![]() Linear regression modelled change in proptosis against FMR. The primary outcome measure was change in clinical measurement of proptosis. Quantitative analysis of FMR was performed by manual segmentation of patients' imaging using OsiriX software. Patients without baseline orbital imaging were excluded. METHODS: A retrospective cohort study of patients completing a full course of teprotumumab for TED between January 2020 and March 2022 at a single tertiary referral center. PURPOSE: To characterize the distribution of fat-to-muscle ratio (FMR) across patients with thyroid eye disease (TED) and to assess the association between FMR and therapeutic response to teprotumumab. The plug-in has been successfully used by several CMR imaging studies. CMRSegTools allows the creation of training and testing data sets (labeled features such as lesion, microvascular obstruction and remote ROI) for supervised Machine Learning methods, and enables the comparative assessment of lesion segmentation methods via a single and integrated platform. New segmentation methods can be integrated into the plug-in by developing components based on image processing and visualisation libraries such as ITK and VTK in C++ programming language. CMRSegTools includes, among others, user-assisted segmentation of the left-ventricle, semi- and automatic lesion segmentation methods, advanced statistical analysis and visualisation based on the American Heart Association 17-segment model. This post-processing tool has been implemented as a plug-in for the OsiriX/Horos DICOM viewer leveraging its database management functionalities and user interaction features to provide a bespoke tool for the analysis of cardiac MR images on large clinical cohorts. This paper introduces CMRSegTools: an open-source application software designed for the segmentation and quantification of myocardial infarct lesion enabling full access to state-of-the-art segmentation methods and parameters, easy integration of new algorithms and standardised results sharing. ![]() In these studies, segmentation and quantification of myocardial infarct lesion are often performed with a commercial software or an in-house closed-source code development thus creating a barrier for reproducible research. In the last decade, a large number of clinical trials have been deployed using Cardiac Magnetic Resonance (CMR) to evaluate cardioprotective strategies aiming at reducing the irreversible myocardial damage at the time of reperfusion. Glycerophospholipid and sphingolipid metabolism plays a significant role in the progression of mucosal and osteitis produced by fungal ball sinusitis. Dysfunctional glycerophospholipid and sphingolipid metabolism is present in the lesion of fungal ball sinusitis. Imaging measurements showed a median sinus CT value (median (P25, P75) of 351(261.4, 385.8) HU and a median sinus wall thickness (median (P25, P75) of 2.31(1.695, 3.718) mm, which correlated with the levels of glycerophospholipid metabolites and sphingolipid metabolites (P < 0.03). There was a significant difference in the abundance of glycerophospholipid metabolism and sphingolipid metabolism between the two groups, with the experimental group showing an increased trend related to the sphingolipid metabolic pathway, including sphingosine 1-phosphate (S1P) and related products, diacylglycerol, sphingomyelin (SM), suggesting that its metabolites are associated with mucosal and bony inflammation. 2138 and 394 metabolites were screened from cationic and anionic modes. OsiriX software was applied to perform imaging measurements on sinus CT. Samples from both groups were analyzed for high-throughput metabolites by UPLC-MS. ![]() 12 patients with chronic rhinosinusitis who underwent surgery and 9 healthy control were enrolled in this study. But no research reported fungal ball composition and metabolic-related product types currently. doi: 10.1186/s12870-x.įungal ball sinusitis is characterized by complex fungus infections with non-invasive inflammation.
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