Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
The Society of Breast Imaging and the American College of Radiology held their 2021 Virtual Annual Meeting over the weekend. There were plenty of sessions, touching on using risk assessment in practice, reimbursement, mergers and acquisition, as well as important news on breast imaging research and utilization. Look for our continuing coverage of the conference throughout the week.
For more SBI/ACR 2021 Virtual Annual Meeting coverage, click here.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
As conversations around lung cancer screening and the need to increase its utilization have swirled recently, so have discussions about ways to encourage more people to come in and get scanned. This week, Editorial Board member Mina Makary, M.D., from The Ohio State Wexner Medical Center takes a look at some approaches institutions have used to positively impact their lung cancer screening rates and what their outcomes were. Look for his column in the coming days.
For more columns by Mina Makary, M.D., click here.
The struggle for effective communication between radiologist and patient has existed for decades. With little face-to-face contact between parties, it has historically been challenging for providers to have an active part in patient care outside reading their images. Recent years, however, have seen a push toward better communication between the two. In an article later this week, Diagnostic Imaging will explore the evidence-based strategies laid out for direct communication between radiologist and patient in an article published in Academic Radiology.
For additional coverage of radiologist and patient communication, click here.
FDA Clears AI-Powered Qualitative Perfusion Mapping for Cone-Beam CT
May 6th 2024Reportedly validated in more than 10 clinical trials, the AngioFlow perfusion imaging software enables timely identification of brain regions with cerebral blood flow reduction and those with significant hypoperfusion.
Can a CT-Based Radiomics Model Bolster Detection of Malignant Thyroid Nodules?
May 3rd 2024A computed tomography (CT)-based radiomics model that includes 28 radiomic features showed significantly higher accuracy, sensitivity, and specificity than conventional CT in differentiating benign and malignant thyroid nodules, according to newly published research.