Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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SNMMI recommends Aetna reverse 2 PET coverage decisions

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) has issued a statement recommending Aetna reverse its decision not to cover the use of gallium Ga 68 dotatate PET or fluciclovine F18 PET for treating cancer patients.

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SNMMI urges Aetna to alter coverage of 2 PET tracers

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) addressed two letters to Aetna recommending the health insurance giant alter its radiopharmaceutical coverage policy to include PET imaging agents dotatate and fluciclovine.

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Patient navigation programs—despite extra costs—narrow disparities in underserved populations

Patient navigation programs are being integrated into more healthcare systems to reduce care disparities, according to an article published online in the Journal of the American College of Radiology.

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UK ultrasound method diagnoses prostate cancer better than MRI, biopsy

Researchers from Dundee University in Scotland have developed a new ultrasound method that may improve diagnosis and treatment options for prostate cancer, according to an April23 article by BBC News.

New database measures safety of implantable devices in MR imaging

A streamlined database detailing protocol for scanning patients with a variety of implanted devices could be changing radiologists’ efficiency and confidence for the better, according to research out of Montefiore Medical Center in the Bronx, New York.

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Obligate overdiagnosis rates of mammographic screening depend on age

Obligate overdiagnosis rates of mammographic screenings are strongly dependent on a women's age at the time of the noninvasive breast exam, according to a study recently published in Radiology.

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Machine learning model closely predicts patient waiting times for CT, MRI

Machine learning might be the next step in predicting patient wait times and appointment delays—factors crucial to healthcare’s quadruple aim and its emphasis on quality of care—in radiology practices, researchers have reported in the Journal of the American College of Radiology.

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Homemade microscope shows cancer virus clinging to human DNA

A high-tech microscope developed by scientists at the University of Virginia (UVA) School of Medicine has captured images of cancer-causing viruses clinging to human DNA, according to a UVA Health System release.