Womens Imaging

Women’s imaging encompasses many radiology procedures related to women and the diseases that are most prevalent to women such as breast cancer or gynecological issues. Mammogram, breast ultrasound, breast MRI and breast biopsy are the most commonly used procedures.

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. 

Steve MacMillan Hologic

Hologic to acquire rival breast care company for $310M—plus 2 more radiology vendor M&A deals

In other news, West Physics Consulting is acquiring part of Tricord Inc., while radiology appointment scheduling firm CCD Health was recently sold. 

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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.

Imaging platform that illuminates residual breast cancer in real-time gets 'historic' FDA approval

LumiSystem enables surgeons to intraoperatively illuminate residual cancerous tissue in the breast cavity during lumpectomy surgery.

Should women pause breastfeeding after contrast injections? Survey reveals vastly different opinions

The recommendations differ between professional medical organizations and contrast manufacturers as well.

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Bayer, Hologic unite to improve availability of contrast-enhanced mammography

The two companies have partnered on a new FDA-cleared CT injection system for the early detection of breast cancer.

breast cancer screening mammography

Hologic, university settle lawsuit alleging radiology vendor infringed on mammography patent

The case dates to March 2020, when the University of South Florida Foundation filed suit against the Marlborough, Massachusetts-based company, which later countersued. 

Semiautonomous AI shows potential to reduce false positives, unnecessary procedures and medical expenses

Scientists developed the deep learning algorithm using a set of over 123,000 digital mammograms (including 6,100-plus cancer cases).