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MRI: Page 160

AI may help improve management of stroke patients
By Erik L. Ridley
Artificial intelligence (AI) algorithms can determine from multiparametric MRI exams if a stroke patient's symptoms began within 4.5 hours -- the recommended window of time for a patient to be treated with thrombolysis, according to research published online January 28 in Stroke.
February 4, 2020
2018 10 18 20 42 6759 Stroke Mri 400
Blood test helps gauge patients' CSVD risk
By AuntMinnie.com staff writers
A blood test that assesses levels of six proteins in the blood can help gauge a patient's risk of cerebral small-vessel disease (CSVD), a disease which can lead to dementia and stroke, according to a study by researchers from the University of California, Los Angeles and published online January 24 in PLOS One.
February 3, 2020
2020 02 05 16 14 7156 2020 02 04 White Matter Thumb
3DR Labs, Resonance partner on AI for liver MRI
By AuntMinnie.com staff writers
Radiology image-processing firm 3DR Labs said it will include in its reports liver iron concentration data obtained using imaging laboratory services provider Resonance Health's artificial intelligence (AI) tool for analyzing MR images.
February 2, 2020
2017 03 06 17 07 58 262 Man Liver 400
FDA clears Qynapse's brain MRI analysis software
By AuntMinnie.com staff writers
Medical technology company Qynapse said it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its QyScore brain MRI analysis software.
February 2, 2020
2020 02 03 20 54 1449 Qynapse Qy Score 20200203200539
MRI scoring system improves ovarian cancer detection
By Wayne Forrest
Researchers from France and the U.K. have developed an MRI-based, five-point scoring system that can distinguish between malignant and benign ovarian cysts with an accuracy of 90% when ultrasound exams are inconclusive, according to a study published January 24 in JAMA Network Open.
February 2, 2020
2020 01 31 23 45 3286 Ovarian Cancer2 400
Deep learning distinguishes between Alzheimer's, iNPH
By Erik L. Ridley
A deep-learning algorithm can differentiate between Alzheimer's disease and idiopathic normal pressure hydrocephalus (iNPH) on MRI scans at a comparable accuracy to radiologists, according to research published online January 22 in Magnetic Resonance in Medical Sciences.
February 2, 2020
2017 04 14 16 09 55 745 Amyloid Plaque Alzheimer 400
MRI data show smoking, alcohol age the brain
By Wayne Forrest
It is no secret that excessive smoking and alcohol consumption harm one's health. Now, MR images and a machine-learning metric show that these bad habits also can age the brain prematurely, according to a study published online on January 30 in Scientific Reports.
January 30, 2020
2020 01 30 23 32 9205 Smoking Drinking 400
Polarean Imaging reports on phase III lung trials
By AuntMinnie.com staff writers
Polarean Imaging is touting the results of two phase III clinical trials for its drug-device combination that uses hyperpolarized xenon-129 (Xe-129) gas with MRI to visualize and quantify regional lung function.
January 29, 2020
2017 12 20 17 16 6396 Lung General 400
MRI Interventions scores $17.5M investment
By AuntMinnie.com staff writers
MRI Interventions has received a $10 million strategic investment from PTC Therapeutics and another $7.5 million from Petrichor Healthcare Capital Management.
January 29, 2020
2019 11 05 22 41 9992 Dollar Sign Golden 400
Blood clots on CT, MRI predict AAA growth
By AuntMinnie.com staff writers
The presence of a blood clot on the MRI or CT scans of individuals with an abdominal aortic aneurysm (AAA) was associated with a twofold increase in the growth rate of aneurysms, potentially increasing their risk of rupture, according to a study published online January 28 in Radiology.
January 29, 2020
2020 01 30 01 39 0643 2020 01 30 Ct Aneurysm Thumb
No signs of residual gadolinium after MR arthrography
By Wayne Forrest
No signs of residual gadolinium uptake in the brain were found following intra-articular administration of a gadolinium-based contrast agent (GBCA) for MR arthrography in a new study, published online January 25 in Skeletal Radiology. The findings indicate that residual gadolinium may not occur with intra-articular use.
January 28, 2020
2016 10 04 14 10 28 621 Gadolinium 400
Deep learning could help MS patients avoid GBCA MRI
By Wayne Forrest
With the aid of a deep-learning model, a team of researchers has detected with greater than 70% accuracy active lesions in patients with multiple sclerosis (MS), potentially helping them avoid repeat MRI scans and multiple doses of gadolinium-based contrast agents (GBCAs), according to a study published in the February issue of Radiology.
January 27, 2020
2018 08 10 22 42 4903 Artificial Intelligence Brain 400
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