Women's Health Ultrasound

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

A nomogram that combines contrast-enhanced lymphatic ultrasound and grayscale ultrasound findings had an 88 percent AUC for prediction of three or more metastatic axillary lymph nodes in women with early breast cancer.

Catch up on the top AI-related news and research in radiology over the past month.

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

A multiparametric ultrasound model emphasizing attenuation coefficient assessment demonstrated a 77 percent AUC for detecting metabolic dysfunction-associated steatohepatitis (MASH), according to validation testing from a new multicenter study.

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

In a comparison of image-to-text large language models (LLMs), ChatGPT 4.0 offered a 95 percent sensitivity rate and an 83 percent AUC that were comparable to that of two senior radiologists and one junior radiologist interacting with LLM to differentiate between malignant and benign thyroid nodules on ultrasound.

While adjunctive use of AI led to significantly higher specificity and accuracy rates in detecting cancer on breast ultrasound exams in comparison to unassisted reading by breast radiologists, researchers noted that 12 of 13 BI-RADS 3 lesions upgraded by AI were ultimately benign, according to research presented at the European Congress of Radiology.

Designed for full-body imaging, the new modality reportedly offers a lightweight portable design, AI-powered tools and enhanced high-resolution images.

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

Catch up on the top AI-related news and research in radiology over the past month.

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

What does the current evidence reveal for four FDA-cleared AI software modalities for breast ultrasound? Leading researchers review the study findings in a recently published literature review.

Recently cleared by the FDA, the iQ3 point-of-care ultrasound system reportedly offers new advances in 3D imaging capabilities.

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

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

Reportedly providing enhanced imaging of structural heart disease, the minimally invasive X11 4t Mini 3D TEE ultrasound transducer facilitates use of the technology in smaller pediatric patients as well as high-risk ICU patients.

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

Catch up on the top AI-related news and research in radiology over the past month.

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

Noting the challenges with angiography in the imaging of lower extremity revascularization, a panel of interventional radiologists, interventional cardiologists and vascular surgeons discussed emerging evidence that supports the use of intravascular ultrasound in facilitating improved outcomes in this high-risk patient population.

The BioTraceIO software reportedly facilitates visualization of liver tumor ablation procedures based on real-time ultrasound imaging and provides superior post-op estimates of ablation zone volume in comparison to computed tomography.

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

In a recent proof-of-concept trial assessing the combination of aducanumab infusion with MRI-guided focused ultrasound to open the blood-brain barrier, researchers found significant reductions in amyloid-beta load at 26 weeks in patients with Alzheimer’s disease.

The EndoSound Vision System reportedly enables providers to convert existing upper gastrointestinal endoscopes into endoscopic ultrasound modalities.

Catch up on the most viewed content on AI in radiology from 2023.

Catch up on the top AI-related news and research in radiology over the past month.

In a study examining the potential of the large language models ChatGPT-4 and Bard to follow ACR Appropriateness Criteria for breast cancer, lung cancer, ovarian cancer and colorectal cancer screening, researchers noted “impressive accuracy in making radiologic clinical decisions.”

Catch up on the most well-read ultrasound articles from 2023.

Emerging research suggests that stand-alone artificial intelligence (AI) assessment of breast ultrasound exams could eliminate over 45 percent of unnecessary follow-up exams.