89 research outputs found
Erdheim Chester disease – 25 year history with early CNS involvement
We report a case of Erdheim-Chester disease (ECD) with a 25-year history following initial presentation with diabetes insipidus and brainstem involvement. The exceptionally long history is particularly notable, given that ECD is a life-threatening disorder and there is a recognised association between central nervous system involvement and poor outcome. The case is a timely reminder of the presenting features of the condition, given the emergence of potential new treatment options
Prediction of Thrombectomy Functional Outcomes using Multimodal Data
Recent randomised clinical trials have shown that patients with ischaemic
stroke {due to occlusion of a large intracranial blood vessel} benefit from
endovascular thrombectomy. However, predicting outcome of treatment in an
individual patient remains a challenge. We propose a novel deep learning
approach to directly exploit multimodal data (clinical metadata information,
imaging data, and imaging biomarkers extracted from images) to estimate the
success of endovascular treatment. We incorporate an attention mechanism in our
architecture to model global feature inter-dependencies, both channel-wise and
spatially. We perform comparative experiments using unimodal and multimodal
data, to predict functional outcome (modified Rankin Scale score, mRS) and
achieve 0.75 AUC for dichotomised mRS scores and 0.35 classification accuracy
for individual mRS scores.Comment: Accepted at Medical Image Understanding and Analysis (MIUA) 202
Selective Amygdalohippocampectomy through Inferior Temporal Gyrus for Medial Temporal Lobe Epilepsy : Operative Approach and Results of 44 Cases
Magnetic resonance angiography and constructive interference in steady state-three-dimensional fourier transformation magnetic resonance imaging in patients with hemifacial spasm. Comparison with surgical findings in 44 cases
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