Icobrain.aria is reportedly the first AI software geared toward the detection and monitoring of amyloid-related imaging abnormalities (ARIAs) on brain MRI.

The Signa Magnus MRI device offers a slew rate and gradient amplitude that are reportedly superior to those of 60 or 70 cm bore whole-body MRI systems.

Researchers found that new prostate lesion detection on SPECT/CT at the beginning of a second cycle of 177 Lu-PSMA-617 for mCRPC was associated with an over sevenfold higher mortality risk.

The Spectral CT 7500 RT system reportedly combines 4D conventional computed tomography (CT) with the enhanced quantification and visualization of spectral CT to facilitate improved precision with radiotherapy.

Employing deep learning reconstruction at four excitations for DWI MRI may lead to an average five-minute reduction in exam time for prostate mpMRI, according to a new study.

Employing advanced deep learning convolutional neural networks, ProFound Detection Version 4.0 reportedly offers a 50 percent improvement in detecting cancer in dense breasts in comparison to the previous version of the software.

Trained on over five million spine MRI scans, the RAI software reportedly facilitates rapid pathology detection and enhanced consistency with disc measurement.

What are the keys for ensuring optimal pay during the course of your career?

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.