Europe
Clinical News
Informatics
Industry News
Practice Management
Education
Subspecialties
More
Sign In
Breast Imaging
CV
Chest
Emergency
GI
GU
Head & Neck
Interventional
Physics
MSK
Neuro
Nuclear
Pediatric
Radiation Oncology
Neuroradiology: Page 58
fMRI-based machine learning helps predict coma outcomes
By
Kate Madden Yee
A machine-learning algorithm can predict from resting-state functional MRI (fMRI) data if a patient in a coma after cardiac arrest will regain consciousness, according to a study published online May 21 in the
American Journal of Neuroradiology
.
May 25, 2020
COVID-19 neuro findings marked by mental status, stroke
By
Kate Madden Yee
Neuroimaging features of hospitalized COVID-19 patients can vary, but they are dominated by altered mental status and acute ischemic stroke, according to research published May 21 in
Radiology
.
May 25, 2020
AI can detect, quantify traumatic brain injury on CT
By
Erik L. Ridley
An artificial intelligence (AI) algorithm was able to help accurately detect traumatic brain injury (TBI) on head CT exams, as well as assess the type of injury, quantify lesion burden, and measure lesion progression, U.K. researchers reported in an article published online May 14 in
Lancet Digital Health
.
May 19, 2020
New PET technique visualizes early Alzheimer's disease
By
Kate Madden Yee
A new PET technique can visualize early Alzheimer's disease by imaging the synaptic density of the brain as indicated by the presence of a particular protein, according to a study by researchers from Yale University that was published May 13 in the
Alzheimer's & Dementia Journal
.
May 12, 2020
MRI could help predict efficacy of stem cell therapy
By
AuntMinnie.com staff writers
MRI could help clinicians predict the efficacy of stem cell treatment for a brain injury children may sustain during birth called perinatal hypoxic-ischemic brain injury, according to a study published May 12 in
Cell Reports
.
May 11, 2020
PET tracer could more precisely diagnose Alzheimer's
By
Wayne Forrest
A new PET tracer called RO-948 could become the standard method for diagnosing Alzheimer's disease, accurately differentiating the condition from other neurodegenerative diseases, according to a study published May 11 in
JAMA Neurology
.
May 11, 2020
Stroke scans drop by 40% during COVID-19 outbreak
By
Brian Casey
The number of patients evaluated for stroke with imaging fell by 40% during the COVID-19 outbreak, according to a research letter published May 8 in the
New England Journal of Medicine
. The findings could be a sign that many stroke cases are not receiving appropriate medical care.
May 7, 2020
Diagnostic brain imaging overused for lung cancer
By
AuntMinnie.com staff writers
Head CT or brain MRI scans are overused to check for metastasis in patients with stage IA non-small cell lung cancer, according to a study published in the May issue of the
Journal of the National Comprehensive Cancer Network
.
May 7, 2020
AI predicts Alzheimer's disease using MRI, patient info
By
Erik L. Ridley
An artificial intelligence (AI) model was able to predict a patient's risk for Alzheimer's disease by analyzing brain MRI exams and nonimaging factors such as age, gender, and cognitive test scores, according to research published online May 1 in
Brain
.
May 7, 2020
MRI shows intracranial volume changes through adulthood
By
Wayne Forrest
MR images have revealed age-related fluctuations in the brain's intracranial volume over the course of adulthood, potentially making this information an important indicator in assessing one's health or neurological condition, according to a study published April 24 in
Neuroimage
.
May 3, 2020
Synaptive receives FDA clearance for point-of-care MRI
By
AuntMinnie.com staff writers
3D visualization firm Synaptive Medical has garnered U.S. Food and Drug Administration (FDA) clearance for its Evry dedicated head MRI system.
April 30, 2020
Pay attention to patient portals
By
AuntMinnie.com staff writers
Patients appreciate getting imaging results both via direct provider contact and via electronic patient portals – but they may have less understanding of advanced imaging results when they receive them online, according to a study published April 29 in the
Journal of the American College of Radiology
.
April 29, 2020
Previous Page
Page 58 of 238
Next Page