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Abdominal Imaging: Page 23
Tomoelastography helps stage hepatic fibrosis
By
Kate Madden Yee
Monday, November 26 | 10:40 a.m.-10:50 a.m. | SSC06-02 | Room N229Tomoelastography shows promise as a tool for mapping the distribution of fibrosis throughout the liver, according to this study to be presented on Monday morning.
November 4, 2018
Multiple elastography techniques effective for diagnosing liver disease
By
Kate Madden Yee
Monday, November 26 | 10:30 a.m.-10:40 a.m. | SSC06-01 | Room N229Several different elastography techniques -- including shear-wave, MR, and transient elastography -- are all effective methods for diagnosing advanced fibrosis in patients with nonalcoholic fatty liver disease, according to researchers from the University of Pittsburgh.
November 4, 2018
Resolution reference level helps optimize CT radiation
By
Abraham Kim
Monday, November 26 | 3:20 p.m.-3:30 p.m. | SSE22-03 | Room S504ABU.S. researchers have proposed a new metric for evaluating CT radiation exposure -- resolution reference level -- that may help optimize image quality and dose standards across different institutions.
October 31, 2018
CT biomarker helps stage chronic liver disease
By
Abraham Kim
Monday, November 26 | 11:00 a.m.-11:10 a.m. | SSC06-04 | Room N229Liver surface nodularity -- a quantitative biomarker evident on CT scans -- accurately stages chronic liver disease nearly as well as traditional liver biopsy, according to researchers from Alabama.
October 31, 2018
Abdominal CT protocols confuse nonradiology clinicians
By
Abraham Kim
Sunday, November 25 | 1:00 p.m.-1:30 p.m. | QI101-ED-SUB1 | Lakeside, QR Community, Station 1The majority of nonradiology clinicians are not entirely sure which type of abdominal CT exam -- with or without contrast -- is most appropriate for patients presenting with pain or disease of the abdomen, according to this Sunday poster presentation.
October 31, 2018
AI algorithm can triage routine abdominal CT exams
By
Erik L. Ridley
Thursday, November 29 | 10:20 a.m.-10:30 a.m. | RC608-07 | Room E451BA Swiss team will describe how an artificial intelligence (AI) algorithm can identify acute findings on routine abdominal CT scans, enabling radiologists to prioritize reading of these urgent exams.
October 28, 2018
MRI could play role in curing digestive disorders
By
Wayne Forrest
Relief may finally be near for people who experience significant abdominal pain and discomfort. Researchers at Purdue University are developing a way to use MRI to track the efficacy of electric stimulation of the vagus nerve to alleviate stomach dysfunction, according to a paper published in the October issue of
Neurogastroenterology and Motility
.
October 25, 2018
CT radiomics improves management of bile duct cancer
By
Abraham Kim
Researchers from China have developed a radiomics model that can determine the malignancy of lymph node metastases in patients with bile duct cancer by analyzing features on CT scans, according to an article recently published online in
Radiology
. They believe the model can predict the survival rate of patients.
October 18, 2018
Check-Cap submits IDE application for C-Scan
By
AuntMinnie.com staff writers
Colon capsule developer Check-Cap has submitted an investigational device exemption (IDE) application to the U.S. Food and Drug Administration for its C-Scan system.
October 8, 2018
Elastography, MRI effective for detecting liver lesions
By
Kate Madden Yee
MRI and ultrasound elastography with an acoustic radiation force impulse technique are the most effective modalities for identifying liver nodules in patients who undergo a cardiac procedure that can lead to liver damage, according to a study published online September 24 in the
American Journal of Roentgenology
.
September 25, 2018
ISCT: 5 ways DECT can improve the value of imaging
By
Abraham Kim
SAN DIEGO - What are the top clinical applications of dual-energy CT (DECT), and in what ways does the technique add value to diagnostic imaging? Radiologists from Stanford and Duke University tackled these and similar questions in a session at the 2018 International Society for Computed Tomography (ISCT) symposium.
September 16, 2018
Deep learning can accurately stage liver fibrosis on CT
By
Erik L. Ridley
Deep-learning software can accurately stage liver fibrosis on contrast-enhanced CT studies, according to an article published online September 4 in
Radiology
. In a new study from South Korea, the software outperformed four radiologists as well as two serum fibrosis markers calculated from laboratory tests.
September 6, 2018
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