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January 2025
Rheumazentrum Ruhrgebiet Herne, Ruhr-University Bochum, Germany.
Axial spondyloarthritis manifests as a chronic inflammatory disease primarily affecting the sacroiliac joints and spine. Although chronic back pain and spinal stiffness are typical initial symptoms, peripheral (ie, enthesitis, arthritis, and dactylitis) and extra-musculoskeletal (ie, uveitis, inflammatory bowel disease, and psoriasis) manifestations are also common. Timely and accurate diagnosis is challenging and relies on identifying a clinical pattern with a combination of clinical, laboratory (HLA-B27 positivity), and imaging findings (eg, structural damage on pelvic radiographs and bone marrow oedema on MRI of the sacroiliac joints).
View Article and Find Full Text PDFIroning It Out: Unraveling the Mysteries of Hemorrhage Post Myocardial Infarction With Cardiac MRI.
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Department of Cardiovascular Medicine, Stanford University, Stanford, California, USA; Department of Radiology, Stanford University, Stanford, California, USA. Electronic address:
A lightweight generative model for interpretable subject-level prediction.
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December 2024
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.
View Article and Find Full Text PDFEditorial for "Morphological Study on Lenticulostriate Arteries in Patients With Middle Cerebral Artery Stenosis at 7 T MRI".
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Department of Neurology, Mayo Clinic at Rochester, Rochester, Minnesota, USA.
Greater than the sum of its parts: multimodality imaging in adults with congenital heart disease.
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Department of Heart, Vascular & Thoracic, Division of Cardiology & Cardiovascular Medicine - Pediatric Cardiology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
As the population of adults with congenital heart disease (ACHD) grows, there also grows an expanded need for non-invasive surveillance methods to guide management and intervention. A multimodal imaging approach layers complementary insights from echocardiography, computed tomography (CT), magnetic resonance imaging (MRI), and other modalities into a clinician's view of patient physiology. Merely applying strategies from acquired adult cardiac disease would be inadequate and potentially misleading.
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