News | Mammography | December 08, 2017

Study of more than 130,000 mammograms shows optimal compression pressure may improve recall rates, false positives and interval cancer rates

Breast Cancer Screening Performance Impacted by Mean Mammographic Compression Pressure

December 8, 2017 — Dutch researchers demonstrated a strong relationship between compression pressure in mammography and breast cancer screening performance. Involving more than 130,000 mammograms from the Dutch Breast Screening Program and Volpara software, the study showed that very high pressure is linked with reduced sensitivity and very low pressure translates to low specificity.

The study, "Influence of breast compression pressure on the performance of population-based mammography screening," was published in the current issue of Breast Cancer Research. In this study, the data are adjusted for volumetric density and breast volume when evaluating the impact of pressure on screening performance. Katherina Holland, Nico Karssemeijer and researchers from Radboud University Medical Centre in Nijmegen, Netherlands, measured mean compression pressure for 132,776 digital mammograms. Volumetric breast density and pressure was measured using Volpara software. The data was subdivided into five quintiles of mean pressure and the number of screen-detected cancers, interval cancers, false positives and true negatives were available for each group.

The results bolster a growing body of research that suggest that mean compression pressure is related to screening performance, with compression pressures in lower ranges leading to a higher recall rate and a higher false positives fraction, and compression pressures in the higher ranges reducing detectability of breast cancer. These findings are consistent with results from the Norwegian Breast Screening Program recently published in Breast Cancer Research and Treatment.

"Lack of consistent guidelines for mammographic compression can lead to a wide variation in execution. The study shows that adequate compression pressure is crucial for obtaining high quality exams. Both very high and very low mean compression pressure can adversely affect mammography quality. Therefore, it is reasonable to suggest that standardizing to an intermediate compression pressure may lead to better screening outcomes and a better patient experience," said Karssemeijer.

For more information: www.sigmascreening.com


Related Content

News | FDA

April 18, 2024 — Lumicell, Inc., a privately held company focused on developing innovative fluorescence-guided imaging ...

Time April 18, 2024
arrow
News | Magnetic Resonance Imaging (MRI)

April 17, 2024 — Hyperfine, Inc., a groundbreaking health technology company that has redefined brain imaging with the ...

Time April 17, 2024
arrow
News | Mammography

April 16, 2024 — The Radiological Society of North America (RSNA) and GE HealthCare announced their collaboration to ...

Time April 16, 2024
arrow
News | Clinical Trials

April 16, 2024 — QT Imaging Holdings, Inc., a medical device company engaged in research, development, and ...

Time April 16, 2024
arrow
Videos | Breast Imaging

Don't miss ITN's latest "One on One" video interview with AAWR Past President and American College of Radiology (ACR) ...

Time April 15, 2024
arrow
News | Mammography

April 12, 2024 — Bayer and Hologic, Inc. announced a first-of-its-kind collaboration to deliver a coordinated solution ...

Time April 12, 2024
arrow
News | Mammography

April 12, 2024 — GE HealthCare, a leader in breast health technology and diagnostics, will feature its latest breast ...

Time April 12, 2024
arrow
News | Radiation Dose Management

April 11, 2024 — Prelude Corporation (PreludeDx), a leader in precision diagnostics for early-stage breast cancer ...

Time April 11, 2024
arrow
News | Mammography

April 11, 2024 — Volpara Health Technologies Ltd., a global leader in software for the early detection and prevention of ...

Time April 11, 2024
arrow
News | Society of Breast Imaging (SBI)

April 11, 2024 — iCAD, Inc., a global leader in clinically proven AI-powered cancer detection solutions, announced today ...

Time April 11, 2024
arrow
Subscribe Now