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 | Radiation Therapy

October 2, 2023 — A type of head and neck cancer predominantly diagnosed in people who reside in low- and middle-income ...

Time October 02, 2023
arrow
News | Radiation Oncology

October 2, 2023 — Two liquid biopsy tests that look for the presence of human papillomavirus (HPV) in the blood ...

Time October 02, 2023
arrow
News | Women's Health

October 1, 2023 — In a first-of-its-kind study, people with breast cancer who underwent implant-based breast ...

Time October 01, 2023
arrow
News | Women's Health

October 1, 2023 — People who engage in sexual activity or vaginal dilation after chemoradiation treatment for cervical ...

Time October 01, 2023
arrow
News | Stereotactic Body Radiation Therapy (SBRT)

October 1, 2023 — Older adults diagnosed with kidney tumors that are not suitable for surgery may benefit from targeted ...

Time October 01, 2023
arrow
News | Women's Health

September 29, 2023 — Hologic, Inc., a global leader in women’s health, announced a series of activities promoting the ...

Time September 29, 2023
arrow
News | Prostate Cancer

September 29, 2023 — People with intermediate risk, localized prostate cancer can be treated as effectively using fewer ...

Time September 29, 2023
arrow
News | Computed Tomography (CT)

September 29, 2023 —Nano-X Imaging, an innovative medical imaging technology company, today announced that HealthCCSng ...

Time September 29, 2023
arrow
News | Breast Imaging

September 27, 2023 — Researchers at Weill Cornell Medicine have discovered that radiation therapy combined with two ...

Time September 27, 2023
arrow
News | Mammography

September 26, 2023 — Artificial intelligence(AI) and machine learning tools have received a lot of attention recently ...

Time September 26, 2023
arrow
Subscribe Now