We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Study Finds That Over 70 Percent of Emergency CT Referrals Are ‘Inadequate’
In a review of nearly 1,300 emergency referrals for computed tomography (CT) scans, approximately 28 percent were deemed to have adequate requisition quality according to a RI-RADS analysis.
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Large Mammography Study Examines Contributing Factors with Higher False-Negative Rates
Noting an increased incidence of false negatives in screening and diagnostic mammography, researchers found that a personal history of breast cancer was associated with over a 3.6-fold higher likelihood of false negatives.
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Study Shows Promise of Emerging Radiotherapeutic Agent for Treatment of Gastroenteropancreatic Neuroendocrine Tumors
Use of the radiotherapeutic agent 177Lu-edotreotide (ITM-11) demonstrated significantly higher absorption in gastroenteropancreatic neuroendocrine tumors than normal organs along with a favorable safety profile, according to SPECT research recently presented at the European Association of Nuclear Medicine (EANM) conference.
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FDA Clears AI Software for Large Vessel Occlusion Detection on CT Angiography Scans
Facilitating timely triage, the qER-CTA software enables AI assessment of the internal carotid artery and M1 segment of the middle cerebral artery for possible large vessel occlusions (LVOs).
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New Research Assesses the Impact of Pre-Op MRI on Breast Cancer Recurrence
Pre-op breast MRI was associated with a 12.5 percent reduced 5-year cumulative incidence of recurrence for patients who underwent surgery for hormone receptor-negative cancer, according to newly published research.
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Maintaining Quality Standards for Breast Imaging Amid Rising Imaging Volumes: An Interview with Deepa Sheth, MD
In a recent interview, Deepa Sheth, M.D., discussed the rising incidence of breast cancer, key considerations in supplemental imaging for women with dense breasts and use of the CIVIE RadPod platform to facilitate consistent quality and imaging reads by fellowship-trained breast radiologists.
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MRI-Based Deep Learning for Lymph Node Metastasis Detection in Colorectal Cancer: What a New Meta-Analysis Reveals
Deep learning assessment of MRI offered a 24 percent higher sensitivity than radiologist interpretation for detecting lymph node metastasis in patients with colorectal cancer, according to a new meta-analysis.