Breast MRI

Magnetic resonance imaging of the breast (breast MRI), commonly used for dense breasts, is a highly accurate imaging modality for detecting early breast cancer and other abnormalities without using excess radiation. It’s often used alongside digital mammograms and digital breast tomosynthesis to offer detailed visualization of breast lesion margins.

New low-field scanner detects cancer spread better than traditional breast MRI
Researchers involved in its development are hopeful that the scanner could eventually lead to improved outcomes in cancer patients who require surgery to remove malignant tissue.
MRI technique makes breast cancer 'glow' on imaging
The technique highlights differences in how water molecules move through cancerous tissue in comparison to healthy tissue.
Deep learning reconstruction cuts breast MRI scan times in half
The use of DLR also provides greater flexibility with protocols in comparison to conventional single-shot echo-planar imaging.
AI effectively flags mammograms of women who would benefit from supplemental MRI
Experts involved in the algorithm's development believe its time-saving potential could help improve both radiologist workflows and patient outcomes.
AI model spots up to 30% of breast cancers missed on MRI
Re-evaluation by the second look algorithm could result in a cancer diagnosis up to one year earlier, especially for high risk disease.

AI tool's supplemental MRI recs help detect 4 times more breast cancers than density measures

What’s more, many of the cancers detected were invasive or multifocal, making their detection more timely.

Applying Node-RADS to breast MRI exams improves staging

The scoring system has shown great utility in predicting lymph node invasion in various cancers, but until recently, its use in patients with breast cancer had not been thoroughly explored.

New study results 'strongly' back supplemental MRI for women with dense breasts

This latest research further confirms that breast MRI not only detects tumors that mammography cannot, but it also spots invasive cases that pose greater risks to patients.

breast cancer mammography screening mammogram scheduling

USPSTF stops short of recommending supplemental imaging for women with dense breast tissue

Experts, medical organizations and advocates alike are coming forward saying that the new guidelines “do not go far enough,” particularly when it comes to addressing the screening needs of certain patients.

Edema scores can help predict the aggressiveness of breast cancer

Applying an edema classification system to preoperative MRI exams provides insight into whether patients' breast cancer will spread.

breast radiologist breast cancer mammography

Ultrasound combined with MRI is better able to identify cancerous lesions in breast tissue

Research out of China found that the pairing proved to be more accurate in identifying cancer in nonmass-like lesions.

An RSNA attendee undergoes an MRI brain scan on the expo floor using the Hyperfine Swoop head MRI system. It is self-shields with a low field 0.064 T. It uses a standard wall power outlet and can be wheeled through a standard 34-inch wide door frame. It weighs 1,400 pounds. Imaging sequences include T1, T2, FLAIR, and DWI (with ADC map) and its operational controls are all directed on an iPad interface. #RSNA #RSNA22

FDA clears new artificial intelligence capabilities for portable MRI scanner

This is the eighth clearance in the past three years for Hyperfine's Swoop system, company officials said Monday.

How MRI “fingerprinting” could help personalize breast cancer treatment

Researchers from Case Western Reserve University are commissioning a study to determine if a novel MRI technique can predict the effectiveness of chemotherapy in treating breast cancer.

Breast MRI

New low-field scanner detects cancer spread better than traditional breast MRI

MRI technique makes breast cancer 'glow' on imaging

Deep learning reconstruction cuts breast MRI scan times in half

AI effectively flags mammograms of women who would benefit from supplemental MRI

AI model spots up to 30% of breast cancers missed on MRI