Women's Health MRI

Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.

In a recent interview, Arjun Sahgal, M.D., discussed current and emerging research examining the potential of MRI-guided adaptive radiotherapy for treating glioblastomas.

In comparison to native 64-mT MRI, the deep learning generative model LowGAN offered enhanced white matter lesion conspicuity and image quality in a study involving patients with multiple sclerosis.

An emerging nomogram model for intra-tumoral heterogeneity quantification with breast MRI demonstrated an average 85 percent sensitivity in external validation testing for predicting pathologic complete response to neoadjuvant chemotherapy for breast cancer.

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

In a new study involving over 120 women, nearly two-thirds of whom had a family history of breast cancer, ultrafast MRI findings revealed a 5 percent increase in malignancy risk for each second increase in the difference between lesion and background parenchymal enhancement (BPE) time to enhancement (TTE).

A systematic review of 147 clinical trials assessing neoadjuvant systemic therapy for breast cancer also revealed that mid-treatment imaging was utilized in 56 percent of the studies.

Emerging research demonstrated that cognitive declines in memory, executive function and processing speed domains were associated with irregular shape of periventricular/confluent white matter hyperintensities.

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Abbreviated MRI demonstrated a 95.3 percent specificity for rectal cancer and provided strong agreement with the full MRI protocol for T staging and detection of extramural venous invasion, according to newly published research.

New multicenter research suggests that radiomic features derived from breast MRI may enhance prognostic capabilities with disease upstaging for ductal carcinoma in situ (DCIS).

LI-RADS category 5 (LR-5) assessment had an 11 percent higher AUC for detecting hepatocellular carcinoma (HCC) in patients with non-cirrhotic chronic hepatitis C (CHC) in comparison to those with cirrhotic CHC.

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

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

Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.

The Kaiser score offers 24 percent higher pooled specificity than the Breast Imaging Reporting and Data System (BI-RADS) for detecting malignancies on breast MRI, according to a 29-study meta-analysis.

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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.

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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.