MRI treadmill protype system

May 18, 2011
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Simulated contrast-enhanced MRI helps assess prostate cancer
By Kate Madden Yee
Simulated contrast-enhanced MR images from noncontrast sequences using deep learning show promise for assessing clinically significant prostate cancer.
January 15, 2025
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By Kate Madden Yee
Stroke patients with large total myelin volume measured on synthetic MR imaging appear to have good functional outcomes on follow-up.
January 15, 2025
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ML model using CCTA, MRI data predicts MACE in cardiac patients
By Amerigo Allegretto
A machine-learning (ML) model that includes both CCTA and stress cardiac MRI data can accurately predict major adverse cardiovascular events (MACE).
January 14, 2025
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Genetic testing, risk assessment tied to more breast MRI uptake
By Amerigo Allegretto
Women with high-risk pathological variants for breast cancer as identified by genetic testing and risk assessment are more likely to undergo breast MRI.
January 13, 2025
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Deep-learning model based on MRI data predicts prostate cancer risk
By Kate Madden Yee
A deep-learning model based on MRI and clinical parameters appears effective for predicting the risk of prostate cancer progression.
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Breast MRI surveillance reduces disease recurrence
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In women with a personal history of breast cancer, postoperative MRI surveillance appears to lower their odds of advanced second breast cancer.
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Women with BRCA1/2 germline mutations are often denied breast MRI
By Kate Madden Yee
Women with BRCA1/2 germline mutations are often denied breast MRI -- despite the fact that the exam is recommended for this population.
January 3, 2025
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Deep learning plus DCE-MRI predicts breast cancer treatment response
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A deep-learning system based on DCE-MRI can predict pathological complete response in breast cancer patients.
January 2, 2025
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New MRI method shows treatment effects in lung transplant patients
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A new method of MRI lung scanning shows the effects of treatment for compromised lung function in transplant patients, U.K. researchers have reported.
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AI algorithm 'harmonizes' brain MRI data from different scanners
By Kate Madden Yee
A novel machine-learning algorithm used with MRI can harmonize brain volumetric data of patients undergoing Alzheimer's disease assessment gathered from different scanners.
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Functional MRI reveals brain changes caused by opioid use
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Functional MR imaging shows structural and functional alterations in the brains of people with opioid use disorder.
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Functional MRI shows that e-cigarette users perceive the product as equally rewarding as money -- a finding that highlights the addictive potential of vaping.
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