Preclinical characterization of endotoxin-induced uveitis models using OCT, PET/CT and proteomics.

Uveitis is a group of inflammatory ocular pathologies. Endotoxin-Induced Uveitis (EIU) model represent a well-known model induced by administration of Lipopolysaccharide (LPS). The aim is to characterize two models of EIU through two routes of administration with novel noninvasive imaging techniques. 29 rats underwent Intraocular Pressure (IOP) measurements, Optical Coherence Tomography (OCT), proteomic analysis, and Positron Emission Tomography and Computed Tomography (PET/CT). Groups included healthy controls (C), BSS administered controls (Ci), systemically induced EIU with LPS (LPSs), and intravitreally induced EIU with LPS (LPSi) for IOP, OCT, and proteomic studies. For 18F-FDG PET/CT study, animals were divided into FDG-C, FDG-LPSs and FDG-LPSi groups and scanned using a preclinical PET/CT system. LPSi animals exhibited higher IOP post-induction compared to C and LPSs groups. LPSi showed increased cellular infiltrate, fibrotic membranes, and iris inflammation. Proinflammatory proteins were more expressed in EIU models, especially LPSi. PET/CT indicated higher eye uptake in induced models compared to FDG-C. FDG-LPSi showed higher eye uptake than FDG-LPSs but systemic uptake was higher in FDG-LPSs due to generalized inflammation. OCT is valuable for anterior segment assessment in experimental models. 18F-FDG PET/CT shows promise as a noninvasive biomarker for ocular inflammatory diseases. Intravitreal induction leads to higher ocular inflammation. These findings offer insights for future inflammatory disease research and drug studies.

Lipid profile alterations in non-infectious uveitis: correlation with quantitative optical coherence tomography angiography parameters.

BACKGROUND/AIMS: Lipid profiles have been changed in numerous chronic conditions. The impact of uveitis on lipid metabolism remains unclear. METHODS: This is a cross-sectional study included 416 patients with non-infectious uveitis (NIU) and 416 healthy subjects. Standard techniques were used to measure total cholesterol (TC), triglycerides (TG), high-density lipoprotein-cholesterol (HDLc), low-density lipoprotein-cholesterol (LDLc) levels. Quantitative optical coherence tomography angiography (OCTA) parameters were obtained from 500 eyes in each group. Correlation analysis examined the relationship between lipid profile and OCTA parameters. RESULTS: Patients with NIU exhibited significantly elevated TC, TG and LDLc levels compared with controls (p=0.003; p<0.001; p<0.001, respectively). Subgroup analysis revealed that HDLc was significantly lower in Behçet's disease (p=0.024) compared with controls. Vascular density (VD) in the superficial capillary plexus (SCP), deep capillary plexus (DCP), choriocapillaris and optic disk were significantly decreased in NIU eyes (p<0.05, respectively) compared with controls. HDLc exhibited a significant negative correlation with VDs in the whole and parafovea SCP (r=-0.489, p=0.008; r=-0.480, p=0.0026, respectively), while LDLc showed a significant positive correlation with VDs in the whole and parafovea DCP in NIU patients (r=0.576, p=0.032; r=0.267, p=0.034, respectively). CONCLUSIONS: The lipid profile is altered in NIU, and there are correlations between HDLc and LDLc levels and VD as measured by OCTA. Lipid profile analysis may offer valuable insights into evaluating vascular and metabolic aspects of NIU.

Relationship between vitreous interleukin-6 levels and vitreous particles findings on widefield optical coherence tomography in posterior uveitis.

