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

In addition to a lower rate of preoperative breast MRI use, emerging research found that Black women with breast cancer who didn’t have a preoperative MRI had a higher positive surgical margin rate than White women with no preoperative MRI.

Facilitating optimal use of contrast, the Medrad Centargo CT Injection System reportedly combines user-friendly features with workflow efficiency for high-volume CT departments.

An artificial intelligence (AI) model demonstrated a 72 percent AUC for predicting breast cancer one year before a subsequent MRI.

In newly published guidelines, researchers discuss the utility of CT, MRI and PET/CT in the diagnosis, staging, treatment monitoring and follow-up imaging for peritoneal metastases in patients with ovarian or colorectal cancer.

Non-contrast computed tomography offered 82 percent sensitivity and 94 percent specificity for the diagnosis of moderate hepatic steatosis, according to a 42-study meta-analysis.

In recent interviews, Eric Rohren, M.D., and Krishna Nallamshetty, M.D., discuss the potential of abdominal aortic aneurysms (AAAs) to progress into life-threatening consequences and an emerging AI-powered tool that may bolster adherence to best practice recommendations in radiology reporting of incidental AAA findings on CT and MRI.

Self-imposed fears of embarrassment may lead to an inadvertent defensive stance that prevents us from learning.

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

In a recent interview, Stamatia Destounis, M.D., discussed the impact of national breast density notification for mammography reports and key considerations with staffing and ongoing education for patients, staff and referring providers on the merits of supplemental breast imaging.

For patients with rectal cancer, an emerging nomogram that combines deep learning and clinical factors had greater than 16 percent and 23 percent increases in accuracy and specificity, respectively, for pre-op prediction of tumor deposits in comparison to clinical factors alone.

For clinically actionable pneumothorax, an artificial intelligence algorithm demonstrated a 93 percent AUC and a 96 percent specificity rate in a study involving chest X-rays from over 27,000 adults.

Catch up on the most-well viewed prostate imaging content in October 2024.

Emerging technologies included with the 10th version of the 1.5T MRI platform include Synergy DLR Clear and Synergy Vision that are geared toward mitigating common challenges with artifacts.

For patients who received radiotherapy for localized prostate cancer, total intraprostatic tumor volume derived from AI segmentation had a 10 percent higher AUC for predicting seven-year metastases in comparison to a risk model from the National Comprehensive Cancer Network (NCCN).

The AI-enabled AutoChamber software also garnered the FDA’s breakthrough device designation for opportunistic detection of enlarged heart chambers on non-contrast CT scans.

Al-powered quantitative assessment of coronary CT angiography (CCTA) revealed that non-calcified plaque volume was over 3.5 times higher in patients who had major adverse cardiovascular events, according to multicenter research presented at the Transcatheter Cardiovascular Therapeutics (TCT) conference.

Is a decent clinical history from referrers as rare as the full-sized candy bar in the Halloween bucket?

In a 10-year study involving over 5,400 women with nearly 85 percent having dense breasts, contrast-enhanced mammography (CEM) demonstrated a 95.9 percent sensitivity rate for breast cancer.

Catch up on the most-well viewed radiology content in October 2024.