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A Machine Learning Model to Harmonize Volumetric Brain MRI Data for Quantitative Neuroradiologic Assessment of Alzheimer Disease.
Radiol Artif Intell
January 2025
From the Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Via Pilastroni 4, Brescia 25125, Italy (D.A., A.R.); Alzheimer Centre Amsterdam, Neurology, Vrije Universiteit, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands (V.V., W.M.v.d.F., B.M.T.); Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands (V.V., W.M.v.d.F., B.M.T.); Brain Imaging Centre, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary (B.W., T.A., Z.V.); Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary (B.W.); The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Australia (P.B.); School of Psychology, University of Surrey, Guildford, United Kingdom (T.A.); Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France (S.D.); Department of Epidemiology and Data Science, Vrije Universiteit, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands (W.M.v.d.F.); Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands (F.B.); Queen Square Institute of Neurology, University College London, United Kingdom (F.B.); and UCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering and Department of Computer Science, University College London, London, United Kingdom (F.B., D.C.A., A.A., N.P.O.).
Purpose To extend a previously developed machine learning algorithm for harmonizing brain volumetric data of individuals undergoing neuroradiologic assessment of Alzheimer disease not encountered during model training. Materials and Methods Neuroharmony is a recently developed method that uses image quality metrics as predictors to remove scanner-related effects in brain-volumetric data using random forest regression. To account for the interactions between Alzheimer disease pathology and image quality metrics during harmonization, the authors developed a multiclass extension of Neuroharmony for individuals with and without cognitive impairment.
View Article and Find Full Text PDFA breath of the future: a novel human model for COPD and beyond.
Eur Respir J
December 2024
Institute of Lung Health and Immunity, Comprehensive Pneumology Center Munich, Helmholtz Zentrum München, German Center for Lung Research (DZL), Munich, Germany
Commentary on Von Sneidern et al's "Evaluation and Treatment of Acute Facial Palsy: Opportunities for Optimization at a Single Institution."-Bridging the Gap Between Guidelines and Practice.
Facial Plast Surg Aesthet Med
November 2024
Division of Facial Plastic and Reconstructive Surgery, Department of Otolaryngology-Head & Neck Surgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Letter to editor: Impact of extracorporeal membrane oxygenation treatments on acquired von willebrand syndrome in patients with out of-hospital cardiac arrest: a retrospective observational study.
Thromb J
November 2024
Department of Medicine, Jinnah Sindh Medical University, Rafiqi H J Shaheed Road, Karachi, Pakistan.
This critique evaluates a retrospective observational study on the impact of extracorporeal membrane oxygenation (ECMO) treatments on acquired von Willebrand syndrome (AVWS) in patients with out-of-hospital cardiac arrest (OHCA). The study is praised for its detailed observational methodology, robust statistical analyses, and comprehensive overview of patient outcomes. These strengths enhance the applicability of the results to real-world clinical practice.
View Article and Find Full Text PDFIntravenous Amino Acids and Kidney Protection.
N Engl J Med
November 2024
Otto-von-Guericke University Magdeburg, Magdeburg, Germany
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