Preoperative use of contrast-enhanced cone-beam breast CT has over a 96 percent sensitivity for predicting nipple-areolar complex involvement in cases involving early-stage breast cancer, according to a new study.
Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
Researchers also noted a greater than 30 percent increase in treatment management changes resulting from the use of CT-based adjunctive AI to detect lung metastases in colorectal cancer patients.
Emerging research suggests the use of computed tomography colonography (CTC) in colorectal cancer screening may provide significantly higher preventive benefit at lower costs in comparison to multitarget stool DNA testing.
In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.