The structural integrity of the brain's white matter as measured with an advanced MRI technique is lower in cognitively normal people who carry a genetic mutation associated with Alzheimer's disease than it is in non-carriers, ...
Oct 12, 2021
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An automated system that uses artificial intelligence (AI) can quickly and accurately sift through breast MRIs in women with dense breasts to eliminate those without cancer, freeing up radiologists to focus on more complex ...
Oct 5, 2021
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The development of new research guidelines for interventional oncology that standardize treatment outcomes and the reporting of data represents a major step forward for an increasingly important medical subspecialty, according ...
Sep 28, 2021
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Revised guidelines for lung cancer screening eligibility are perpetuating disparities for racial/ethnic minorities, according to a new study in Radiology.
Sep 21, 2021
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New recommendations will help provide more reliable, reproducible results for MRI-based measurements of cartilage degeneration in the knee, helping to slow down disease and prevent progression to irreversible osteoarthritis, ...
Sep 7, 2021
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Compared with commonly used clinical risk factors, a sophisticated type of artificial intelligence (AI) called deep learning does a better job distinguishing between the mammograms of women who will later develop breast cancer ...
Sep 7, 2021
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Prediction models based on clinical characteristics and imaging findings may help reduce the false-positive rate in women with dense breasts who undergo supplemental breast cancer screening with MRI, according to a new study ...
Aug 17, 2021
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MRI-guided focused ultrasound combined with microbubbles can open the blood-brain barrier (BBB) and allow therapeutic drugs to reach the diseased brain location under the guidance of MRI. It is a promising technique that ...
Jul 12, 2021
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(HealthDay)—Radiologist characteristics predict performance in screening mammography, according to a study published online June 22 in Radiology.
Jul 8, 2021
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A study by Sheffield and Oxford researchers using a cutting-edge method of imaging has identified persistent damage to the lungs of COVID-19 patients at least three months after they were discharged from hospital, and for ...
May 26, 2021
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