Radiologists use diagnostic imaging to non-invasively look inside the body to help determine the causes of an injury or an illness, and confirm a diagnosis. Providers use many imaging modalities to do so, including CT, MRI, X-ray, Ultrasound, PET and more.
Chest CT is routinely performed for things like lung cancer screening, coronary calcium assessment and pulmonary nodule surveillance, but the modality also can be used to extract additional information.
By highlighting subtle abnormalities that could otherwise be overlooked, an algorithm could potentially serve as an additional safety net when radiographic findings are indeterminate.
A deep neural network platform can help radiologists detect abdominal aortic aneurysms (AAAs) on CT images, and is especially helpful in clinically challenging cases, according to research presented at the SIIM annual conference.
A higher level of background parenchymal enhancement (BPE) measured during breast MRI is associated with the presence of breast cancer in women at high risk of breast cancer but not in women with average risk, according to a new study.
Enhanced dual-source dual-energy CT (DECT) can help differentiate invasive adenocarcinomas from preinvasive lesions which appear as pure ground-glass nodules (pGGNs), according to a small study published in the American Journal of Roentgenology.
“The results of this research are extremely exciting, as it will significantly impact clinical care,” reported study author Mishal Mendiratta-Lala, MD, with the division of abdominal radiology at Michigan Medicine in Ann Arbor.
The researchers analyzed the frequency and cancer yield of ACR Breast Imaging Reporting and Data System (BI-RADS) 3 lesions in patients who received baseline and non-baseline screening MRIs.
Some children in isolated villages have never seen an ultrasound machine, nevermind a portable one. A recent New York Times article provided an in-depth look at how impactful low-cost scanning technology can be to regions that don’t have access to basic imaging modalities.
High-strength 7T MRI can better track cortical brain lesions and play a crucial role in evaluating the progression of multiple sclerosis (MS), but some experts aren't sure it is clinically feasible.
In women 65 and older, digital breast tomosynthesis (DBT) achieved a higher specificity for detecting breast cancer and identified the disease at an earlier stage compared to traditional 2D mammography.
