Journal of neuroimaging : official journal of the American Society of Neuroimaging
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Intracranial hemorrhage (ICH) is a common life-threatening condition that must be rapidly diagnosed and treated. However, there is still a lack of consensus regarding treatment, driven to some extent by prognostic uncertainty. While several prediction models for ICH detection have already been published, here we present a deep learning predictive model for ICH prognosis. ⋯ The proposed hybrid model was able to accurately classify patients into good and poor prognosis. To the best of our knowledge, this is the first ICH prognosis prediction deep learning model. We concluded that deep learning can be applied for prognosis prediction in ICH that could have a great impact on clinical decision-making. Further, hybrid inputs could be a promising technique for deep learning in medical imaging.
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Meta Analysis
Hypoechogenicity of the raphe nuclei as a biomarker of migraine: A case-control study, review, and meta-analysis.
Hypoechogenicity of the raphe nuclei (hR) has been related to major depression. Comorbidity between migraine and depression is bidirectional postulating a common mechanism of serotonergic dysfunction. We aimed to investigate the association between migraine and hR and its role as biomarker of migraine-associated depression and disease severity. ⋯ hR is more prevalent in migraine patients than in controls and, in our population, its prevalence increases in a stepwise manner in patients with EM and CM. These findings support the role of raphe nuclei in migraine pathophysiology.
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Cavernous malformations (CMs) are benign vascular malformations that maybe seen anywhere in the central nervous system. They are dynamic lesions, growing or shrinking over time and only rarely remaining stable. Size varies from a few millimeters to a few centimeters. ⋯ Our purpose is to review the imaging features of CMs based on their size, location, and etiology, as well as their differential diagnosis and best imaging approach. New insights in etiology will be briefly considered. Follow-up strategies, including serum and imaging biomarkers, and treatment options will also be discussed.
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Commonly used fatigue-lowering medications have not been proven effective in treating multiple sclerosis (MS)-related fatigue. A neuroanatomical basis for treatment-resistant fatigue in MS has not been explored. The aim of this study was to investigate the association between brain diffusion abnormality patterns and resistance to fatigue-lowering treatment. ⋯ Fronto-striatal damage may play a role in the development of resistance to fatigue-lowering treatment. Fronto-striatal FA may serve as a biomarker to predict response to fatigue-lowering medications in MS.