Two ultralow-dose photon counting CT protocols yielded satisfactory quality for diagnostic assessment in over 95 percent of patients who had post-transplant lung deformities, according to new research.
A machine-learning-based model demonstrated an 87 percent area under the curve and a 90 percent specificity rate for predicting interstitial lung abnormality on CT scans, according to new research.
In a study involving 396 confirmed neuroendocrine tumor liver metastases, researchers found that Gd-EOB-DTPA-enhanced MRI offered 19 percent higher sensitivity than polyenergetic CT.
Adjunctive AI showed no difference in accuracy than unassisted radiologists for intracranial hemorrhage (ICH) detection and had a slightly longer mean report turnaround time for ICH-positive cases, according to newly published prospective research.
For patients who had post-op recurrence after a Whipple procedure for pancreatic ductal adenocarcinoma (PDAC), between 80 to 86 percent of follow-up CT exams revealed new or increased soft tissue.