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Anti-amyloid therapy and cerebral blood flow changes on Magnetic Resonance Imaging: a potential longitudinal biomarker of treatment response?

AJNR Am J Neuroradiol

January 2025

From the Department of Department of Radiology, Brain Health Imaging Institute (A.R-F, J.I, S.P, M.d, G.C.C) Weill Cornell Medicine, New York-Presbyterian Hospital, New York, New York, USA; the Department of Neurology (A.R-F), Pontificia Universidad Javeriana, Bogota, Colombia; the Department of Radiology, Division of Molecular Imaging and Therapeutics (A.R-F, J.I) Weill Cornell Medicine, New York-Presbyterian Hospital, New York, New York, USA; the Department of Neurology (D.Z, MM, L.R, A.S.N) Weill Cornell Medicine, New York-Presbyterian Hospital, New York, New York, USA.

Amyloid-targeting therapy has recently become widely available in the U.S. for the treatment of patients with symptomatic mild Alzheimer's disease (AD).

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Innovative perspectives on metal free contrast agents for MRI: Enhancing imaging efficacy, and AI-driven future diagnostics.

Acta Biomater

January 2025

Institute of Smart Biomedical Materials, School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China. Electronic address:

The U.S. Food and Drug Administration (FDA) has issued a boxed warning and mandated additional safety measures for all gadolinium-based contrast agents (GBCAs) used in clinical magnetic resonance imaging (MRI) due to their prolonged retention in the body and associated adverse health effects.

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Oesophageal duplication cysts are a subtype of foregut cysts, associated with the presence of ectopic gastric mucosa. Gastric acid secreted by this mucosa can lead to complications. We report one such unusual case of complication leading to the formation of broncho-oesophageal fistula in a duplication cyst.

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Artificial intelligence and stroke imaging.

Curr Opin Neurol

February 2025

High Dimensional Neurology Group, UCL Queen Square Institute of Neurology, University College London, Russell Square House, Bloomsbury, London, UK.

Article Synopsis
  • The review highlights the complexity of stroke, driven by disruptions in blood supply and complicated by the neural and vascular systems' interactions.
  • Advances in machine vision and deep learning are improving predictive tools for stroke, but their clinical impact is limited by real-world data challenges.
  • Although AI's potential benefits for stroke care are clear, the best approaches for practical application are still being explored, with deep generative models seen as a promising avenue for innovation.
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Assessment of Standards for Reporting of Diagnostic Accuracy (STARD) 2015 guideline adherence in medical imaging diagnostic accuracy studies published in 2023.

J Clin Epidemiol

December 2024

South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA 5042, Australia; Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia.

Background: The Standards for Reporting of Diagnostic Accuracy (STARD) 2015 guideline facilitates evaluation of key aspects of diagnostic test accuracy (DTA) studies and their findings, including the risk of bias and applicability of findings.

Objective: To evaluate the completeness of reporting in medical imaging DTA research in a sample of studies published in 2023.

Materials And Methods: A systematic search of Medline, Embase and the Cochrane Library was performed to identify medical imaging DTA studies published between January - June 2023 that assessed one or more index imaging tests compared to a reference standard and reported test performance using relevant outcome measures.

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