Ultrasound

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

Catch up on the most well-read ultrasound content from 2024.

Catch up on the most well-read mammography articles from 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.

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

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

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

The Sonire Therapeutics ultrasound system is currently being studied for the treatment of patients with unresectable pancreatic cancer refractory or intolerant to first-line chemotherapy.

The new ultrasound platform reportedly offers a combination of enhanced imaging and AI-enabled tools to facilitate improved workflow efficiency.

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

In a multicenter study of over 370 women who had surgery for ovarian cystic lesions without acute symptoms, researchers found that 42 percent of the resected lesions were deemed to have an O-RADS ultrasound risk score of 2, which has less than a one percent chance of malignancy.

With the capability of identifying possible cases of aortic value stenosis (AVS) from existing electrocardiograms (ECGs), the AI-powered screening software from AccurKardia may facilitate earlier diagnosis of AVS, which is fatally missed in 50 percent of patient who have this condition.

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

Intestinal ultrasound demonstrated an 88.2 percent agreement with computed tomography enterography in characterizing creeping fat in patients with Crohn’s disease, according to new research.

The Piur tUS Infinity system reportedly reduces operator dependency with ultrasound through upgrading of two-dimensional ultrasound devices and access to 3D multiplanar image reconstructions of thyroid conditions.

Providing automated TI-RADS classifications and worksheets, the new AI-enabled software may facilitate improved efficiency with thyroid ultrasound exams.

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

While noting the strength of MRI for complete staging of disease and ultrasound’s ability to provide local disease characterization, the authors of a new literature review suggest the two modalities offer comparable results for diagnosing pelvic endometriosis.

Developed with breast ultrasound data from nearly 1,200 women, a model with mixed radiomic and autoencoder features had a 90 percent AUC for diagnosing breast cancer, according to new research.

Facilitating natural contrast delivery through an intrauterine catheter, FemChec can be utilized for ultrasound assessment of fallopian tubes and may provide diagnostic confirmation for an emerging non-surgical option for permanent birth control.

Geared toward ambulatory use, the HeartKey Rhythm suite reportedly offers enhanced signal clarity and rhythm detection algorithms.

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

Combining four CAD modules for valvular pathologies with a variety of automated measurements, the AI-enabled AISAP Cardio ultrasound system reportedly facilitates up to a 90 percent accuracy rate in detecting common cardiac conditions.

Adding two key findings from contrast-enhanced ultrasound to a predictive model of mammography, conventional ultrasound and clinicopathological findings led to a 86.1 percent AUROC for predicting the upgrading of ductal carcinoma in situ to invasive breast cancer, according to new research.

Offering a variety of AI features for streamlined workflow and enhanced visualization, the Acuson Origin ultrasound system also features the newly FDA-cleared AcuNav Lumos 4D ICE (intracardiac echocardiography) catheter.

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

External validation testing revealed a deep learning combination of breast MRI, ultrasound and clinical factors had a 10 percent higher AUC for predicting axillary lymph node metastasis than sole use of MRI- or ultrasound-based deep learning models in patients with breast cancer.