Textronics Applications Using Optical Coherence Tomography

This article presents a new method for the extraction and measurement of the polyurethane layer of Cordura textile composites using optical coherence tomography. The knowledge of coating layer properties in these composites is very important, as it affects mechanical parameters such as stiffness and bending rigidity. Unlike microscopic measurements, which require cross-section samples of the material, the proposed approach is non-invasive. The method is based on detecting the top and bottom boundaries of the polyurethane layer in Optical Coherence Tomography (OCT) images using image processing methods, namely edge enhancement filtering, thresholding and spline smoothing. The cover layer measurement results obtained from a three-dimensional OCT image of the composite fabric are presented as the thickness maps. The average values of the layer thicknesses measured with the OCT method for four types of Cordura showed a high correlation with the results obtained from microscopic measurements (Pearson correlation coefficient r = 0.9844 ), which confirms the accuracy of the OCT method.

Thickness mapping of the inner retina by spectral-domain optical coherence tomography in an N-methyl-D-aspartate-induced retinal damage model

Spectral-domain optical coherence tomography (SD-OCT) is an interferometric optical tomography technique and provides high resolution and noninvasive visualization of retinal morphology. The purpose of this study was to assess the utility of thickness maps and quantitative thickness measurements of the ganglion cell complex (GCC: retinal nerve fiber layer, ganglion cell layer, and inner plexiform layer) obtained by SD-OCT of a mouse model of N-methyl-d-aspartate (NMDA)-induced retinal damage. SD-OCT imaging was performed in ddY mice at 1, 3, and 7 days and 1 month after intravitreal injection of NMDA. GCC thickness maps and circle cross-sectional OCT images were made from volumetric OCT images. The GCC thickness was measured on a cross-sectional OCT image on a circle with a radius 300 μm from the center of the optic nerve disc. Histological analysis was conducted by measuring the GCC thickness at the same time intervals. The thickness maps and the quantitative thickness values of GCC showed thickness changes at each time point in the NMDA-treated mice when compared with normal and vehicle-treated mice. Both the OCT sectional images and the histological images revealed increases in GCC thickness at 1 day, followed by decreases from 3 days to 1 month after NMDA injection. The GCC thickness measured using OCT sectional images correlated with the thickness measured using histological images. In conclusion, GCC thickness mapping is a useful method for evaluating NMDA-induced retinal degeneration in mice.