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.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.