Gastrointestinal Radiology: Page 35

How well do SRU elastography recommendations define cirrhosis?
By Kate Madden Yee
Monday, November 27 | 3:40 p.m.-3:50 p.m. | SSE08-05 | Room E352How accurate are guidelines from the Society of Radiologists in Ultrasound (SRU) for evaluating advanced fibrosis in patients with cirrhosis? Researchers from the University of Pittsburgh will address this question in a session on Monday afternoon.
November 6, 2017
Both CEUS, CTA work for assessing hepatic artery blocks
By Kate Madden Yee
Monday, November 27 | 3:20 p.m.-3:30 p.m. | SSE10-03 | Room E353CBoth contrast-enhanced ultrasound (CEUS) and CT angiography (CTA) are helpful tools for evaluating hepatic artery obstruction in liver transplant patients, according to research being presented on Monday afternoon.
November 6, 2017
SWE, MRE help detect fibrosis in patients with fatty liver disease
By Kate Madden Yee
Monday, November 27 | 3:20 p.m.-3:30 p.m. | SSE08-03 | Room E352Ultrasound shear-wave elastography (SWE), MR elastography (MRE), 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 6, 2017
AI may enhance MRI-guided adaptive radiation therapy
By Erik L. Ridley
Wednesday, November 29 | 3:00 p.m.-3:10 p.m. | SSM12-01 | Room S404CDArtificial intelligence (AI) can provide automatic contouring of tumors and organs to support daily MRI-guided adaptive radiation therapy, researchers will report in this Wednesday session.
November 5, 2017
Machine learning can help predict KRAS mutation status
By Erik L. Ridley
Wednesday, November 29 | 10:40 a.m.-10:50 a.m. | SSK07-02 | Room E353AMachine learning and quantitative MRI features can assist in predicting the KRAS mutation status of tumors in patients with metastatic colon cancer, according to Harvard researchers.
November 5, 2017
Machine learning can help diagnose Crohn's disease
By Erik L. Ridley
Monday, November 27 | 11:50 a.m.-12:00 p.m. | SSC05-09 | Room E451AA machine-learning technique can diagnose Crohn's disease with high sensitivity and specificity, researchers from Italy report.
November 5, 2017
AI exploits tumor imaging features to predict survival
By Erik L. Ridley
Monday, November 27 | 11:50 a.m.-12:00 p.m. | SSC04-09 | Room E353AArtificial intelligence (AI) can make use of tumor heterogeneity features on MRI to accurately predict the survival of metastatic colon cancer patients, according to a study by Harvard researchers.
November 5, 2017
Deep learning can identify malpositioned feeding tubes
By Erik L. Ridley
Sunday, November 26 | 11:45 a.m.-11:55 a.m. | SSA12-07 | Room S403AIn this talk, researchers will highlight the potential of deep learning for speeding up the detection of malpositioned feeding tubes in critically ill patients.
November 5, 2017
CTC modifies surgical plan for colorectal cancer
By Abraham Kim
Wednesday, November 29 | 11:50 a.m.-12:00 p.m. | SSK08-09 | Room E353BAccurate identification of colorectal carcinomas can improve the surgical outcome of patients. Such was the case when Spanish researchers investigated the clinical usefulness of CT colonography (CTC) for spotting synchronous colorectal cancer.
November 1, 2017
CT matches MRI for assessing hepatocellular carcinoma
By Abraham Kim
Wednesday, November 29 | 11:30 a.m.-11:40 a.m. | SSK06-07 | Room E350Adding CT to MRI could boost the detection of hepatocellular carcinoma, and CT itself may serve as a viable substitute for suboptimal MR images, according to researchers from South Korea.
November 1, 2017
Radiologist CTC experience crucial in spotting adenoma
By Abraham Kim
Wednesday, November 29 | 10:30 a.m.-10:40 a.m. | SSK08-01 | Room E353BThe more experience radiologists have in evaluating CT colonography (CTC) scans, the better they seem to be at identifying adenomas, according to researchers from Italy.
November 1, 2017
Relaying CT info reduces stay for rule-out appendicitis
By Abraham Kim
Monday, November 27 | 3:10 p.m.-3:20 p.m. | SSE13-02 | Room S104BDirectly communicating findings on CT scans for suspected appendicitis boosts the speed at which patients are appropriately treated or discharged from the emergency department, according to Boston researchers.
November 1, 2017
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