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| http://dx.doi.org/10.3389/fpsyg.2015.01758 | DOI Listing |
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Chinese guidelines for the diagnosis and treatment of rheumatoid arthritis: 2024 update.
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Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Beijing, China.
Rheumatoid arthritis (RA) is an autoimmune disease with destructive arthritis as its main clinical manifestation, which is a major cause of disability. It is very important to formulate and update a guideline for the diagnosis and treatment of RA that adhere to international guideline development standards and can be applied to clinical practice in China. This guideline is endorsed and developed by the National Clinical Research Center for Dermatologic and Immunologic Diseases, collaborated with Rheumatologists Branch of Chinese Medical Doctor Association, Rheumatology Rehabilitation Branch of Chinese Association of Rehabilitation Medicine, Rheumatology Branch of Chinese Research Hospital Association, and Rheumatology Branch of Beijing Association of Holistic Integrative Medicine, based on grading of recommendations assessment, development and evaluation (GRADE) and reporting items for practice guidelines in healthcare (RIGHT).
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Department of Translational Biomedicine Neuroscience, University of Bari "Aldo Moro", Bari, Italy.
Background: To compare the characteristics of type 1 macular neovascularization (MNV) and the surrounding choriocapillaris (CC) perfusion in patients with neovascular age-related macular degeneration (nAMD) versus those with pachychoroid neovasculopathy (PNV) using swept-source optical coherence tomography angiography (SS-OCTA).
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Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Neuroscience and Biomedical Engineering, Aalto University, Finland; Department of Computer Science, Aalto University, Finland.
Recent years have seen a growing interest in methods for predicting an unknown variable of interest, such as a subject's diagnosis, from medical images depicting its anatomical-functional effects. Methods based on discriminative modeling excel at making accurate predictions, but are challenged in their ability to explain their decisions in anatomically meaningful terms. In this paper, we propose a simple technique for single-subject prediction that is inherently interpretable.
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Right ventricular (RV) dysfunction after biventricular repair is critical in most adults with congenital heart disease (ACHD). Conventional 2D magnetic resonance imaging (MRI) measurement is considered as a 'gold standard' for RV evaluation; however, addition information on ACHD after biventricular repair is sometimes required. The reasons why adjunctive information is required is as follows: (I) to evaluate the severity of cardiac burden in symptomatic patients with normal RV size and ejection fraction (EF), (II) to determine the optimal timing of invasive treatments in asymptomatic ones, and (III) to detect proactively a potential cardiac burden leading to ventricular deterioration, from a fluid dynamics perspective.
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