PURPOSE: To investigate relationship between vitreous interleukin-6 levels and vitreous particles findings on widefield optical coherence tomography in posterior uveitis. METHODS: This retrospective study examined vitreous inflammatory cells (hyperreflective particles) of posterior uveitis on widefield optical coherence tomography (WOCT). We examined the number of hyperreflective particles (possibility of vitreous inflammatory cells) observed on WOCT and the correlations with interleukin-6 (IL-6) levels. The relationship between vitreous IL-6 levels and image findings from WOCT from 37 eyes (34 patients) with posterior uveitis were analyzed. Mean patient age was 63.4±15.7 years. (Mean± standard deviation) IL-6 concentration in vitreous humor was 79.9±7380.9 pg/mL Uveitis was infectious in 9 cases and non-infectious in 28 cases with multiplex polymerase chain reaction system. We measured the number and size of vitreous cells in the posterior vitreous, defined as the space between the upper vitreous and the internal limiting membrane on WOCT at the macular, upper, and lower regions. Image analysis software was also used for cell counting. RESULTS: A strong correlation was seen between human and software counts. Pearson's correlation coefficient (PCC) was performed to compare categorial variables (on macular +0.866; upper cavity +0.713; lower cavity +0.568; total vitreous cavity +0.834; P<0.001 each). IL-6 levels correlated with both vitreous cell counts and cell counts observed on macular WOCT (human-counted group +0.339, P = 0.04; software-counted group +0.349, P = 0.03). Infectious uveitis showed higher IL-6 levels (P = 0.016) and high cell counts compared with non-infectious uveitis (P = 0.04). CONCLUSIONS: Vitreous number of hyperreflective particles (cells) findings on WOCTcorrelated well with human and software cell counts. Vitreous cells findings on WOCT also correlated with IL-6 concentrations on macular.

[Research progress of optical coherence tomography and optical coherence tomography angiography in noninfectious uveitis: a review].

Non-infectious uveitis (NIU) is a challenging type of intraocular inflammatory disease that tends to recur and can be resistant to treatment. It can cause both transient and permanent pathological changes in the retina and choroid. Accurate diagnosis and monitoring of these changes rely heavily on ophthalmic imaging methods. In recent years, the enhanced depth imaging spectral-domain optical coherence tomography (EDI-OCT), swept-source optical coherence tomography (SS-OCT), and swept-source optical coherence tomography angiography (SS-OCTA) have emerged as rapidly evolving ophthalmic imaging techniques that offer significant advantages in evaluating choroidal thickness, displaying the whole choroid, and monitoring choroidal blood flow. This review provides an overview of the current research status of EDI-OCT, SS-OCT, and SS-OCTA in evaluating intraocular inflammation and other choroid-related complications in noninfectious intermediate uveitis, posterior uveitis, and panuveitis, and also highlights their future prospects.

Stepwise approach for fundus imaging in the diagnosis and management of posterior uveitis.

An array of retinochoroid imaging modalities aid in comprehensive evaluation of the immunopathological changes in the retina and choroid, forming the core component for the diagnosis and management of inflammatory disorders such as uveitis. The recent technological breakthroughs have led to the development of imaging platforms that can evaluate the layers of retina and choroid and the structural and functional alteration in these tissues. Ophthalmologists heavily rely on imaging modalities such as dye-based angiographies (fluorescein angiography and indocyanine green angiography), optical coherence tomography, fundus autofluorescence, as well as dye-less angiography such as optical coherence tomography angiograph,y for establishing a precise diagnosis and understanding the pathophysiology of the diseases. Furthermore, these tools are now being deployed with a 'multimodal' approach for swift and accurate diagnosis. In this comprehensive review, we outline the imaging platforms used for evaluation of posterior uveitis and discuss the organized, algorithmic approach for the assessment of the disorders. Additionally, we provide an insight into disease-specific characteristic pathological changes and the established strategies to rule out disorders with overlapping features on imaging.

Relationship between ultra-widefield optical coherence tomography and ophthalmoscopy for detecting posterior inflammation in posterior uveitis and panuveitis.

