Women's Health MRI

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.

For the prediction of axillary lymph node metastasis in patients with breast cancer, an MRI-based, 4D convolutional neural network model demonstrated an AUC of 87 percent and sensitivity of 89 percent, according to new research.

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

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

An MRI-based machine learning model demonstrated a comparable background parenchymal enhancement (BPE) hazard ratio to that of manual BPE assessment for breast cancer, according to a study of over 4,500 women with dense breasts.

In a new literature review, researchers noted key findings on the use of breast MRI in facilitating breast cancer detection for women with dense breasts and others at high-risk for breast cancer.

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

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

Offering improved image clarity capable of capturing details of subtle pathology, the Magnetom Terra.X 7T MRI system reportedly features the first eight-channel parallel transmit architecture for clinical use.

SyMRI 3D reportedly combines precise estimates of regional brain volume with improved resolution bolstering accuracy with lesion analysis.

The multimodality system nCommand Lite reportedly facilitates real-time remote imaging guidance on scanning parameters and procedure assessments to licensed technologists for a variety of imaging modalities including CT and MRI.

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

In a study of patients who had lumbar spine MRI exams at 0.55T, 1.5T and 3T, researchers found that 0.55T MRI provided acceptable diagnostic quality across all sequences for varying pathologies including degenerative joint disease, compression fractures and osseous metastatic disease.

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

Emphasizing optimal balancing of patient safety and image quality, these authors discuss the impact of the specific absorption rate and B1+rms parameters upon radiofrequency exposure with MRI exams.

Emerging research with low-field MRI shows that persistently moderate to severe opacities were a common finding in patients up to two years after having acute COVID-19 pneumonia.

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

In a study of nearly 2,500 women with BRCA1 or BRCA2 sequence variations, researchers found that MRI surveillance led to a 3.2 percent breast cancer mortality risk at 20 years in contrast to a 14.9 percent mortality risk for those who did not have MRI surveillance.

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

A new meta-analysis noted pooled sensitivity and specificity rates of 83 percent and 91 percent, respectively, for the use of non-contrast abbreviated MRI in surveillance of hepatocellular carcinoma (HCC).

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

For patients with suspected acute stroke, researchers noted higher image quality for deep learning-accelerated MRI, which can be completed over 11 minutes sooner than similar sequences for conventional MRI.

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

For people with COVID-19 related brain fog, emerging dynamic contrast-enhanced MRI (DCE-MRI) research findings revealed blood-brain barrier disruption in multiple brain regions, including temporal lobes and the frontal cortex, up to a year after active infection.

Offering rapid automated segmentation of brain structures, the ClearPoint 2.2 software reportedly enhances visualization for a variety of targeted, MRI-guided procedures.

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

For women with dense breasts, only 25 percent of breast radiologists are confident in the use of mammography for diagnosing invasive lobular carcinoma, according to newly published survey results from the Society of Breast Imaging.

The adjunctive use of AI software led to 16 percent and 10 percent increases in sensitivity rates for the detection of ARIA-E and ARIA-H, respectively, in patients with Alzheimer’s disease, according to newly published research.