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.
Among the misgivings raised by the contemporary spotlight on imaging-related radiation exposure is whether head CT of children might affect their brain health down the road. In a spinoff study at Sweden’s Karolinska Institute, it did no such thing.
Posttraumatic epilepsy is a known risk for adults who have suffered mild traumatic brain injury (MTBI). The same risk exists for children and teens, according to a longitudinal study published online May 5 in the Journal of Neurosurgery: Pediatrics.
Subpar quality in trauma CT images acquired in non-trauma care settings hampers accurate radiological interpretation, suggesting that other-than-imaging assessments are best until these patients are sent to trauma centers, according to a study published online April 18 in the Journal of Trauma and Acute Care Surgery.
In a new clinical trial, researchers found that imaging is not the only tool that can be used to diagnose head injury with accuracy. A hand-held electroencephalogram (EEG) device proved a viable method of diagnosing brain bleeding.
Imaging findings of intracranial pressure (ICP) should never be interpreted in a vacuum, as asymptomatic patients with isolated nonspecific imaging findings are unlikely to have an ICP disorder.
Researchers in the United States have developed a computer program that can simultaneously detect cancer and identify where in the body the cancer is located, from a patient's blood sample.
An at-home male fetility smartphone system that measures the count and motility of sperm has been developed by researchers at Brigham and Women's Hospital and Massachusetts General Hospital.