PURPOSE: To confirm the utility of ultra-widefield optical coherence tomography (W-OCT) for diagnosing uveitis. METHOD: We retrospectively studied patients who had been diagnosed with uveitis and had undergone W-OCT. All patients had visited at Osaka Metropolitan University between January 2019 and January 2022. On W-OCT, vitreous opacity ("W-OCT VO") and the presence of vitreous cells ("W-OCT Cells") were identified by three specialists. We compared findings from ophthalmoscopy ("Ophthalmoscopic findings") and fluorescein angiography ("FAG findings") with those from W-OCT. RESULTS: This study investigated 132 eyes from 68 patients (34 males, 34 females; mean age, 53.97±22.71 years). Vitreous cells in posterior uveitis and panuveitis differed significantly between "W-OCT Cells" and "Ophthalmoscopic findings" for all cases (P = 0.00014). Vitreous opacities in posterior uveitis and panuveitis did not differ significantly between "W-OCT VO" and "Ophthalmoscopic findings" (P = 0.144) for all cases. Compared to "Ophthalmoscopic findings", "W-OCT Cells" offered 51.1% sensitivity and 66.7% specificity for all cases (p<0.01). Compared to "Ophthalmoscopic findings", "W-OCT VO" offered 78.6% sensitivity and 30% specificity for all cases (p = 0.19). In addition, "W-OCT Cells" did not differ significantly from "FAG findings" for all cases (P = 0.424). CONCLUSION: W-OCT was shown to offer significantly greater sensitivity than ophthalmoscopy for detecting vitreous cells. The results of this study may add an option for the evaluation of uveitis.

The Next Steps in Ocular Imaging in Uveitis.

PURPOSE: To describe the future steps and advances in the field of ocular imaging in uveitis. METHODS: Narrative review. RESULTS: There have been numerous advances in the field of imaging in uveitis in the past decade. Advanced techniques of imaging of the vitreous, vitreo-retinal interface, retinochoroid, and the sclera can provide significant information that helps in understanding the disease pathogenesis and manifestations. Imaging also helps in establishing a diagnosis in challenging cases, along with the laboratory and other assays. Notable developments in ocular imaging include wide-field and ultra-wide field imaging (including angiographies), automated quantification of the retinochoroidal vasculature using optical coherence tomography (OCT) and OCT angiography, quantification of vitreous cells, and intraoperative use of imaging in uveitis, among others. CONCLUSIONS: We have summarized several technological achievements in ocular imaging in the field of uveitis and provided insights into the potential future developments.

Consensus-based recommendations for optical coherence tomography angiography reporting in uveitis.

BACKGROUND/AIMS: To establish a consensus in the nomenclature for reporting optical coherence tomography angiography (OCTA findings in uveitis. METHODS: The modified Delphi process consisted of two rounds of electronic questionnaires, followed by a face-to-face meeting conducted virtually. Twenty-one items were included for discussion. The three main areas of discussion were: wide field OCTA (WF-OCTA), nomenclature of OCTA findings and OCTA signal attenuation assessment and measurement. Seventeen specialists in uveitis and retinal imaging were selected by the executive committee to constitute the OCTA nomenclature in Uveitis Delphi Study Group. The study endpoint was defined by the degree of consensus for each question: 'strong consensus' was defined as >90% agreement, 'consensus' as 85%-90% and 'near consensus' as >80% but <85%. RESULTS: There was a strong consensus to apply the term 'wide field' to OCTA images measuring over 70° of field of view, to use the terms 'flow deficit' and 'non-detectable flow signal' to describe abnormal OCTA flow signal secondary to slow flow and to vessels displacement respectively, to use the terms 'loose' and 'dense' to describe the appearance of inflammatory choroidal neovascularisation, and to use the percentage of flow signal decrease to measure OCTA ischaemia with a threshold greater than or equal to 30% as a 'large area'. CONCLUSIONS: This study sets up consensus recommendations for reporting OCTA findings in uveitis by an expert panel, which may prove suitable for use in routine clinical care and clinical trials.

PET study of intravitreal adalimumab pharmacokinetics in a uveitis rat model.

