Europe
Clinical News
Informatics
Industry News
Practice Management
Education
Subspecialties
More
Sign In
CT
Digital X-Ray
Interventional
Molecular Imaging
MRI
Radiation Oncology/Therapy
Ultrasound
Womens Imaging
CT: Page 106
Emergency visits present cancer screening opportunities
By
Kate Madden Yee
Radiologists and their emergency department (ED) physician peers can leverage opportunities to boost cancer screening when patients present in the ED, according to a study published January 23 in the
Journal of the American College of Radiology
.
January 26, 2021
3D printing may help to uncover secrets of AAOCA
By
Erik L. Ridley
3D printing may be able to help in stratifying risk and making surgical decisions for patients with anomalous aortic origin of the coronary arteries (AAOCA), one of the most common causes of sudden cardiac death in children, according to research published online January 21 in
Computer Methods and Programs in Biomedicine
.
January 26, 2021
Imaging leads to removal of 3-cm toy from dementia patient
By
Melissa Busch
Imaging helped physicians identify and remove a spinning top toy from an 83-year-old woman in Florida who had end-stage dementia and an oral fixation. Details of the case were published on January 20 in the
Cureus Journal of Medical Science
.
January 25, 2021
CT spots patients with high-risk liver disease
By
AuntMinnie.com staff writers
The Fibrosis-4 (FIB-4) index and multiple CT findings can identify patients with high-risk nonalcoholic fatty liver disease (NAFLD), according to new research published on January 21 in the
American Journal of Roentgenology
. However, nonalcoholic steatohepatitis (NASH) remains undetectable on CT.
January 21, 2021
MIDRC releases first set of COVID-19 images
By
AuntMinnie.com staff writers
The first set of images of patients with COVID-19 has gone live in the Medical Imaging and Data Resource Center (MIDRC), a collaboration of medical imaging organizations funded by the U.S. National Institute of Biomedical Imaging and Bioengineering.
January 21, 2021
AI enhances performance of CT lung cancer screening
By
Erik L. Ridley
Combining artificial intelligence (AI) with Lung-RADS can sharply increase specificity in low-dose CT lung cancer screening programs without hurting sensitivity, according to a January 19 study in the
Journal of the American College of Radiology
.
January 21, 2021
Canon's wide-bore CT for radiation therapy clears FDA
By
AuntMinnie.com staff writers
The extra-wide-bore Aquilion Exceed LB CT scanner from Canon Medical Systems for applications in radiation therapy has been cleared by the U.S. Food and Drug Administration.
January 20, 2021
Can CT provide a better map of breast density?
By
Theresa Pablos
An international research team used dozens of CT images to map breast density in a January 16 study published in
Medical Physics
. Their technique could lead to more accurate radiation dose estimates and improved breast cancer risk models.
January 20, 2021
IMV: CT procedure volume fell 20% in 2020
By
Lorna Young
The COVID-19 pandemic had an immediate impact on total CT procedure volume in the U.S. in 2020, with procedure volume projected to be 20% lower than in 2019. That's according to a new report by market research firm IMV Medical Information Division.
January 19, 2021
Radiomics, AI can guide NSCLC treatment decisions
By
Erik L. Ridley
Radiomics and artificial intelligence (AI) can be used to guide treatment of non-small cell lung cancer (NSCLC) without the need for a biopsy, according to research presented January 13 at the American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.
January 15, 2021
Cobham nabs $48M contract for ASICs
By
AuntMinnie.com staff writers
Cobham Advanced Electronic Solutions (CAES) received a $48Â million contract to support the medical imaging industry. The company will provide application-specific integrated circuits and product support under the deal.
January 14, 2021
CT radiomics classifies small nodules found in CT lung screening
By
Erik L. Ridley
A machine-learning algorithm can be highly accurate for classifying very small lung nodules found in low-dose CT lung screening programs, according to a poster presentation at this week's American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.
January 14, 2021
Previous Page
Page 106 of 668
Next Page