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


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.

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

Featuring the previously FDA-cleared BioTraceIO Vision and BioTraceIO Precision modalities, the BioTrace software suite combines real-time ultrasound guidance and advanced AI technology to help bolster outcomes with liver tumor ablation therapy.

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

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

For women with dense breasts, the combination of mammography and supplemental breast ultrasound had a 36.4 percent higher sensitivity rate for detecting breast cancer in comparison to the combination of mammography and adjunctive AI, according to a new study.

New survey findings show that over half of the female respondents were unaware of uterine fibroids and less than 20 percent of women diagnosed with the condition received information about less invasive treatment options such as uterine fibroid embolization.

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

Utilizing a threshold of less than 5 mm of ultrasound-measured endometrial thickness, the authors of a new study noted an 11.4 percent false-negative probability for endometrial cancer in Black patients.