Adalimumab is an anti-TNFα drug approved for uveitis treatment by subcutaneous injection. This administration route exposes patients to systemic adverse effects and makes difficult to obtain therapeutic drug concentrations in the site of action due to the anatomical and physiological barriers of the eye. These inconveniences could be avoided by intravitreal injection. The aim of this study is to evaluate the pharmacokinetic profile and the biodistribution of the intravitreal administration of 89Zr-adalimumab in a uveitis rat model using PET imaging. Adalimumab was radiolabelled to 89Zr with a maximum specific activity of 10 MBq/mg. Four µL containing ≃1.74 MBq of 89Zr-labelled adalimumab were injected into the vitreous. A microPET acquisition was carried out immediately after the injection and at different time points through a 10-day study and blood samples were obtained through the tail vein. Radiolabelling was successfully performed with a radiochemical purity after ultrafiltration of 99.69 %. The antibody ocular pharmacokinetics followed a one-compartment model, showing an intraocular elimination half-life of 15.57 h for healthy rats and  33.64 h for rats with uveitis, implying that 89Zr-adalimumab remains around two times longer in rats with the disease compared to healthy ones. However, blood concentration half-life had similar values in both groups. In conclusion, this study shows for the first time the ocular and blood pharmacokinetic analysis of adalimumab in a uveitis model in rats.

Non-cystic macular thickening on optical coherence tomography as an alternative to fluorescein angiography for predicting retinal vascular leakage in early stages of uveitis.

To evaluate the relationship between non-cystic thickening of the macula on optical coherence tomography (OCT) and retinal vascular leakage on fluorescein angiogram (FA) in patients with uveitis. A cross-sectional study of patients seen in the uveitis clinic. Patients with any degree of inflammatory cells in the anterior vitreous were included, provided that no macular cyst or subretinal fluid or macular atrophy was observed in OCT. The correlation between OCT features and best corrected visual acuity (BCVA), the degree of inflammation, and FA findings were examined. The severity of vascular leakage in FA was graded for optic nerve, macula and posterior and peripheral leakage. We used generalized estimation equation to assess the associations between macular thickness and volume with angiographic scores. A total of 43 patients (100 exam data) met inclusion criteria. There was a significant relationship between OCT parameters (central macular thickness, 3 mm and 6 mm perifoveal macular thickness as well as total and central macular volume) with angiographic scores (macular, optic disc, posterior and peripheral vascular leakage score) (all P values < 0.0001). The correlation between the 6 mm perifoveal thickness and peripheral vascular leakage score (R = 0.76; P < 0.001) was stronger than the correlation of CMT with this angiographic score (R = 0.69; P < 0.001). Non-cystic thickening of the macula on OCT, especially in perifoveal area, is a reliable predictor of the presence of retinal vascular leakage in patients with uveitis.

Iridian anterior segment OCT in rubella uveitis syndrome and cytomegalovirus anterior uveitis: a comparative study.

PURPOSE: To compare iris affectation in cytomegalovirus anterior uveitis (CMVAU), rubella virus-associated uveitis (RVU), and healthy contralateral eyes, using swept-source anterior segment optical coherence tomography (SS-AS-OCT). MATERIALS AND METHODS: A comparative, transversal, retrospective study examining 60 eyes from 30 patients-18 eyes (17 patients) with CMVAU, 14 eyes (13 patients) with RVU, and 28 healthy eyes-was performed. Six-millimeter cross-sectional SS-AS-OCT B-scans were obtained in each iris quadrant. Images were exported to ImageJ®. Qualitative and quantitative analyses were done: stromal thickness (ST), smooth index (SI), and optical density (OD) of pigment epithelium. Comparisons between measurements and clinical-demographic parameters were performed using SPSS®. RESULTS: Qualitative analysis showed extensive damage in iris stroma but was unable to differentiate between both uveitis. RVU eyes had a lower mean ST (315.72 µm ± 42.4) compared to those with CMVAU (348.6 µm ± 46) (p = 0.047) and a lower ST in the upper (338.9 µm ± 38.52)/(386.25 µm ± 47.2) (p = 0.005) and temporal (281.5 µm ± 57.3)/(326.43 µm ± 62.3) (p = 0.016) quadrants. Mean (0.94 ± 0.02)/(0.9 ± 0.03) (p = 0.001), temporal (0.94 ± 0.02)/(0.89 ± 0.03) (p < 0.001), and nasal SI (0.094 ± 0.02)/(0.9 ± 0.04) (p = 0.005) were higher in RVU. OD was similar in both uveitis. In healthy eyes, mean ST (376.8 µm ± 39.7) was higher and mean SI was lower (0.87 ± 0.04) than in RVU (p < 0.001) and CMVAU eyes (p = 0.032). Mean OD was higher in healthy eyes (911 ± 130) than in CMVAU eyes (800 ± 200) (p = 0.037). CONCLUSIONS: The quantitative analysis of the SS-AS-OCT iris images allows for the differentiation between healthy eyes and those with CMVAU and RVU, as well as between both uveitis.

