Diagnostic Imaging

In diabetic patients with early-stage chronic kidney disease (CKD), diffusion tensor imaging (DTI) can accurately assess early renal function changes, reported authors of a new Clinical Radiology study.

When imaging brain tumors such as gliomas, machine learning may advance the use of imaging and augment clinical care for patients, according to a review published Oct. 17 in the American Journal of Roentgenology—specifically in tumor segmentation and MRI radiomics.

The color scale used to optimize image interpretation has a measurable diagnostic effect on the interpretation of computed tomography perfusion (CTP) exams and apparent diffusion coefficient (ADC) images, according to an Oct. 15 study published in Clinical Radiology.

Researchers have found diffusion-weighted magnetic resonance imaging (DWI) or gadolinium-enhanced T1-weighted volumetric interpolated breath-hold examination (VIBE) sequences are the most efficient MRI sequences for prostate cancer diagnosis, according to new research published online on Oct. 17 in the American Journal of Roentgenology.

In patients with liver cirrhosis, four-dimensional (4D) flow MRI can help indicate the risk of bleeding in gastroesophageal varices and reduce the need for invasive endoscopy procedures, wrote authors of an Oct. 16 Radiology study.

Radiography was performed in nearly half of children admitted to a U.S. emergency department for bronchiolitis between 2007 and 2015, despite “Choosing Wisely” guidelines published in 2013 advocating against routine imaging exams, according to a research letter published Oct. 16 in the Journal of the American Medical Association.

For adults with a new-onset seizure, what neuroimaging test, if any, should initially be performed to prevent serious complications or emergency intervention? A new analysis published in the American Journal of Roentgenology recommends unenhanced CT with MRI as a supplementary technique for patients whose CT is negative and those in the non-acute setting.

A novel convolutional neural network (CNN) approach could be used to help radiologists improve their classification of osteoarthritis (OA) on knee radiographs, reported authors of a new study published in the Journal of Digital Imaging.

A team of California researchers used a deep convolutional neural network (DCNN) to accurately diagnose traumatic pediatric elbow joint diffusion, according to an Oct. 9 study published in the American Journal of Roentgenology.

Chest CT scans are more diagnostically accurate than chest radiography for postmortem rib fracture detection in cases of physical abuse in children, regardless of a radiologist's experience or fracture location, according to research published in the September issue of The Lancet.

Synthetic mammogram paired with digital breast tomosynthesis (DBT) achieved similar sensitivity and specificity as full-field digital mammography (FFDM) in identifying microcalcifications during breast screening, according to an Oct. 2 study in Radiology.

Liana Apostolova, MD, a researcher at the Indiana University School of Medicine, has won a five-year, $44.7 million research grant from the National Institutes of Health (NIH) to study early-onset Alzheimer's disease with MRI and PET imaging, according to an Oct. 4 report by the Indianapolis Business Journal.