According to a study published in the American Journal of Roentgenology (AJR), both menstrual status and menstrual cycle time are associated with the degree of early background parenchymal enhancement (BPE) on contrast-enhanced ...
Jan 25, 2023
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According to an accepted manuscript published in the American Journal of Roentgenology, ringlike peripheral high iodine concentration maps from dual-energy CT (DECT) can help guide management in patients with known lung cancer ...
Jan 11, 2023
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Artificial intelligence (AI) is currently unable to pass one of the qualifying radiology examinations, suggesting that this promising technology is not yet ready to replace doctors, finds a study in the Christmas issue of ...
Dec 21, 2022
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An accepted manuscript published in the American Journal of Roentgenology (AJR) guides optimization of clinical protocols when implementing ultra-high-resolution photon-counting detector (UHR PCD) CT of the lungs, providing ...
Dec 8, 2022
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Researchers from the University of Ottawa and The Ottawa Hospital have found marijuana smokers have a higher rate of emphysema and airway diseases compared to cigarette smokers.
Nov 15, 2022
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Nearly 70% of breast cancer patients could find out if their cancer has spread to their lymph nodes without having to undergo an invasive sentinel node biopsy. New research published ahead of print in the Journal of Nuclear ...
Nov 10, 2022
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According to an accepted manuscript published in the American Journal of Roentgenology (AJR), socioeconomically disadvantaged patients are at increased risk of failure to undergo recommended follow-up imaging that referrers ...
Oct 26, 2022
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An artificial intelligence (AI) tool is highly effective at detecting pancreatic cancer on CT, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).
Sep 13, 2022
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When double reading screening mammograms, radiographers (technologists) trained for the task perform as well as radiologists in key areas, according to a study published in Radiology, a journal of the Radiological Society ...
Sep 13, 2022
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A decision-referral approach could leverage the strengths of both the radiologist and artificial intelligence to improve the diagnostic capability for breast cancer screening, according to a study published in the July issue ...
Sep 12, 2022
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