Choroidal imaging in uveitis: An update.

An important goal of advancements in ocular imaging algorithms and devices has been to improve the image acquisition and resolution of deeper ocular tissues, namely the choroid and its vasculature that are otherwise inaccessible to direct clinical examination. These advancements have contributed to the understanding of the pathophysiology of a number of ocular inflammatory conditions. We focus on the imaging characteristics of clinical conditions where imaging the choroid has improved or radically changed the understanding of the disease, has helped in differentiation of phenotypically similar but distinct lesions, and where imaging features have proven vital for monitoring disease activity. The last two decades have seen some major developments in ocular imaging relevant to uveitis. The current review addresses both the imaging characteristics and their interpretation on conventional modalities such as fundus photography, fluorescein angiography, indocyanine green angiography, and fundus autofluorescence and the recent additions in the armamentarium including optical coherence tomography (OCT) with enhanced depth imaging, swept-source OCT, and OCT angiography.

Reliability of Aqueous Flare Measurements During Uveitis by a Spot Fluorometer.

Purpose: To evaluate the reliability of intensity of light scatter (ILS) for diagnosing mild-to-moderate uveitis, which is difficult to score by the subjective standardized uveitis nomenclature (SUN) grading. Methods: ILS (in millivolts) was measured in healthy subjects and uveitis patients by a custom-made Spot fluorometer. The reliability was assessed by noise analysis of the instrument using turbid samples and intra- and interobserver variabilities. Results: ILS increased with the severity of inflammation: healthy (0.1498 ± 0.0564) and SUN0 (0.1590 ± 0.0564) < SUN1+ (0.2050 ± 0.0887) < SUN2+ (0.4283 ± 0.1895). The increase in ILS was more significant between healthy and SUN1+ (P < 0.0001) compared to the difference between SUN0 and SUN1+ (P = 0.0006). The instrument noise was small (σ = 0.002). Intraobserver measurements revealed no variability (P > 0.98) between measurements and predicted repeatability coefficients of 0.0754, 0.0522, and 0.0532 in healthy, SUN0, and SUN1+, respectively. Interobserver measurements also showed no variability (P > 0.88) and predicted intraclass correlation coefficient > 0.63 in healthy and uveitis subjects. Conclusions: The fluorometer enables precise measurement of ILS with negligible instrument noise, and the measurements are unaffected by intra- and interobserver variabilities. However, the difference in mean ILS between SUN0 and SUN1+ is greater than the instrument noise and comparable to intra- and interobserver variabilities. Thus, ILS measurements are likely impacted by blinking, eye movements, and focusing jitter. The impact of these factors must be reduced before using the fluorometer to distinguish mild-to-moderate uveitis.

Risk factors for emerging intraocular inflammation after intravitreal brolucizumab injection for age-related macular degeneration.

PURPOSE: To analyze the risk factors associated with emerging intraocular inflammation (IOI) after intravitreal brolucizumab injection (IVBr) to treat age-related macular degeneration (AMD). METHODS: This study included 93 eyes of 90 patients. The incidence of emerging IOI was analyzed. The patients were classified into IOI or non-IOI groups, and background clinical characteristics in each group were compared. RESULTS: IOI occurred in 14 eyes of 14 cases (16%; five women, nine men [5:9]; IOI group) after IVBr; contrastingly, no IOI occurred in 76 patients (10 women, 66 men [10:66]; non-IOI group). The mean ages in IOI and non-IOI groups were 79.4 ± 8.1 and 73.8 ± 8.9 years old, respectively, and the average age in the IOI group was significantly higher than that in the non-IOI group (P = 0.0425). In addition, the percentages of females in the IOI and non-IOI groups were 43% and 13%, respectively, and IOI occurred predominantly in females (odds ratio: 4.95, P = 0.0076). Moreover, the prevalence of diabetes in the IOI and non-IOI groups was 64% and 32%, respectively, with a significant difference (odds ratio: 3.90, P = 0.0196). In contrast, the prevalence of hypertension in the IOI and non-IOI groups was 36% and 57%, respectively, with no significant difference (P = 0.15). CONCLUSION: The comparison of clinical profiles of IOI or non-IOI cases in IVBr treatment for AMD suggests that the risk factors for IOI are old age, female sex, and history of diabetes; however, IOI with vasculitis or vascular occlusion in this cohort does not seem to cause severe visual impairment. Further studies are required to investigate potential risk factors for IOI.

