The December 2020 Diagnostic Imaging eBook.
This year has been unlike any other for radiology. By March, the industry was deeply embroiled in a global pandemic, re-allocating personnel and resources to help detect infections and manage patients. Much has been learned.
In this “Lessons from a Pandemic” eBook, industry experts share their knowledge and how they applied that wisdom to make changes in their own institutions. They address challenges with safety, workflow, cybersecurity, and other areas, offering actionable information you can implement.
But, 2020 was not just about the pandemic. Much more happened throughout the industry. In this issue, Diagnostic Imaging, with industry expert insight, examines some of the advancements across CT, ultrasound, mammography and X-ray. Take a look at how these developments will impact providers, as well as patient care.
Deep Learning Model with DCE-MRI May Help Predict Proliferative Hepatocellular Carcinoma
May 20th 2024Incorporating dynamic contrast-enhanced MRI, a deep learning model demonstrated a 20 percent higher AUC in external validation testing than clinical factors alone and over a 17 percent higher AUC than radiological factors alone in predicting proliferative hepatocellular carcinoma (HCC).
Multicenter CT Study Shows Benefits of Emerging Diagnostic Model for Clear Cell Renal Cell Carcinoma
May 15th 2024Combining clinical and CT features, adjunctive use of a classification and regression tree (CART) diagnostic model demonstrated AUCs for detecting clear cell renal cell carcinoma (ccRCC) that were 15 to 22 percent higher than unassisted radiologist assessments.