Details

Autor(en) / Beteiligte

• Nasief, Haidy Gerges
• Rosado-Mendez, Ivan M.
• Zagzebski, James A.
• Hall, Timothy J.

Titel

Acoustic Properties of Breast Fat

Ist Teil von

• Journal of ultrasound in medicine, 2015-11, Vol.34 (11), p.2007-2016

Ort / Verlag

England: American Institute of Ultrasound in Medicine

Erscheinungsjahr

2015

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• Objectives The American College of Radiology Breast Imaging Reporting and Data System (BI‐RADS) atlas for ultrasound (US) qualitatively describes the echogenicity and attenuation of a mass, where fat lobules serve as a standard for comparison. This study aimed to estimate acoustic properties of breast fat under clinical imaging conditions to determine the degree to which properties vary among patients. Methods Twenty‐four women with solid breast masses scheduled for biopsy were scanned with a Siemens S2000 scanner and 18L6 linear array transducer (Siemens Medical Solutions, Malvern, PA). Offline analysis estimated the attenuation coefficient and backscatter coefficients (BSCs) from breast fat using the reference phantom method. The average BSC was calculated over 6 to 12 MHz to objectively quantify the BI‐RADS US echo pattern descriptor, and effective scatterer diameters were also estimated. Results A power law fit to the attenuation coefficient versus frequency yielded an attenuation coefficient of 1.28 dB·cm−1 MHz−0.73. The mean attenuation coefficient versus frequency slope ± SD at 7 MHz was 0.73 ± 0.23 dB·cm−1 MHz−1, in agreement with previously reported values. The BSC versus frequency showed close agreement among all patients, both in magnitude and frequency dependence, with a power law fit of (0.6 ± 0.25) ×10−4 sr−1 cm−1 MHz−2.49. The average backscatter in the 6–12‐MHz range was 0.004 ± 0.002 sr−1 cm−1. The mean effective scatterer diameter for fat was 60.2 ± 9.5 μm. Conclusions The agreement in parameter estimates for breast fat among these patients supports the use of fat as a standard for comparison with tumors. Results also suggest that objective quantification of these BI‐RADS US descriptors may reduce subjectivity when interpreting B‐mode image data.