Diagnostic Imaging

The U.S. Preventative Services Task Force (USPSTF) has released a statement recommending against screening for pancreatic cancer in asymptomatic adults.

A new study found that chronic kidney disease (CKD) patients who received IV contrast-enhanced imaging faced no more risk of developing contrast-induced nephropathy than those who did not receive contrast material.

MRI and CT scans of infants exposed to the Zika virus in the womb revealed a range of brain abnormalities, reported authors of a recent study published in JAMA Network Open. The findings place neuroimaging as an important step in evaluating such patients.

"Smoking cessation is very important if these patients want to help themselves and avoid further procedures," authors of the study published in Radiology wrote. "We should urge current smokers to stop smoking before treatment."

The method—dual-energy CT virtual non-calcium (VNCa) imaging—can remove calcium from CT data and produce a quantitative assessment of injuries in the largest and most complex joint in the human body.

"It's important to quantify exposure to ionizing radiation because it can cause cancer and birth defects and should be kept to a minimum, especially during pregnancy," said co-lead author Marilyn L. Kwan, PhD.

A deep learning model that simulates a clinician’s diagnostic process can accurately diagnose Alzheimer’s disease from cognitively normal patients, according to a study published July 16 in Neurocomputing.

“The CXR-risk score took as input the radiograph only. This was intended to prove a point—that a CNN can extract prognostic information embedded in the image, without any other demographic or clinical information,” wrote authors of a new study published in JAMA Network Open.

The updated LR-5 criteria for Liver Imaging Reporting and Data System (LI-RADS) version 2018 can improve sensitivity for diagnosing small hepatocellular carcinomas (HCC) compared to LI-RADS 2017.

Breast cancer screening using digital breast tomosynthesis has risen rapidly in the United States, but that isn’t the case in all regions or across all institutions, according to a new study published in Current Problems in Diagnostic Radiology.

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.