Technology | Mammography | March 27, 2018

Siemens Healthineers Announces FDA Clearance of Mammomat Revelation Mammography System

3-D HD Breast Biopsy enables more targeted, accurate biopsies; automated breast density measurement allows immediate risk stratification at the point of care

Siemens Healthineers Announces FDA Clearance of Mammomat Revelation Mammography System

March 27, 2018 — The U.S. Food and Drug Administration (FDA) has cleared Siemens Healthineers’ Mammomat Revelation premium mammography platform with the new InSpect integrated specimen imaging tool and the new HD Breast Biopsy solution for one-click targeting of suspicious areas. These and other features are designed to expand precision medicine and improve the patient experience.

Mammomat Revelation’s InSpect integrated specimen imaging tool permits imaging and real-time review of biopsy samples at the workstation. This tool improves biopsy workflow, shortens compression time and reduces patient discomfort.

HD Breast Tomosynthesis offers the widest image acquisition angle available at 50 degrees, according to Siemens. The wide angle delivers what the company calls the industry’s highest depth resolution for better separation of overlapping breast tissue, providing high-quality 3-D images for improved diagnostic confidence and earlier lesion detection. This technology is the basis for Mammomat Revelation’s HD Breast Biopsy solution, which enables one-click targeting of suspicious areas with a +/- 1mm accuracy.

Nearly half of all women in the United States who receive mammograms have dense breasts,¹ complicating efforts to identify breast lesions. Typically, the radiologist assesses fibroglandular breast density visually after the patient has left the facility. Mammomat Revelation is the first platform to offer automated breast density measurement during the mammogram for immediate, personalized risk stratification and more personalized care.

Mammomat Revelation’s Personalized Soft Compression adjusts the level of breast compression automatically to suit each patient’s anatomy.  Coupled with ergonomic SoftComp Paddles, Personalized Soft Compression enables improved breast positioning, more consistent image quality, and less discomfort and anxiety.

And for inconclusive cases, the system offers titanium contrast-enhanced mammography as a cost-effective alternative to magnetic resonance imaging (MRI), reducing scheduling conflicts and reassuring the patient.

For more information: www.usa.healthcare.siemens.com

References

1. National Cancer Institute, https://www.cancer.gov/types/breast/breast-changes/dense-breasts

Related Content

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr

Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr
Commercial efforts to develop...
Videos | Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, ...
Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care
News | Artificial Intelligence | April 18, 2019
Atrium Health patients will now be able to use Amazon’s electronic voice system Alexa to not only locate the nearest...
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer

Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org

Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr
When planning a screening program to detect the early signs of breast cancer, age is a major consideration.
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
compressed breast during mammography.
360 Photos | 360 View Photos | April 16, 2019
A 360 view of a simulated breast compression for a...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
This image depicts ABUS images with QVCAD results

This image depicts ABUS images with QVCAD results.

Feature | Breast Imaging | April 12, 2019
Imaging Technology News spoke with Bob Foley, vice president of sales and marketing of QView Medical, Inc.,