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Deep Learning with SPECT Accurately Predicts Major Adverse Cardiac Events
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Deep Learning with SPECT Accurately Predicts Major Adverse Cardiac Events
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An advanced artificial intelligence technique known as deep learning can predict major adverse cardiac events more accurately than current standard imaging protocols, according to research presented at the Society of Nuclear Medicine and Molecular Imaging 2021 Annual Meeting. Utilizing data from a registry of more than 20,000 patients, researchers developed a novel deep learning network that has the potential to provide patients with an individualized prediction of their annualized risk for adverse events.
Research Article
Positron emission tomography and magnetic resonance imaging in experimental human malaria to identify organ-specific changes in morphology and glucose metabolism: A prospective cohort study
John Woodford , Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing
Affiliation Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
Jennie Roberts, Roles Investigation, Project administration, Writing – review & editing
Affiliations Clinical Tropical Medicine Laboratory, QIMR-Berghofer Medical Research Institute, Brisbane, Australia, Centre for Defence Pathology, Royal Centre for Defence Medicine, Birmingham, United Kingdom Roles Project administration, Supervision, Writing – review & editing
Affiliatio
PET Imaging Adds Valuable Information to Brain Metastasis Monitoring
After radiosurgery concurrent with nivolumab in 59-year-old patient with melanoma BM (patient 1; Supplemental Tables 3 and 5), F-18 FET PET at follow-up 12 weeks after treatment initiation (bottom row) shows significant decrease of metabolic activity (TBRmean, ?28%) compared with baseline (top row), although MRI changes were consistent with progression according to iRANO criteria. Reduction of metabolic activity was associated with stable clinical course over 10 mo. CE = contrast-enhanced. Image created by N. Galldiks et al., Research Center Juelich, Juelich, Germany.
May 5, 2021 For patients with brain metastases, amino acid positron emission tomography (PET) can provide valuable information about the effectiveness of state-of-the-art treatments. When treatment monitoring with contrast-enhanced magnetic resonance imaging (MRI) is unclear, adding 18F-FET PET can help to accurately diagnose recurring brain meta
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