Churg-Strauss Syndrome (CSS) is a relatively rare entity characterized by asthma, transient pulmonary infiltrates, eosinophilia and systemic vasculitis. Oral ulceration is a possible clinical manifestation of some systemic vasculitides, such as Wegener's granulomatosis (WG) or giant cell arteritis, but has never been reported with Churg-Strauss syndrome. We report the first observation of a palatine ulceration in a 15-year-old girl with Churg-Strauss syndrome.
Purpose: To evaluate 18 F-fluorodeoxyglucose Positron Emission Tomography/ultra low dose Computed Tomography ( 18 F-FDG PET/ ULD CT) in the work-up of pediatric uveitis. Methods: Retrospective study of 12 children followed for uveitis who underwent whole body 18 F-FDG PET/ULD CT between 2011 and 2019. Results: The average age of the patients was 11 years. A total of 100% of patients presented with bilateral uveitis, 50% had panuveitis and 92% had various choroidal involvement. Relevant information for diagnosis was provided in four patients. 5/12 had an abnormal 18F-FDG uptake. Of these, three patients had pathognomonic images of active granulomatous diseases. Three patients underwent PET CT-guided biopsies of which two were positive for sarcoidosis. Conclusion: 18 F-FDG PET/CT provided important information for final diagnosis in approximately 30% (4/ 12) of pediatric patients with bilateral uveitis. Whole body FDG PET/ULD CT can contribute to the final diagnosis thanks to pathognomonic image of active granulomatous disease and/or by indicating metabolically active site of biopsy that would not be visualized in thorax CT.
Calculating an open-channel steady flow is of main interest in many situations; this includes defining the initial conditions for the unsteady simulation or the computation of the water level for a given discharge. There are several applications that require a very short computation time in order to envisage a large number of runs, for example, uncertainty analysis or optimization. Here, an optimized algorithm was implemented for the fast and efficient computation of a 1-D steady flow. It merges several techniques: a pseudo-time version of the Saint-Venant equations, an evolutionary domain and the use of a non-linear Krylov accelerator. After validation of this new algorithm, we also showed that it performs well in scalability tests. The computation cost evolves linearly with the number of nodes. This was also corroborated when the execution time was compared to that obtained by the non-linear solver, CasADi. A real-world example using a 9.5 km stretch of river confirmed that the computation times were very short compared to a standard time-dependent computation.
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