We've been carrying supplements to Diagnostic Imaging for a long time. We view them as a way to bring you added information on selected topics that we cover in less detail within the magazine. This month we have three.
We've been carrying supplements to Diagnostic Imaging for a long time. We view them as a way to bring you added information on selected topics that we cover in less detail within the magazine. This month we have three.
A PACS and Informatics supplement appears in this issue as a "magazine within a magazine." The material in the supplement reflects our continued focus on informatics developments as they pertain to radiologists. A version of this supplement will be sent to hospital and enterprise executives who deal with the informatics systems that connect and merge those enterprises and who need to understand the imaging element of informatics.
The Imaging & Oncology supplement reflects a collaborative effort with one of our sister publications, Oncology News International, which will also distribute this material. We hope to achieve two goals here: informing oncologists about the how and why of oncology imaging, and giving radiologists a stronger sense of how oncology uses imaging information.
The Cardiovascular CT supplement looks at an area we know is drawing increasing attention in the medical imaging community. We've covered cardiovascular imaging and MR cardiovascular imaging in the past. But this supplement, along with a more clinical one that appeared in December, brings the focus to the emerging role of CT, particularly the innovations of radiologists working to bring this technology to daily practice.
Together, the three reflect an important trend in radiology: The reach of medical imaging is expanding, and we need to communicate its use and value to others who work with radiology. Providing information that achieves that goal is part of our mission.
Can AI Enhance PET/MRI Assessment for Extraprostatic Tumor Extension in Patients with PCa?
December 17th 2024The use of an adjunctive machine learning model led to 17 and 21 percent improvements in the AUC and sensitivity rate, respectively, for PET/MRI in diagnosing extraprostatic tumor extension in patients with primary prostate cancer.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.