Literature DB >> 26446820

Acoustic Properties of Breast Fat.

Haidy Gerges Nasief1, Ivan M Rosado-Mendez1, James A Zagzebski1, Timothy J Hall2.   

Abstract

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.
© 2015 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  Breast Imaging Reporting and Data System; attenuation; backscatter coefficient; breast fat; breast ultrasound; quantitative ultrasound

Mesh:

Year:  2015        PMID: 26446820      PMCID: PMC4618705          DOI: 10.7863/ultra.14.07039

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  34 in total

1.  High-frequency ultrasonic attenuation and backscatter coefficients of in vivo normal human dermis and subcutaneous fat.

Authors:  B I Raju; M A Srinivasan
Journal:  Ultrasound Med Biol       Date:  2001-11       Impact factor: 2.998

2.  Ultrasonic tissue characterization using 2-D spectrum analysis and its application in ocular tumor diagnosis.

Authors:  Tian Liu; Frederic L Lizzi; Ronald H Silverman; Gerald J Kutcher
Journal:  Med Phys       Date:  2004-05       Impact factor: 4.071

3.  Parametric ultrasound imaging from backscatter coefficient measurements: image formation and interpretation.

Authors:  M F Insana; T J Hall
Journal:  Ultrason Imaging       Date:  1990-10       Impact factor: 1.578

4.  Dependence of ultrasonic attenuation on bone mass and microstructure in bovine cortical bone.

Authors:  Magali Sasso; Guillaume Haïat; Yu Yamato; Salah Naili; Mami Matsukawa
Journal:  J Biomech       Date:  2007-10-29       Impact factor: 2.712

5.  Ultrasound focal lesion detectability phantoms.

Authors:  E L Madsen; J A Zagzebski; M C Macdonald; G R Frank
Journal:  Med Phys       Date:  1991 Nov-Dec       Impact factor: 4.071

6.  Differentiation of breast tumors by ultrasonic tissue characterization.

Authors:  R M Golub; R E Parsons; B Sigel; E J Feleppa; J Justin; H A Zaren; M Rorke; J Sokil-Melgar; H Kimitsuki
Journal:  J Ultrasound Med       Date:  1993-10       Impact factor: 2.153

7.  Simultaneous backscatter and attenuation estimation using a least squares method with constraints.

Authors:  Kibo Nam; James A Zagzebski; Timothy J Hall
Journal:  Ultrasound Med Biol       Date:  2011-10-02       Impact factor: 2.998

8.  Ultrasonic attenuation and backscatter coefficient estimates of rodent-tumor-mimicking structures: comparison of results among clinical scanners.

Authors:  Kibo Nam; Ivan M Rosado-Mendez; Lauren A Wirtzfeld; Alexander D Pawlicki; Viksit Kumar; Ernest L Madsen; Goutam Ghoshal; Roberto J Lavarello; Michael L Oelze; Timothy A Bigelow; James A Zagzebski; William D O'Brien; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2011-10       Impact factor: 1.578

9.  Interlaboratory comparison of backscatter coefficient estimates for tissue-mimicking phantoms.

Authors:  Janelle J Anderson; Maria-Teresa Herd; Michael R King; Alexander Haak; Zachary T Hafez; Jun Song; Michael L Oelze; Ernest L Madsen; James A Zagzebski; William D O'Brien; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2010-01       Impact factor: 1.578

10.  Techniques and evaluation from a cross-platform imaging comparison of quantitative ultrasound parameters in an in vivo rodent fibroadenoma model.

Authors:  Lauren A Wirtzfeld; Kibo Nam; Yassin Labyed; Goutam Ghoshal; Alexander Haak; Ellora Sen-Gupta; Zhi He; Nathaniel R Hirtz; Rita J Miller; Sandhya Sarwate; Douglas G Simpson; James A Zagzebski; Timothy A Bigelow; Michael Oelze; Timothy J Hall; William D O'Brien
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2013-07       Impact factor: 2.725

View more
  9 in total

1.  Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming.

Authors:  Zara Vajihi; Ivan M Rosado-Mendez; Timothy J Hall; Hassan Rivaz
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-09-12       Impact factor: 2.725

2.  Shapes and distributions of soft tissue scatterers.

Authors:  K J Parker
Journal:  Phys Med Biol       Date:  2019-09-05       Impact factor: 3.609

3.  A Quantitative Ultrasound-Based Multi-Parameter Classifier for Breast Masses.

Authors:  Haidy G Nasief; Ivan M Rosado-Mendez; James A Zagzebski; Timothy J Hall
Journal:  Ultrasound Med Biol       Date:  2019-04-26       Impact factor: 2.998

Review 4.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

5.  Semi-anthropomorphic photoacoustic breast phantom.

Authors:  Maura Dantuma; Rianne van Dommelen; Srirang Manohar
Journal:  Biomed Opt Express       Date:  2019-10-29       Impact factor: 3.732

6.  Analytic Global Regularized Backscatter Quantitative Ultrasound.

Authors:  Noushin Jafarpisheh; Timothy J Hall; Hassan Rivaz; Ivan M Rosado-Mendez
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-04-26       Impact factor: 2.725

7.  Effects of contrast-enhanced ultrasound treatment on neoadjuvant chemotherapy in breast cancer.

Authors:  Anne Rix; Marion Piepenbrock; Barbara Flege; Saskia von Stillfried; Patrick Koczera; Tatjana Opacic; Nina Simons; Peter Boor; Sven Thoröe-Boveleth; Roel Deckers; Jan-Niklas May; Twan Lammers; Georg Schmitz; Elmar Stickeler; Fabian Kiessling
Journal:  Theranostics       Date:  2021-09-21       Impact factor: 11.556

8.  Photoacoustic imaging phantoms for assessment of object detectability and boundary buildup artifacts.

Authors:  Jorge Palma-Chavez; Keith A Wear; Yash Mantri; Jesse V Jokerst; William C Vogt
Journal:  Photoacoustics       Date:  2022-03-21

9.  Rapid scanning wide-field clutter elimination in epi-optoacoustic imaging using comb LOVIT.

Authors:  Tigran Petrosyan; Maria Theodorou; Jeff Bamber; Martin Frenz; Michael Jaeger
Journal:  Photoacoustics       Date:  2018-02-19
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.