RADIOLOGY NEWS
New class of radiotracers targets many cancer types
June 12, 2019 -- Oncologists and nuclear medicine technologists may soon have another weapon in their arsenal to diagnose and evaluate various cancers through PET/CT, according to a study published in the June issue of the Journal of Nuclear Medicine.  Discuss
AI converts low-dose CT scans to high-quality studies
June 12, 2019 -- An artificial intelligence (AI) algorithm can transform low-dose CT (LDCT) scans into high-quality exams that radiologists may even prefer over LDCT studies produced via commercial iterative reconstruction techniques, according to research published online June 10 in Nature Machine Intelligence.  Discuss
Shorter MRI protocol reduces sedation for kids
June 11, 2019 -- Researchers from Emory University developed an abbreviated MRI protocol for brain scans of pediatric patients with headaches, dramatically reducing the need to sedate the children, according to a study published in the June issue of the American Journal of Roentgenology.  Discuss
Better ultrasound protocols slash trauma imaging overuse
June 11, 2019 -- When lower extremity duplex ultrasound screening protocols for the trauma department are refined, overuse of hospital resources is reduced by more than a third -- and without negative effect on patient outcomes, according to a new study published June 5 in the Journal of Surgical Research.  Discuss
Radiologists 'get the gist' of cancer in breast images
June 10, 2019 -- Radiologists can "get the gist" of breast cancer in mammograms up to three years before clinical signs of it are visible, according to a new study published online June 5 in BJR. The results support the fact that radiologists and their expertise are still crucial when it comes to cancer detection.  Discuss
Most diabetes patients unprepared for FDG-PET/CT scans
June 10, 2019 -- Many nuclear medicine practices are neglecting to tell patients with diabetes that their medications could affect the image quality of their FDG-PET/CT scans, according to a study published in the June issue of the Journal of the American College of Radiology.  Discuss
Deep learning helps detect intracranial aneurysms
June 10, 2019 -- A deep-learning algorithm called HeadXNet can improve the performance of clinicians of varied specialties and levels of experience for detecting intracranial aneurysms on head CT angiography exams, according to research published online June 7 in JAMA Network Open.  Discuss
How radiologists can avoid appropriate use penalties
June 10, 2019 -- Is your radiology practice ready for new Medicare requirements on appropriate use and clinical decision support? Or more accurately, are your referring physicians ready? Well they better be, or else your practice could be paying the price. Sandy Coffta of Healthcare Administrative Partners explains.  Discuss
6 ways AI will enhance musculoskeletal imaging
June 7, 2019 -- Artificial intelligence (AI) is poised to greatly improve all aspects of the musculoskeletal imaging chain, helping radiology practices be more efficient while still maintaining accuracy and report quality, according to an article published online June 5 in the American Journal of Roentgenology.  Discuss
Cinematic rendering tops CT to visualize patient anatomy
June 7, 2019 -- Cinematically rendered CT images allowed clinicians to understand patient anatomy more quickly and with a greater degree of accuracy than conventional CT, according to an article recently published online in JAMA Surgery. Researchers from Germany suggest the technique may also benefit surgical planning and decision-making.  Discuss
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