Medical imaging scans that create detailed images of the body’s internal structures are widely used in medicine. Doctors need them to detect and manage certain types of cancer, assess the extent of ...
A new study shows that combining baseline dual-layer spectral detector CT measurements with clinical factors such as B symptoms and Ki67 can predict which lymphoma patients will fail first-line ...
In a study creating models that mimic lung lesions based on patient chest CT scans, the CT values and some shapes of the ...
CT scans identified cancer in 13% of patients with non-specific symptoms, despite a fivefold increase in referrals from GPs from 2012 to 2019. Around 1 in 7 patients were diagnosed with cancer. This ...
About 40% of cancers among Americans can be attributed to potentially modifiable factors such as smoking, drinking, obesity, and physical inactivity. If a widely reported study from earlier this year ...
When analyzed by a new artificial intelligence model developed at Penn Medicine, CT scans reveal much about a patient's health beyond the specific condition they were originally ordered for, according ...
A CT-based radiomics nomogram combining psoas muscle features with clinical risk factors predicted moderate-to-severe ...
A new UCSF study estimates that CT scans performed in a single year could lead to more than 100,000 future cancer cases, reflecting a sharp rise in their use and higher radiation doses. As CT scans ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results