Changes in Choroidal Vascularity Index (CVI) in Intermediate Uveitis.

Purpose: To investigate the longitudinal changes in choroidal vascularity index (CVI) in eyes with active and quiescent intermediate uveitis using enhanced depth imaging optical coherence tomography (EDI-OCT). Methods: EDI-OCT images of eyes with active and quiescent intermediate uveitis were retrospectively reviewed and binarized using ImageJ software. Choroidal parameters including CVI, total choroidal area (TCA), luminal area (LA), stromal area (SA), and subfoveal choroidal thickness (SCT) were measured and compared between baseline and follow-up visits among eyes with active and quiescent intermediate uveitis. Results: Thirty-eight eyes from 21 patients with active intermediate uveitis and 30 eyes from 17 patients with quiescent intermediate uveitis were included. CVI in eyes with active intermediate uveitis significantly increased from baseline (66.50% ± 3.40%) with resolution of inflammation on follow-up (68.82% ± 3.90%; P < 0.001). In eyes with quiescent intermediate uveitis at baseline eyes, CVI did not significantly change after follow-up (66.34% ± 3.19% to 66.25% ± 3.13%; P = 0.850). Conclusions: CVI significantly increased when active inflammation in intermediate uveitis resolved while CVI remained unchanged at follow-up in quiescent intermediate uveitis. Translational Relevance: CVI may be a useful noninvasive tool to monitor treatment response in intermediate uveitis. Our findings also highlight the involvement of choroidal vasculature in uveitic eyes without any clinical evidence of choroiditis.

An Automated CAD System for Accurate Grading of Uveitis Using Optical Coherence Tomography Images.

Uveitis is one of the leading causes of severe vision loss that can lead to blindness worldwide. Clinical records show that early and accurate detection of vitreous inflammation can potentially reduce the blindness rate. In this paper, a novel framework is proposed for automatic quantification of the vitreous on optical coherence tomography (OCT) with particular application for use in the grading of vitreous inflammation. The proposed pipeline consists of two stages, vitreous region segmentation followed by a neural network classifier. In the first stage, the vitreous region is automatically segmented using a U-net convolutional neural network (U-CNN). For the input of U-CNN, we utilized three novel image descriptors to account for the visual appearance similarity of the vitreous region and other tissues. Namely, we developed an adaptive appearance-based approach that utilizes a prior shape information, which consisted of a labeled dataset of the manually segmented images. This image descriptor is adaptively updated during segmentation and is integrated with the original greyscale image and a distance map image descriptor to construct an input fused image for the U-net segmentation stage. In the second stage, a fully connected neural network (FCNN) is proposed as a classifier to assess the vitreous inflammation severity. To achieve this task, a novel discriminatory feature of the segmented vitreous region is extracted. Namely, the signal intensities of the vitreous are represented by a cumulative distribution function (CDF). The constructed CDFs are then used to train and test the FCNN classifier for grading (grade from 0 to 3). The performance of the proposed pipeline is evaluated on a dataset of 200 OCT images. Our segmentation approach documented a higher performance than related methods, as evidenced by the Dice coefficient of 0.988 ± 0.01 and Hausdorff distance of 0.0003 mm ± 0.001 mm. On the other hand, the FCNN classification is evidenced by its average accuracy of 86%, which supports the benefits of the proposed pipeline as an aid for early and objective diagnosis of uvea inflammation.

Quantitative Assessment of Experimental Ocular Inflammatory Disease.

