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Gastrointestinal Radiology: Page 21
Acute abdominal symptoms may indicate COVID-19
By
Kate Madden Yee
Researchers from New York City have found that patients who present with acute abdominal symptoms may have COVID-19 and, if so, are likely to require hospitalization, according to a study published July 4 in
European Radiology
.
July 7, 2020
AI could help radiologists better detect kidney cancer
By
Kate Madden Yee
Artificial intelligence (AI) used with CT data could help abdominal radiologists better identify and classify kidney cancer, according to a presentation delivered at the recent virtual annual meeting of the Society for Imaging Informatics in Medicine.
July 5, 2020
AMRA teams up with National University of Singapore
By
AuntMinnie.com staff writers
Swedish image analysis software developer AMRA Medical is collaborating with the National University of Singapore's Yong Loo Lin School of Medicine on a study aimed at improving the understanding of nonalcoholic fatty liver disease.
June 29, 2020
COVID-19 delays appendicitis diagnosis, treatment
By
AuntMinnie.com staff writers
Quarantine and stay-at-home orders used to try to control the COVID-19 pandemic have affected whether patients have received necessary healthcare for other conditions, such as appendicitis, according to a study published June 28 in the
Journal of the American College of Radiology
.
June 29, 2020
Imaging shows new, post-SARS-CoV-2 illness in children
By
Kate Madden Yee
Imaging findings are illuminating the nature of a newly identified, post-SARS-CoV-2 condition that affects the airways in children called multisystem inflammatory syndrome, according to a study published June 25 in
Radiology
.
June 25, 2020
CT reduces unnecessary appendectomies
By
Kate Madden Yee
CT can be a valuable tool for diagnosing appendicitis, helping clinicians better manage the condition and enabling patients to avoid unnecessary appendectomies, according to a letter published June 20 in the
International Journal of Surgery
.
June 25, 2020
Caution indicated with new GBCAs for kidney patients
By
Kate Madden Yee
Even though the occurrence of nephrogenic systemic fibrosis after exposure to gadolinium-based contrast agents (GBCAs) in patients with impaired kidney function is rare, clinicians should be cautious when using these agents in this population, according to a study published June 22 in the
Annals of Internal Medicine
.
June 22, 2020
AI algorithm detects appendicitis on CT exams in ER
By
Erik L. Ridley
South Korean researchers developed an artificial intelligence (AI) algorithm that was highly accurate and generalizable for detecting acute appendicitis on CT exams in emergency room (ER) patients. The algorithm could, if necessary, potentially fill in for a radiologist, according to research published online June 12 in
Scientific Reports
.
June 17, 2020
Deep learning detects HCC on contrast-enhanced MRI
By
Erik L. Ridley
A deep-learning algorithm can detect hepatocellular carcinoma (HCC) on contrast-enhanced liver MRI exams within seconds and at an accuracy level comparable to a less-experienced radiologist, according to a preliminary study published online June 11 in
Scientific Reports
.
June 11, 2020
One-day training boosts readers' CTC performance
By
AuntMinnie.com staff writers
A one-day training program effectively improves the sensitivity of radiologists when reading CT colonography (CTC) exams, according to a study published June 9 in
Clinical Radiology
.
June 9, 2020
Cryoablation comparable to surgery for kidney cancer
By
AuntMinnie.com staff writers
Percutaneous cryoablation is comparable to surgery for treating kidney cancer, offering similar 10-year survival rates and lower rates of complications, according to a study published June 9 in
Radiology
.
June 9, 2020
AI can aid radiologists in detecting pancreatic cancer
By
Erik L. Ridley
An artificial intelligence (AI) algorithm helped radiologists from Taiwan improve their performance in detecting pancreatic cancer on CT exams, demonstrating strong performance across a range of ethnicities, according to research published online May 26 in
Lancet Digital Health
.
May 31, 2020
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