Diagnostic Imaging's Weekly Scan: June 5-June 11
Catch up on the top radiology content of the past week.
Diagnostic Imaging's Weekly Scan is your chance to catch up on the latest radiology content, from new research and device news to the latest case quizzes and conference reports. Review the slideshow below to see this week's top content:
Click the arrows above to view top radiology content from the past week.
ACR Challenges FDA Guidance on Thyroid Monitoring for Young Children Exposed to Iodinated Contrast Media
In a newly published statement, the American College of Radiology cited questionable literature support for the recent FDA guidance and noted potential consequences ranging from diagnosis delays due to parental anxiety about contrast-enhanced computed tomography (CECT) and increased health-care costs. READ MORE
Emerging Radiology Research May Shed New Light on Blocked Fallopian Tubes
Selective salpingography may provide enhanced assessment of fallopian tubes and fallopian tube recanalization could be a viable alternative to facilitate natural conception, according to new research from the Department of Radiology at the University of British Columbia. READ MORE
CT Radiomics Nomogram Shows Promise in Predicting Early Recurrence of Hepatocellular Carcinoma After Liver Transplant
A new study showed that the computed tomography radiomics nomogram model had 21.7 percent higher accuracy, 16.7 percent higher sensitivity and 23.5 higher specificity in comparison to a clinical model in a validation cohort. READ MORE
Detecting Intracranial Hemorrhages: Can an Emerging AI Advance Have an Impact?
A 3D whole brain convolutional neural network could provide enhanced sensitivity and specificity for diagnosing intracranial hemorrhages on computed tomography, according to new research presented at the Society for Imaging Informatics in Medicine (SIIM) conference in Kissimmee, Fla. READ MORE
Can AI Help Differentiate Between Tumor Recurrence and Pseudoprogression on MRI in Patients with Glioblastoma?
The deep learning model may offer enhanced sensitivity and specificity on MRI for patients with glioblastoma, according to preliminary research presented at the Society for Imaging Informatics in Medicine (SIIM) conference. READ MORE
