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. 

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Artificial intelligence can help make breast cancer screening mammography more accurate.

Imaging features predict survival in patients with luminal breast cancer

Researchers have developed a prediction model that takes into account both imaging (post-NAC breast MRI) and clinical-pathologic features when forecasting patients' overall survival.

May 12, 2022
An example of a mammogram with some dense breast tissue that was deemed to not have cancer, and molecular breast imaging (MBI) study of the same women showing increased metabolic activity in the dense area, revealing a caner. Image from Mayo Clinic.

Mayo Clinic offers new guidance on supplemental screening of women with dense breasts

There are not yet consensus-based guidelines available for screening women with dense breast tissue, so researchers at Mayo Clinic recently developed a set of recommendations regarding supplemental screening. 

March 11, 2022
Breast MRI

Breast MRI screening cuts cancer mortality rates in half for women with lesser-known gene mutations

Women with ATM, CHEK2 and PALB2 gene mutations would benefit from beginning MRI screenings earlier than previously recommended, experts reported in JAMA Oncology.

February 18, 2022
breast cancer mammography mammogram

Quality improvements reduce biopsy wait times for patients with suspicious breast MRIs

The initiative led to a 30% increase in the number of patients who required fewer visits before receiving a diagnosis, University of Michigan Health System researchers reported.

January 21, 2022

Abbreviated MRI outperforms DBT for detecting secondary breast cancer

“Our study results suggest that AB-MRI could potentially be sufficient for post-treatment surveillance,” experts suggested Thursday in Academic Radiology.

January 13, 2022
A survey conducted by the Ann and Robert H. Lurie Children's Hospital of Chicago found more than 75% of parents are generally receptive to the use of artificial intelligence (AI) tools in the management of children with respiratory illnesses in the emergency department (ED). However, some demographic subgroups, including non-Hispanic black and younger age parents, had greater reservations about the use of these technologies. 

Deep learning rivals fellowship-trained radiologists at segmenting breast cancers on MRI

Researchers trained their platforms on more than 60,000 individual breast scans, significantly more than most architectures.

December 15, 2021
Breast MRI imaging

Machine learning uses MRI to predict lymphovascular invasion in breast cancer patients

These algorithms could fill in where postoperative biopsy sometimes falls short, experts explained in Academic Radiology.

December 13, 2021
Breast MRI

While promising, machine learning still misses 20% of cancers on breast MRIs, analysis shows

AI proved useful for detecting axillary lymph node metastases but isn’t yet ready for clinics, experts said recently.

November 5, 2021
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Around the web

Cardiovascular Business
AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business
AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

Radiology Business
Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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