We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Techniques Assessed for Measuring Breast Density

By MedImaging International staff writers
Posted on 16 Aug 2010
Two new studies have evaluated three different methods for effectively 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 from the University of California, Irvine (USA), led by Dr. Sabee Molloi, and were presented at the 52nd annual meeting of the American Association of Physicists in Medicine (AAPM) in Philadelphia, PA (USA). The first study compared two existing techniques for measuring breast density--cone-beam computed tomography (CT) and breast magnetic resonance imaging (MRI). The research revealed 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,” said medical physicist Dr. Justin Ducote, who presented the study on dual-energy mammography on July 19, 2010.

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, according to Dr. Ducote. In Dr. 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 Dr. Ducote, this allowed breast density to be measured from digital mammograms.

Dr. Ducote's colleague Dr. Huy Le presented related research at the meeting. In Dr. 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 discovered 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,” concluded Dr. Le.

The next step, according to the researchers, 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 conducted using postmortem tissue.

Related Links:
University of California, Irvine


Ultrasound Table
Women’s Ultrasound EA Table
Diagnostic Ultrasound System
DC-80A
Ultrasound Needle Guidance System
SonoSite L25
Ultrasound-Guided Biopsy & Visualization Tools
Endoscopic Ultrasound (EUS) Guided Devices

Channels

General/Advanced Imaging

view channel
Image: Example snapshots of the photon energy density at t = 0.5, 0.7, 0.9, 1.1 nanoseconds (ns) on the y = 2.0 cm plane (Horie, S., Yajima, H., Abe, M. et al., Biomedical Engineering Letters (2026). DOI: 10.1007/s13534-026-00578-9)

AI Tool Enables Real-Time Diffuse Optical Tomography for Brain Lesion Detection

Diffuse optical tomography is a noninvasive imaging technique that uses near-infrared light to detect internal abnormalities such as cerebral hemorrhage and tumors. Its clinical utility for real-time ... Read more

Imaging IT

view channel
Image: Researchers develop a vision-language model trained on large-scale data to generate clinically relevant findings from chest computed tomography images through visual question answering (Ms. Maiko Nagao from Meijo University, Japan)

Interactive AI Tool Supports Explainable Lung Nodule Assessment

Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more

Industry News

view channel
Image: MIM KineticID is 510(k)-pending software for dynamic PET imaging and kinetic modeling, enabling time-based radiotracer analysis for clinical and research decisions (Photo courtesy of GE Healthcare)

GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026

Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.