News | Breast Density | December 30, 2020

Technology from Volpara Health has now been included in more than 300 publications

Volpara Health announced two new research studies using AI-powered software to score breast density objectively and consistently to evaluate its impact in mammography and breast cancer risk assessment.

December 30, 2020 — Volpara Health announced two new research studies using AI-powered software to score breast density objectively and consistently to evaluate its impact in mammography and breast cancer risk assessment.

Volpara Density software uses a combination of X-ray physics and machine learning to generate an accurate volumetric measure of breast composition and remains the density measurement tool of choice for breast cancer research. With the two studies, which were presented at the virtual 106th Annual Radiological Society of North America (RSNA) meeting, Volpara has reached another research milestone with more than 300 journal articles and conference proceedings, including more than 150 peer-reviewed papers. 

In the study, "A Tyrer-Cuzick Lifetime Risk Study to Determine the Impact of Breast Density on Risk Stratification," lead investigator Stamatia V. Destounis, M.D., Elizabeth Wende Breast Care and colleagues evaluated the risk calculations produced by Tyrer-Cuzick version 7 (TC7) and an updated Tyrer-Cuzick version 8 (TC8) model that can now include different breast density inputs. The results showed that TC7 identified 8.3% of women to be at high lifetime risk and TC8, with visual BI-RADS as the density input, identified 6.9% of women as high-risk. When Volpara's volumetric breast density percentage (VBD%) was used, 11.4% of women were determined to be high-risk. The use of VBD% in TC8 identified a greater number of high-risk patients and led to a change in medical management for 6.2% of the study population compared to TC7.

In another presentation, "Does Contrast Agent Change Breast Density Measurement in Low-Energy Contrast Enhanced Spectral Mammography?" Gisella Gennaro, Ph.D. and colleagues compared VBD% on both low-energy contrast-enhanced spectral mammography and conventional digital mammography images.

Results revealed no significant difference in VBD%, indicating that the presence of contrast agent doesn't impact Volpara's AI-powered breast density assessment in low-energy contrast-enhanced spectral mammography compared to conventional mammography. 

"Volpara partners with radiologists to give women the most accurate information possible regarding their breast health. We believe that the best way to achieve this goal is through cutting-edge science and we are proud to collaborate with key researchers and clinicians around the globe to continuously improve women's health," said Ralph Highnam, Ph.D., founder and CEO of Volpara Health Technologies. "These latest studies continue to demonstrate seamless clinical integration of Volpara's AI-powered software to support objective breast density assessment and risk stratification."

Volpara's AI-technology has assessed the breast composition of more than 13 million women across 39 countries and is installed in more than 2,000 leading facilities worldwide, including top cancer centers in the United States.

For more information: www.volparahealth.com


Related Content

News | Radiology Business

July 25, 2024 — Immunis, Inc., a clinical-stage biotech developing groundbreaking secretome therapeutics for age and ...

Time July 25, 2024
arrow
News | Radiology Business

July 25, 2024 — The radiology gender gap is decreasing, but there remains work to be done, according to an editorial ...

Time July 25, 2024
arrow
News | Digital Pathology

July 24, 2024 — Proscia, a developer of artificial intelligence (AI)-enabled digital pathology solutions for precision ...

Time July 24, 2024
arrow
News | RSNA

July 23, 2024 — Professional registration is open for RSNA 2024, the world’s largest radiology forum. This year’s theme ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 23, 2024 — Researchers at the National Institutes of Health (NIH) found that an artificial intelligence (AI) model ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 22, 2024 — Healthcare artificial intelligence (AI) systems provider, Qure.ai, has announced its receipt of a Class ...

Time July 22, 2024
arrow
News | Radiology Business

July 19, 2024 — GE HealthCare announced it has entered into an agreement to acquire Intelligent Ultrasound Group PLC’s ...

Time July 19, 2024
arrow
News | Radiology Education

July 19, 2024 — Core tactics to address the current medical imaging and radiation therapy workforce shortage and build ...

Time July 19, 2024
arrow
News | Computed Tomography (CT)

July 18, 2024 — NeuroLogica Corp, a subsidiary of Samsung Electronics Co. Ltd., announced its latest configuration of ...

Time July 18, 2024
arrow
News | Digital Radiography (DR)

July 18, 2024 — At the Annual Meeting of AHRA (the Association for Medical Imaging Management), Agfa Radiology Solutions ...

Time July 18, 2024
arrow
Subscribe Now