Three different methods for accurately measuring breast density

Two new studies announced this week have tested three different methods for accurately measuring breast density -- the relative portion of tissue to fat in a woman's breasts and a strong indicator of breast cancer risk.

Both studies were conducted by a group of medical physicists at the University of California, Irvine, led by Sabee Molloi, and they will be presented today and tomorrow at the 52nd Annual Meeting of the American Association of Physicists in Medicine (AAPM) in Philadelphia, PA.

The first study compared two existing techniques for measuring breast density -- cone-beam CT and breast MRI. It found that both techniques gave highly similar estimates of the density of 20 pairs of breasts scanned post-mortem. The second study showed the promise of a third technique called dual-energy mammography for measuring breast density.

"A better measure of breast density should yield a more accurate assessment of risk for developing breast cancer," says medical physicist Justin Ducote, who is presenting the work on dual-energy mammography today in Philadelphia.

Doctors have known since the 1970s that women who have dense breasts are at greater risk for developing breast cancer. Moreover tumors may be hard to detect when imaging dense breast, since they have a greater portion of glandular tissue relative to the amount of fatty tissue, and the glandular tissue can obscure the tumors.

Measuring breast density is made difficult by the fact there is no currently accepted gold-standard method for doing so, says Ducote.

In Ducote's study, the research applied dual energy mammography to 20 pairs of postmortem breasts. The technique makes use of dual energy X-ray imaging, where overlapping tissue signals can be isolated and quantified by exploiting the change in X-ray attenuation at different energies. According to Ducote, this allowed breast density to be measured from digital mammograms.

Ducote's colleague Huy Le will present related research on Thursday. In Le's study, the group analyzed the ability of cone-beam CT and breast MRI to measure breast density in the same 20 pairs of postmortem breasts. They found that breast density measurements using these two techniques were highly correlated.

"If we can get agreement of breast density measured on multiple imaging modalities, our confidence in the accuracy of the value we obtain will increase," says Le.

The next step, the researchers say, is to quantify the exact density of the breasts in the study through chemical composition analysis -- a destructive technique, which is why the research was done using postmortem tissue.

The presentation "Quantification of Breast Density Using Dual Energy Mammography: A Post Mortem Study" by J L Ducote et al. will be at 7:30 a.m. on Wednesday, July 21 in room 201B of the Philadelphia Convention Center.
ABSTRACT: http://www.aapm.org/meetings/amos2/pdf/49-14054-80481-999.pdf

The presentation "Quantification of Breast Density Using MRI and CT in Postmortem Breasts by H Le et al. will be at 10:00 a.m. on Thursday, July 22 in room 201C of the Philadelphia Convention Center.
ABSTRACT: http://www.aapm.org/meetings/amos2/pdf/49-12959-79818-88.pdf

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
History of endometriosis and fibroids linked to higher long-term risk of early death