News | Breast Density | November 30, 2017

Numerous Studies Highlight Importance of Quantitative Breast Imaging Analysis at RSNA 2017

Volpara Solutions' breast imaging software tools provide quantitative metrics to maintain consistent quality and accuracy in breast screening

Numerous Studies Highlight Importance of Quantitative Breast Imaging Analysis at RSNA 2017

November 29, 2017 — The importance of quantitative analysis in breast imaging was the focus of numerous abstracts accepted for presentation at the 103rd Annual Radiological Society of North America (RSNA) meeting, Nov. 26-Dec. 1 in Chicago. Four abstracts highlighted the use of Volpara Solutions' quantitative analysis tools for breast imaging. The tools provide actionable quantitative metrics for clinicians, including volumetric density, personalized dose, potential high risk, and other factors designed to maintain accuracy and drive consistent quality in breast screening.

Two research groups used Volpara to examine screening performance across breast density categories. In the study, "The Relationship between Quantitative Breast Density, Age and Cancer Detection Rate in a Large UK Breast Screening Population," Louise Wilkinson and colleagues looked at the influence of age and density on the cancer detection rate (CDR) in the UK screening program. Researchers included 70,435 screening mammograms from 63,577 women with 557 breast cancers, for an overall CDR of 0.8 percent. Breast density was assessed and categorized by Volpara Density Grades (VDG). The cohort was divided into nine age groups to compare CDR in the lowest (VDG 1) and highest (VDG 4) density women, stratified by age.  Results demonstrated that in younger women, extreme density (Volpara VDG4) appears to correspond to higher CDR, while the opposite is true for older women. The results suggest that the relationship between cancer detection rate and density may vary with age and thus age should be taken into account when stratifying women into different screening strategies based on density.

Additionally, results from the UK TOMMY trial established that screening sensitivity appears to be significantly increased for women with intermediate density (4.5 to 15.5 percent Volpara density) compared to those with very high or very low density. In the study, "Using Quantitative Analysis to Understand How Performance of Digital Breast Tomosynthesis Varies with Breast Density," the addition of digital breast tomosynthesis (DBT) significantly increased the specificity of 2-D mammography for all breast density subgroups but only significantly increased sensitivity in patients with quantitative breast density in the middle ranges. The results suggest that DBT may not improve cancer detection in women with very low or very high breast density.

In "Radiation Dose from Tomosynthesis and Digital Mammography versus Quantitative Breast Density," VolparaDensity was used to measure personalized radiation dose across VDGs on 4,764 DBT exams and digital mammograms, obtained by the same acquisition system in the same breast compression. Results showed that the mean glandular dose (MGD) for the four breast density categories were higher with tomosynthesis than mammography. However, the results also show an inverse relationship between VDG and dose in the DBT exams, and that the relative dose increase is higher for fatty breasts and lower for dense breasts.  

Melissa Hill, Ph.D., of Volpara presented results about a new contrast-to-noise ratio (CNR) metric in "A Contrast-to-Noise Ratio for Clinical Mammographic Images." The novel approach for objectively measuring CNR on clinical images (as opposed to phantom) shows near-perfect correlation to EUREF's current method of measuring CNR from phantom images. As the first description of an objective CNR measure that can be made directly from mammographic images, this technique may enable real-time and patient-specific image quality evaluation.  

Volpara Solutions showcased its entire suite of quantitative breast imaging tools, including introducing near real-time positioning feedback, during RSNA.

For more information: www.volparasolutions.com

 

Related Content

Magseed magnetic marker
Technology | Tumor Tracking Systems | July 20, 2018
Endomag, the surgical guidance company, received 510(k) clearance from the U.S.

Image courtesy of Philips Healthcare

News | Clinical Trials | July 19, 2018
The use of computed tomography (CT) scans has increased dramatically over the last two decades. CT scans greatly...
Fujifilm to Host Pediatric Imaging Best Practices Symposium at AHRA 2018
News | Pediatric Imaging | July 18, 2018
Fujifilm Medical Systems U.S.A. Inc. announced that it will offer educational opportunities and exhibit its latest...
CT Decision Instrument Reliably Guides Pediatric Blunt Trauma imaging Decisions

This is a four-site prospective observational cohort. Image courtesy of Kirsty Challen, B.Sc., MBCHB, MRES, Ph.D., Lancashire Teaching Hospitals, United Kingdom.

News | Clinical Decision Support | July 18, 2018
A new study finds The Pediatric NEXUS Head Computed Tomography (CT) Decision Instrument (DI) reliably identifies blunt...
Study Points to Need for Performance Standards for EHR Usability and Safety
News | Electronic Medical Records (EMR) | July 18, 2018
A novel new study provides compelling evidence that the design, development and implementation of electronic health...
Artificial Intelligence Provides Faster, Clearer MRI Scans

A new artificial-intelligence-based approach to image reconstruction, called AUTOMAP, yields higher quality images from less data, reducing radiation doses for CT and PET and shortening scan times for MRI. Shown here are MR images reconstructed from the same data with conventional approaches, at left, and AUTOMAP, at right. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital

News | Artificial Intelligence | July 17, 2018
A research team with funding from the National Institute for Biomedical Imaging and Bioengineering (NIBIB) has...
Study Shows Biomarker Panel Boosts Lung Cancer Risk Assessment for Smokers
News | Lung Cancer | July 16, 2018
A four-protein biomarker blood test improves lung cancer risk assessment over existing guidelines that rely solely upon...
Breast Cancer Follow-up Imaging Varies Widely
News | Breast Imaging | July 13, 2018
July 13, 2018 — Follow-up imaging for women...
Lack of Insurance Coverage Delaying Proton Therapy Clinical Trials
News | Proton Therapy | July 12, 2018
Randomized clinical trials are the gold standard of cancer research and can shed light on whether innovative, new...
Invision Diagnostics Installs VolparaEnterprise Software to Enhance Mammography Image Quality
News | Mammography | July 11, 2018
Invision Diagnostics, a provider of mobile mammography services across North and South Carolina, announced that it is...
Overlay Init