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Mostrando ítems 21-30 de 63
Pharmacologic interventions to treat renal colic pain in acute stone episodes: Systematic review and meta-analysis
Objective To assess effectiveness of pharmacologic interventions to relieve pain in patients suffering an acute stone episode. Methods Relevant trials that included patients with acute renal colic and radiological findings ...
Pituicytoma. Case report and literature review
Pituicytoma is a rare glial tumour located in the sellar and/or suprasellar region of the brain, it originates from pituicytes, and they were included in the World Health Organization (WHO) Classification of Central Nervous ...
A case report of esophageal tuberculosis
We report the case of an immune-competent man with symptoms of upper gastrointestinal bleeding secondary to esophageal ulcers of tubercular origin. Gastrointestinal involvement from Mycobacterium tuberculosis is rare even ...
Pulmonary involvement in systemic sclerosis
Systemic sclerosis (SSc) is a multi-systemic autoimmune disease that mainly affects the skin, lungs, gastrointestinal tract, heart and kidneys. Pulmonary disease in patients with SSc is strongly associated with mortality. ...
Interobserver Agreement in Magnetic Resonance of the Sacroiliac Joints in Patients with Spondyloarthritis
(International Journal of Rheumatology, 2017-02-17)
Background. Clinical, laboratory, and radiologic parameters are used for diagnosis and classification of spondyloarthritis (SpA). Magnetic resonance imaging (MRI) of sacroiliac (SI) joints is being increasingly used to ...
Implementation of several mathematical algorithms to breast tissue density classification
(2014)
The accuracy of mammographic abnormality detection methods is strongly dependent on breast tissue characteristics, where a dense breast tissue can hide lesions causing cancer to be detected at later stages. In addition, ...
Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI
We construct a convolutional neural network to classify pulmonary nodules as malignant or benign in the context of lung cancer. To construct and train our model, we use our novel extension of the fastai deep learning ...