A new tool from VuCOMP Inc provides automated assessment of breast density from a digital mammogram. M-Vu Breast Density classifies breast tissue density according to 1 of 4 categories set forth by the American College of Radiology as part of its Breast Imaging Reporting and Data System (BI-RADS) standard.

 Breast density is associated with higher cancer risk and may make tumors more difficult to spot during a mammogram. Thirteen states have passed legislation requiring physicians to notify their patients if they fall into 1 of the 2 higher tiers in the BI-RADS system. M-Vu Breast Density uses computer vision algorithms to evaluate the appearance of structures and textures in the breast to differentiate between fatty and dense regions, automatically assigning the patient to the appropriate category.

“We believe that M-Vu Breast Density will become an important new technology for greater objectivity and consistency in breast density assessment,“ said Jeff Wehnes, president and CEO of VuCOMP. “In contrast to the volumetric approach, we designed M-Vu Breast Density to analyze the appearance of fibroglandular tissue rather than simply the total amount of such tissue, in order to better help doctors assess the risk that a cancer may be hidden in a mammogram.”

The tool can be combined with VuCOMP’s computer-aided detection system, M-Vu CAD, for a comprehensive approach to mammography analysis. For more information, visit VuCOMP.