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PET/CT can rule out CAV in heart transplant patients
By Will Morton
Cardiac PET/CT scans can effectively rule out moderate to severe cardiac allograft vasculopathy (CAV) in heart transplant patients.
January 17, 2025
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Machine learning can predict immunotherapy response in NSCLC patients
By Kate Madden Yee
Machine learning (ML) can help clinicians predict immunotherapy response in patients with inoperable non-small cell lung cancer (NSCLC).
January 17, 2025
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Current topics in mammography
By Sandy Coffta
Sandy Coffta of Healthcare Administrative Partners discusses changes in reporting and reimbursement for mammography exams.
January 17, 2025
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Surgeon General's alcohol advisory puts patient counseling at the fore
By Amerigo Allegretto
Patient communication and education may be key for radiologists in the wake of the Surgeon General’s advisory on alcohol-related cancer risk.
January 17, 2025
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FAPI-PET shows promise for imaging gastric cancers
By Will Morton
Gallium-68 fibroblast activation protein inhibitor (FAPI) PET/CT is a promising new method for imaging gastric cancer.
January 16, 2025
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CEM has slightly higher mean glandular dose than DBT, mammography
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Contrast-enhanced mammography (CEM) has a slightly higher mean glandular dose than other breast imaging modalities.
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ACS: Cancer mortality continues to drop
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Cancer mortality rates continue to drop -- although incidence of the disease is rising in women, according to an annual study released by the ACS.
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POCUS useful for diagnosis of retained conception tissue
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Point-of-care ultrasound (POCUS) can be a useful tool for diagnosing the presence of retained conception tissue.
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Top 5 predictions for the imaging IT and AI markets in 2025
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Amy Thompson of Signify Research shares five predictions for the Imaging IT and AI markets in a new column.
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Simulated contrast-enhanced MRI helps assess prostate cancer
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Simulated contrast-enhanced MR images from noncontrast sequences using deep learning show promise for assessing clinically significant prostate cancer.
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AI guidance leads to better LUS image acquisition by novice users
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Healthcare professionals who are not sonography experts can successfully acquire lung ultrasound (LUS) images with AI assistance.
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Stroke patients with large total myelin volume measured on synthetic MR imaging appear to have good functional outcomes on follow-up.
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