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Characterizing body fat with MRI helps predict Alzheimer's risk

AuntMinnie

CHICAGO -- Characterizing an individual's type of body fat using body MRI can help predict Alzheimer's disease risk up to 20 years before symptoms manifest, according to research results presented December 2 at the RSNA meeting. Images courtesy of the RSNA.

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FES-PET shows promise staging patients with low-grade breast cancer

AuntMinnie

Between December 2018 and January 2021, the group enrolled 41 female participants (median age, 56 years) who underwent both PET scans. Nuclear medicine physicians analyzed both sets of images and determined disease stages, with final stages verified via biopsy. (B) All lesions had also been identified at mammography and MRI.

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How Diagnostic Imaging is Revolutionizing Early Disease Detection

Professional Radiology

The way physicians identify illness is changing due to advances in medical imaging, which make early diagnosis quicker, more precise, and less invasive. These technologies, ranging from high-resolution MRIs to state-of-the-art CT scans, can give doctors the ability to spot possible health problems before symptoms even show up.

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PET/MRI reveals separate Alzheimer’s biomarkers in single scan

AuntMinnie

A PET radiotracer for diagnosing Alzheimer’s disease may also be used to measure vascular brain changes in patients during PET/MRI scans, according to a study published December 7 in the Journal of Nuclear Medicine. Image courtesy of the Journal of Nuclear Medicine. The researchers enrolled 20 participants.

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Biogen discontinues Alzheimer’s drug Aduhelm, once expected to spur surge in imaging use

Radiology Business

Screening for the drug necessitated a PET scan, and individuals also required a baseline MRI within one year before treatment, with more to follow.

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PET/MRI rules out tau protein in late-life depression

AuntMinnie

A PET/MRI study has provided insights into the neurobiology of late-life depression, with researchers reporting that tau protein – a key protein involved in Alzheimer’s disease – does not appear to be involved in the condition. Image and caption courtesy of the American Journal of Geriatric Psychiatry.

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AI spots unidentified brain tumor on PET imaging

AuntMinnie

An AI algorithm designed for brain PET imaging found a glioblastoma in a patient that had gone undetected by physicians, according to a case reported February 15 in the Journal of Nuclear Medicine. Baseline scan (A), segmentation results (B), and follow-up scan (C) from patient with molecular glioblastoma.