Ocular inflammation imposes a high medical burden on patients and substantial costs on the health-care systems that mange these often chronic and debilitating diseases. Many clinical phenotypes are recognized and classifying the severity of inflammation in an eye with uveitis is an ongoing challenge. With the widespread application of optical coherence tomography in the clinic has come the impetus for more robust methods to compare disease between different patients and different treatment centers. Models can recapitulate many of the features seen in the clinic, but until recently the quality of imaging available has lagged that applied in humans. In the model experimental autoimmune uveitis (EAU), we highlight three linked clinical states that produce retinal vulnerability to inflammation, all different from healthy tissue, but distinct from each other. Deploying longitudinal, multimodal imaging approaches can be coupled to analysis in the tissue of changes in architecture, cell content and function. This can enrich our understanding of pathology, increase the sensitivity with which the impacts of therapeutic interventions are assessed and address questions of tissue regeneration and repair. Modern image processing, including the application of artificial intelligence, in the context of such models of disease can lay a foundation for new approaches to monitoring tissue health.

Anterior Segment-Optical Coherence Tomography features in Blau syndrome.

Blau syndrome (BS) is a rare granulomatous auto-inflammatory disease, characterized by the classic clinical triad of joints, skin and ocular involvements. Ocular manifestation usually consists in a bilateral insidious chronic anterior uveitis with a potential evolution to panuveitis. We describe the case of two siblings, an 8-years old female and a 5-years old male, with a diagnosis of BS, evaluated by Anterior Segment-Optical Coherence Tomography (AS-OCT). In the female patient, slit-lamp examination revealed bilateral anterior granulomatous uveitis and inflammatory sequelae. AS-OCT revealed high intensity reflective layers in the anterior cornea, hyperreflective dots both in the aqueous humor and in the posterior corneal surface. In the male, no signs of inflammation were detected both on slit-lamp examination and AS-OCT scans. AS-OCT is a valuable, non-invasive tool that could improve the diagnosis of ocular involvement, better characterize and follow-up corneal alterations and anterior segment features in pediatric patients with BS.

Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements.

Quantifying intraocular inflammation is crucial in managing uveitis patients. We assessed the minimum B-scan density for reliable automated vitreous intensity (VI) assessment, using a novel approach based on optical coherence tomography (OCT). OCT volume scans centered on the macula were retrospectively collected in patients with uveitis. Nine B-scans per volume scan at fixed locations were automatically analyzed. The following B-scan selections were compared against the average score of 9 B-scans per volume scan as a reference standard: 1/3/5/7 central scans (1c/3c/5c/7c), 3 widely distributed scans (3w). Image data of 49 patients (31 females) were included. The median VI was 0.029 (IQR: 0.032). The intra-class-correlation coefficient of the VI across the 9 B-scans was 0.923. The median difference from the reference standard ranged between 0.001 (7c) and 0.006 (1c). It was significantly lower for scan selection 3w than 5c, p(adjusted) = 0.022, and lower for selection 7c than 3w, p(adjusted) = 0.003. The scan selections 7c and 3w showed the two highest areas under the receiver operating curve (0.985 and 0.965, respectively). Three widely distributed B-scans are sufficient to quantify VI reliably. Highest reliability was achieved using 7 central B-scans. Automated quantification of VI in uveitis is reliable and requires only few OCT B-scans.

[Application of high-resolution optical coherence tomography for visualization of eye structures in uveitis of different localization]. / Primenenie opticheskoi kogerentnoi tomografii vysokogo razresheniya v vizualizatsii struktur glaznogo yabloka pri uveitakh razlichnoi lokalizatsii.

The article presents an analysis of publications in main Russian and foreign journals devoted to the use of optical coherence tomography in intravital visualization of the structures of the eye for diagnosis, assessment of the changes during relapses, recovery and remission stages, as well as the effectiveness of treatment for uveitis of different localization. It describes in detail the results of studies conducted using spectral optical coherence tomography, changes in the anterior chamber and cornea in uveitis of the anterior localization, morphological changes in the vitreous body, vitreomacular interface, retina, choroid and optic disc in the anterior and posterior localization of inflammation, and presents the features of OCT diagnosis in a number of nosological forms of uveitis based on the literature data.