Evaluation of the attenuation coefficients in normal and pathological breast tissue

Landini, Luigi; Sarnelli, R

doi:10.1007/bf02441619

Cited by 41 publications

(30 citation statements)

References 12 publications

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“…The result for the breast sample is shown by the squares in figure 10(c). The overall attenuation within this region is approximately 0.6 dB cm −1 MHz −1 , which is somewhat lower than that found in larger studies reported in the literature (D’Astous and Foster 1986, Landini and Sarnelli 1986). …”

Section: Resultscontrasting

confidence: 59%

Acoustic backscatter and effective scatterer size estimates using a 2D CMUT transducer

et al. 2008

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Compared to conventional piezoelectric transducers, new capacitive microfabricated ultrasonic transducer (CMUT) technology is expected to offer a broader bandwidth, higher resolution and advanced 3D/4D imaging inherent in a 2D array. For ultrasound scatterer size imaging, a broader frequency range provides more information on frequency-dependent backscatter, and therefore, generally more accurate size estimates. Elevational compounding, which can significantly reduce the large statistical fluctuations associated with parametric imaging, becomes readily available with a 2D array. In this work, we show phantom and in vivo breast tumor scatterer size image results using a prototype 2D CMUT transducer (9 MHz center frequency) attached to a clinical scanner. A uniform phantom with two 1 cm diameter spherical inclusions of slightly smaller scatterer size was submerged in oil and scanned by both the 2D CMUT and a conventional piezoelectric linear array transducer. The attenuation and scatterer sizes of the sample were estimated using a reference phantom method. RF correlation analysis was performed using the data acquired by both transducers. The 2D CMUT results indicate that at a 2 cm depth (near the transmit focus for both transducers) the correlation coefficient reduced to less than 1/e for 0.2 mm lateral or 0.25 mm elevational separation between acoustic scanlines. For the conventional array this level of decorrelation requires a 0.3 mm lateral or 0.75 mm elevational translation. Angular and/or elevational compounding is used to reduce the variance of scatterer size estimates. The 2D array transducer acquired RF signals from 140 planes over a 2.8 cm elevational direction. If no elevational compounding is used, the fractional standard deviation of the size estimates is about 12% of the mean size estimate for both the spherical inclusion and the background. Elevational compounding of 11 adjacent planes reduces it to 7% for both media. Using an experimentally estimated attenuation of 0.6 dB cm −1 MHz −1 , scatterer size estimates for an in vivo breast tumor also demonstrate improvements using elevational compounding with data from the 2D CMUT transducer.

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Section: Resultscontrasting

confidence: 59%

Acoustic backscatter and effective scatterer size estimates using a 2D CMUT transducer

et al. 2008

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“…Other studies involving breast tissue characterization using QUS obtained similar results for differentiating benign from malignant breast features3536 but without linkage to predicting treatment response. For instance, in D’Astous et al 35,.…”

Section: Discussionmentioning

confidence: 88%

“…measurements of frequency-dependent ultrasound attenuation and backscatter signal from ex vivo samples of breast tissues including fat, parenchyma, and infiltrating ductal carcinoma demonstrated that frequency-dependent attenuation was discriminative among those tissues. Similarly, Landini et al 36. demonstrated that invasive ductal carcinoma could be differentiated from fatty, fibrotic, and parenchymal tissues on the basis of its frequency-dependent attenuation.…”

Section: Discussionmentioning

confidence: 95%

A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound

Tadayyon

Sannachi

Gangeh

et al. 2017

Sci Rep

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Quantitative ultrasound (QUS) can probe tissue structure and analyze tumour characteristics. Using a 6-MHz ultrasound system, radiofrequency data were acquired from 56 locally advanced breast cancer patients prior to their neoadjuvant chemotherapy (NAC) and QUS texture features were computed from regions of interest in tumour cores and their margins as potential predictive and prognostic indicators. Breast tumour molecular features were also collected and used for analysis. A multiparametric QUS model was constructed, which demonstrated a response prediction accuracy of 88% and ability to predict patient 5-year survival rates (p = 0.01). QUS features demonstrated superior performance in comparison to molecular markers and the combination of QUS and molecular markers did not improve response prediction. This study demonstrates, for the first time, that non-invasive QUS features in the core and margin of breast tumours can indicate breast cancer response to neoadjuvant chemotherapy (NAC) and predict five-year recurrence-free survival.

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“…In liver disease, inflamed livers were shown to have lower than normal attenuation coefficients while cirrhotic livers have higher than normal attenuation coefficients (Kuc and Schwartz, 1979). In breast tissue, the attenuation coefficient is low for fatty tissue and medullary carcinoma and high for infiltrating ductal carcinoma and fibrosis (Landini et al, 1985;Landini and Sarnelli, 1986). Accurate characterization of tissue pathologies using ultrasonic attenuation is strongly dependent on the accuracy of the algorithm that is used to obtain the attenuation coefficient estimates.…”

Section: Introductionmentioning

confidence: 99%

A theoretical comparison of attenuation measurement techniques from backscattered ultrasound echoes

Labyed

Bigelow

2011

The Journal of the Acoustical Society of America

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Accurate characterization of tissue pathologies using ultrasonic attenuation is strongly dependent on the accuracy of the algorithm that is used to obtain the attenuation coefficient estimates. In this paper, computer simulations were used to compare the accuracy and the precision of the three methods that are commonly used to estimate the local ultrasonic attenuation within a region of interest (ROI) in tissue; namely, the spectral log difference method, the spectral difference method, and the hybrid method. The effects of the inhomgeneities within the ROI on the accuracy of the three algorithms were studied, and the optimal ROI size (the number of independent echoes laterally and the number of pulse lengths axially) was quantified for each method. The three algorithms were tested for when the ROI was homogeneous, the ROI had variations in scatterer number density, and the ROI had variations in effective scatterer size. The results showed that when the ROI was homogeneous, the spectral difference method had the highest accuracy and precision followed by the spectral log difference method and the hybrid method, respectively. Also, when the scatterer number density varied, the spectral difference method completely failed, while the log difference method and hybrid method still gave good results. Lastly, when the scatterer size varied, all of the methods failed.

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Evaluation of the attenuation coefficients in normal and pathological breast tissue

Cited by 41 publications

References 12 publications

Acoustic backscatter and effective scatterer size estimates using a 2D CMUT transducer

Acoustic backscatter and effective scatterer size estimates using a 2D CMUT transducer

A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound

A theoretical comparison of attenuation measurement techniques from backscattered ultrasound echoes

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