Catch up on the top radiology content of the past week.

While acknowledging a moderate to high risk of bias in the retrospective studies reviewed for a recent meta-analysis, researchers found the current evidence supports the use of high-intensity magnetic resonance imaging (MRI) surveillance for detection of soft tissue sarcoma recurrence.

From enhanced image quality and workflow efficiencies to an improved patient experience and potential synergies wih enterprise cloud services, artificial intelligence continues to redefine possibilities in radiology.

In a study of over 9,000 children that examined structural magnetic resonance imaging (MRI) data as well as parent and child self-reporting of adversity-related measures, researchers found that greater exposure to adversities for Black children was linked to lower gray matter volume in the amygdala and multiple subregions of the prefrontal cortex in comparison to White children.

In what is reportedly the first Food and Drug Administration (FDA) 510(k) clearance for the use of artificial intelligence (AI) for musculoskeletal ultrasound, the model provides automated measurements of tendons in the knee, ankle, and foot.

In an external validation data set for a deep learning bone-suppressed (DLBS) model, researchers found that adjunctive use of the DLBS model led to a nearly 15 percent increase in sensitivity for detecting pulmonary nodules on chest X-rays in comparison to radiologist assessment.

In a review of 22 studies and data from over 132,000 women with dense breasts and negative mammography exams, researchers found that magnetic resonance imaging (MRI) was superior to digital breast tomosynthesis, handheld ultrasound and automated whole breast ultrasound for the detection of breast cancer.

In a prospective study of over 600 patients, researchers found that magnetic resonance imaging (MRI) had no serious adverse effects upon the detection of tachyarrhythmias with non-MRI conditional implantable cardioverter defibrillators (ICDs).

Researchers showed that adjunctive use of a deep learning algorithm resulted in an eight percent increase in sensitivity and a nearly 10 percent increase in specificity for differentiating between colon carcinoma and acute diverticulitis on computed tomography (CT) scans.

In a new survey, 83 percent of radiology residents agreed that artificial intelligence/machine learning (AI/ML) should be part of their curriculum but approximately 24 percent of residents said there are currently no AI/ML educational offerings in their residency program.

When you’re asked to review an X-ray for a patient who already had follow-up imaging, do you consider the results of follow-up imaging or evaluate the X-ray with fresh eyes?

Catch up on the top radiology content of the past week.

Preliminary research suggests the use of photon-counting detector computed tomography (CT) may facilitate a 25 percent reduction of iodinated contrast media (ICM) in comparison to energy-integrating detector CT for angiographic imaging of the thoracoabdominal aorta.

Employing deep learning capabilities, the DeepVessel FFR reportedly provides enhanced non-invasive evaluation of coronary arteries through semi-automated analysis of coronary computed tomography angiography (CCTA) imaging.

For premenopausal women with regular menstrual cycles, researchers have found a significant association between the timing of menstrual cycles and the degree of background parenchymal enhancement (BPE) on contrast-enhanced mammography (CEM).

Catch up on the top AI-related news and research of the past month.

In a multicenter study involving nearly 300 patients, researchers found that abbreviated magnetic resonance imaging (MRI) had a sensitivity rate of 88.2 percent and a specificity rate of 89.1 percent for detecting early-stage hepatocellular carcinoma (HCC).

In a recent video interview, Amar Kishan, M.D., discussed a new study that demonstrated significant side effect reduction when utilizing magnetic resonance imaging (MRI) guidance instead of computed tomography (CT) guidance for stereotactic body radiation therapy (SBRT) to treat localized prostate cancer.

Review the case study and test your knowledge to make the correct diagnosis.

When looking for a doc for your own health care needs, do you opt for a colleague, the closest in-network option or someone on the same page with your perspective on health care?