Women's Health MRI

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

Catch up on the most-well viewed radiology content in March 2025.

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

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

Researchers found that a higher waist-to-hip ratio in midlife was associated with higher mean diffusivity in 26 percent of total white matter tracts in the cingulum as well as the superior and inferior longitudinal fasciculus.

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

The use of ivonescimab was correlated with a median 5.3-month improvement in progression-free survival (PFS) over pembrolizumab in patients with PD-L1 positive non-small cell lung cancer, according to CT and MRI findings from a phase 3 randomized multicenter trial.

While high-resolution ultrasound offered nearly 10 percent higher specificity in the detection of upper extremity peripheral neuropathy, magnetic resonance neurography provided a nearly 23 percent higher sensitivity rate in a recent study.

In a comparative study of staging systems for hepatocellular carcinoma, the Barcelona Clinic Liver Cancer (BCLC) system offered the highest likelihood ratio (LR) and lowest Akaike information criteria (AIC) for predicting overall survival after transarterial chemoembolization (TACE) for hepatocellular carcinoma.

In a comparison of contrast-enhanced T1-weighted (CET1w) MRI (and T2-weighted MRI/FLAIR imaging, researchers found that only three out of 82 cases of glioma progression were solely detected with CET1w MRI.

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

Catch up on the most-well viewed radiology content in February 2025.

The updated software reportedly enables a threefold improvement in MRI scan time and enhanced image sharpness.

Adolescents with post-COVID-19 conditions had 37 percent lower quantified lung perfusion than healthy control participants on phase-resolved functional lung MRI, according to findings from a recent prospective study.

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.

Low tumor sphericity on preoperative MRI is associated with a significantly higher mortality rate in patients with IDH-wildtype glioblastoma, according to a new study.

Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.

The updated AI-enabled software reportedly facilitates enhanced MRI imaging of the brain, abdomen, and pelvis.

The open-source, deep learning MRI segmentation tool reportedly offers over a 10 percent higher Dice score than similar segmentation models for 40 anatomical structures.

Black, Hispanic, and Asian women were over 25 percent less likely than White women to have same-day follow-up diagnostic service after abnormal findings on screening mammography exams, according to a new study involving over one million patients.

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

Enabling up to 80 percent faster MRI scan times, the SubtleHD software is included in the newly launched AI software suite Subtle-Elite.

Preoperative use of the scoring system for gadoxetic acid-enhanced MRI demonstrated an average AUC of 85 percent and average specificity of 89 percent in external validation cohorts for pathologic features of hepatocellular carcinoma.

Anterior tumor location was over 14 times more likely to be associated with axillary metastasis after neoadjuvant treatment for breast cancer, according to new breast MRI and ultrasound research.

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

For women with intermediate risk and a personal history of breast cancer, an emerging AI system offered an 81 percent AUC for breast cancer detection, according to new research.

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

Catch up on the most-well viewed radiology content in January 2025.

For patients with newly diagnosed obstructive coronary artery disease (CAD), a multimodal machine learning model offered an 86 percent AUC for predicting MACE, which was 10 percent higher than CCTA alone and over 35 percent higher than the Framingham Risk Score.