In a prospective study of over 55,000 women who had screening mammography, researchers found that double-reading by a radiologist and artificial intelligence (AI) was non-inferior to double-reading by two radiologists in detecting breast cancer.

While there may be awkwardness and a degree of embarrassment in noting obvious findings to referring clinicians in radiology, consistent communication of those findings is essential.

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

The Microvascular Imaging Super Resolution Contrast-Enhanced Ultrasound application reportedly leverages micro-bubble contrast media to provide enhanced spatial resolution for imaging of malignant lesions.

The TE Air is reportedly the first handheld ultrasound device to offer dual connectivity to mobile devices or touch-based ultrasound systems.

In a study of over 23,000 men who had PSA testing, researchers found that the adoption of pre-biopsy MRI resulted in a 21 percent decrease in negative biopsies and a 37 percent increase in the proportion of diagnosed Gleason score 7 to 10 prostate cancers.

The PSMA PET agent 64Cu SAR-bisPSMA detected a higher number of prostate cancer lesions and had a significantly higher SUVmax and SUVmean than 68Ga PSMA-11 PET/CT, according to initial data from a prospective multisite study presented at the recent Society of Nuclear Medicine and Molecular Imaging (SNMMI) conference.

The presence of high-grade hypoattenuation thickening on follow-up computed tomography (CT) after left atrial appendage occlusion (LAAO) procedures for patients with atrial fibrillation was associated with a 4.6-fold risk for stroke, according to newly published research.

Through the use of artificial intelligence (AI) and imaging modalities such as ultrasound, CT, and MRI, the newly FDA-cleared VisAble.IO software reportedly enhances planning and real-time assessment for liver tumor ablation procedures.

In separate test sets that included challenging mammography cases, researchers found that artificial intelligence (AI) demonstrated similar sensitivity and specificity for detecting breast cancer in comparison to assessments from over 500 clinicians.

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How strong is your own quality assurance (QA) barometer for interpreting CT, MRI, and ultrasound images?

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

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

Wayne G. Brisbane, MD, of the University of California, Los Angeles, discussed the challenges of focal therapy for prostate cancer and how Unfold AI can help improve the accuracy of this treatment, as well as help counsel patients during the treatment decision process.

Catch up on the top five most viewed content at Diagnostic Imaging in August 2023.

Offering a variety of enhanced features for image optimization and improved workflow efficiencies, the Sierra NMUS1 device reportedly includes the first software specifically designed for neuromuscular ultrasound applications.

The study demonstrated that the combined model yielded improved risk assessment for both interval and long-term breast cancers.

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I’ve long since learned that good faith is far more reliable than, say, contracts.