Assessment of Anterior Uveitis Through Anterior-Segment Optical Coherence Tomography and Artificial Intelligence-Based Image Analyses.

Purpose: The purpose of this study was to develop an automated artificial intelligence (AI) based method to quantify inflammation in the anterior chamber (AC) using anterior-segment optical coherence tomography (AS-OCT) and to explore the correlation between AI assisted AS-OCT based inflammation analyses and clinical grading of anterior uveitis by Standardization of Uveitis Nomenclature (SUN). Methods: A prospective double blinded study of AS-OCT images of 32 eyes of 19 patients acquired by Tomey CASIA-II. OCT images were analyzed with proprietary AI-based software. Anatomic boundaries of the AC were segmented automatically by the AI software and Spearman's rank correlation between parameters related to AC cellular inflammation were calculated. Results: No significant (p = 0.6602) differences were found between the analyzed AC areas between samples of the different SUN grading, suggesting accurate and unbiased border detection/AC segmentation. Segmented AC areas were processed by the AI software and particles within the borders of AC were automatically counted by the software. Statistical analysis found significant (p < 0.001) correlation between clinical SUN grading and AI software detected particle count (Spearman ρ = 0.7077) and particle density (Spearman ρ = 0.7035). Significant (p < 0.001) correlation (Pearson's r = 0.9948) between manually and AI detected particles was found. No significant (p = 0.8080) difference was found between the sizes of the AI detected particles for all studies. Conclusions: AI-based image analysis of AS-OCT slides show significant and independent correlation with clinical SUN assessment. Translational Relevance: Automated AI-based AS-OCT image analysis suggests a noninvasive and quantitative assessment of AC inflammation with clear potential application in early detection and management of anterior uveitis.

Donor Endothelial Cell Count Does Not Correlate With Descemet Stripping Automated Endothelial Keratoplasty Transplant Survival After 2 Years of Follow-up.

PURPOSE: To analyze the influence of low endothelial cell density (ECD) of donor cornea tissue, donor age, and sex on the transplant survival rate after Descemet stripping automated endothelial keratoplasty (DSAEK). METHODS: Graft ECD, age, and sex of donors used for DSAEK (n = 1789) during 7 years (2007-2014) in 4 Scandinavian hospitals were assessed for potential association with transplant survival at 2 years of follow-up using a Cox regression model correcting for confounding factors. The data were obtained from The Swedish Cornea Transplant Registry. RESULTS: Transplant failure occurred in 196 patients, with 69 early failures during the first 3 postoperative months, and 127 late secondary failures. Twenty-five of the late secondary failures were due to rejection. Reversible rejections occurred in 67 patients. There was no significant impact of donor age [hazard ratio (HR) 1.0, 95% confidence interval (CI), 0.99-1.02, P = 0.32] or endothelial cell count (HR 1.00, 95% CI, 0.99-1.01, P = 0.3) on the survival rate of DSAEK transplants at 2 years of follow-up. The use of donor grafts with low ECD (<2300 cells/mm) did not influence the survival rate (HR 1.3, 95% CI, 0.76-2.35, P = 0.31). Male donor sex was associated with lower 2-year graft survival (HR 1.5, 95% CI, 1.04-2.28, P = 0.03), but not with rejection events (P = 0.26). CONCLUSIONS: Based on data from The Swedish Cornea Transplant Registry, low donor ECD was not detrimental to graft survival, whereas donor sex seemed to influence the outcome at the end of the 2-year follow-up.

Glycan-related gene expression signatures in breast cancer subtypes; relation to survival.

Alterations in glycan structures are early signs of malignancy and have recently been proposed to be in part a driving force behind malignant transformation. Here, we explore whether differences in expression of genes related to the process of glycosylation exist between breast carcinoma subtypes - and look for their association to clinical parameters. Five expression datasets of 454 invasive breast carcinomas, 31 ductal carcinomas in situ (DCIS), and 79 non-malignant breast tissue samples were analysed. Results were validated in 1960 breast carcinomas. 419 genes encoding glycosylation-related proteins were selected. The DCIS samples appeared expression-wise similar to carcinomas, showing altered gene expression related to glycosaminoglycans (GAGs) and N-glycans when compared to non-malignant samples. In-situ lesions with different aggressiveness potentials demonstrated changes in glycosaminoglycan sulfation and adhesion proteins. Subtype-specific expression patterns revealed down-regulation of genes encoding glycan-binding proteins in the luminal A and B subtypes. Clustering basal-like samples using a consensus list of genes differentially expressed across discovery datasets produced two clusters with significantly differing prognosis in the validation dataset. Finally, our analyses suggest that glycolipids may play an important role in carcinogenesis of breast tumors - as demonstrated by association of B3GNT5 and UGCG genes to patient survival. In conclusion, most glycan-specific changes occur early in the carcinogenic process. We have identified glycan-related alterations specific to breast cancer subtypes including a prognostic signature for two basal-like subgroups. Future research in this area may potentially lead to markers for better prognostication and treatment stratification of breast cancer patients.

Glycan gene expression signatures in normal and malignant breast tissue; possible role in diagnosis and progression.

Glycosylation is the stepwise procedure of covalent attachment of oligosaccharide chains to proteins or lipids, and alterations in this process have been associated with malignant transformation. Simultaneous analysis of the expression of all glycan-related genes clearly gives the advantage of enabling a comprehensive view of the genetic background of the glycobiological changes in cancer cells. Studies focusing on the expression of the whole glycome have now become possible, which prompted us to review the present knowledge on glycosylation in relation to breast cancer diagnosis and progression, in the light of available expression data from tumors and breast tissue of healthy individuals. We used various data resources to select a set of 419 functionally relevant genes involved in synthesis, degradation and binding of N-linked and O-linked glycans, Lewis antigens, glycosaminoglycans (chondroitin, heparin and keratan sulfate in addition to hyaluronan) and glycosphingolipids. Such glycans are involved in a number of processes relevant to carcinogenesis, including regulation of growth factors/growth factor receptors, cell-cell adhesion and motility as well as immune system modulation. Expression analysis of these glycan-related genes revealed that mRNA levels for many of them differ significantly between normal and malignant breast tissue. An associative analysis of these genes in the context of current knowledge of their function in protein glycosylation and connection(s) to cancer indicated that synthesis, degradation and adhesion mediated by glycans may be altered drastically in mammary carcinomas. Although further analysis is needed to assess how changes in mRNA levels of glycan genes influence a cell's glycome and the precise role that such altered glycan structures play in the pathogenesis of the disease, lessons drawn from this study may help in determining directions for future research in the rapidly-developing field of glycobiology.