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Healthcare Company News SuperSonic Imagine SuperSonic Imagine with Largest Breast Study Results

SuperSonic Imagine with Largest Breast Study Results

Company News - SuperSonic Imagine

SuperSonic Imagine unveiled some of the results of the largest clinical breast study ever undertaken in ultrasound imaging

SuperSonic Imagine , the innovative medical imaging company based in Aix-en-Provence, France has unveiled some of the results of the largest clinical breast study ever undertaken in ultrasound imaging. The worldwide multicenter study, involving top clinicians in the breast radiology community, is assessing the clinical benefits of ShearWave Elastography in the ultrasonic evaluation of breast lesions.

The study has two objectives: The first is to demonstrate that images obtained using ShearWave Elastography are reproducible. The second is to compare ultrasound alone versus the combination of ultrasound and ShearWave Elastography for breast lesion diagnosis. The goal of the latter is to improve lesion classification in categories BI-RADS 3 and BI-RADS 4(i) in order to better direct patients towards clinical follow-up or biopsy.

"This clinical investigation is the largest trial ever undertaken by an ultrasound imaging company as the recruitment will involve a targeted 2300 breast lesion cases," explains Claude Cohen-Bacrie, co-founder and Scientific Director of SuperSonic Imagine.

"Today it is essential to obtain additional information on breast lesions to improve diagnosis. In an era of healthcare reform, being able to reduce the number of biopsies by correctly classifying lesions could save resources and spare women the anxiety and difficulty that surrounds invasive procedures. Better lesion classification also means improved diagnosis, which can lead to quicker and better treatment."

ShearWave Elastography: the technology

Ultrasound imaging plays an important role in breast diagnosis. It is used on palpable masses, as a second intention exam after x-ray and MRI and as a modality of choice to guide biopsy. ShearWave Elastography is a breakthrough technology that gives additional, important information about tissue elasticity. Unlike conventional elastography methods, which rely on manual compression and measure tissue displacement, ShearWave Elastography requires no manual compression and computes true tissue elasticity by measuring the velocity of shear waves as they propagate in tissue. Shear wave propagation speed in tissue is directly related to tissue stiffness. This technology relies upon the generation of a shear wave and its subsequent capture. Shear wave propagation speed is then calculated and a color-coded real time ShearWave Elastography map is produced showing tissue stiffness. Results are real-time, user-skill independent, reproducible and quantifiable in kilopascals(1). ShearWave Elastography is available only on the Aixplorer MultiWave Ultrasound System.

The multicenter clinical trial

A world wide multicenter breast clinical study was launched in April 2008(2) with 17 prestigious American and European sites(ii) including: the Hammersmith Hospital Imperial College (United Kingdom), the Curie Institute of Paris (France), the DKD Wiesbaden and the academic hospitals Schleswig-Holstein and Greifswald (Germany), Yale Medical Center and the Northwestern Memorial Hospital (USA). The study was conducted under the leadership of Professor David Cosgrove (Imperial College, London).

The first phase of the study was to define a scientific model on 1000 cases, to determine if ShearWave Elastography information can complement ultrasound information in order to improve a diagnosis. To undertake this, it was necessary to identify the criteria of an elastography image that would, when added to ultrasound criteria, improve lesion characterization (in sensitivity and specificity when compared to ultrasound alone) and eventually improve a BI-RADS score. The ShearWave Elastography criteria or features studied for each lesion were: size, shape, average value of elasticity, homogeneity, orientation and contrast of elasticity between lesion and fatty tissue.

The second phase of the study will consist of testing this scientific model on an independent set of lesions. This phase is currently ongoing.

Clinical Result 1: ShearWave Elastography features are reproducible

To determine reproducibility, each clinical investigator was asked to perform and compare features on 3 separate ShearWave Elastography image acquisitions of the same lesion. The clinical results clearly showed that ShearWave Elastography is reproducible both qualitatively and quantitatively:

  • Qualitative: 87% of consecutive repeated ShearWave Elastography exams were 'similar', 'reasonably similar' or 'very similar' in appearance.
  • Quantitative: Intra-Observer Reproducibility(3) (IOR) rates for ShearWave Elastography measurements are close to perfect at 0.91.

Reproducibility assures the physician of a reliable and precise evaluation of a lesion, both during an elastography examination and over time, which is key for follow up.

Clinical Result 2: ShearWave Elastography feature(s) increase diagnostic accuracy and improve lesion classification

Regression models based on 1000 cases were statistically evaluated by Caroline Dore, an independent biostatistician from the Hammersmith Hospital and show that each individual ShearWave elastographic feature, when added to the ultrasound evaluation, improved the classification of the BI-RADS score of a lesion. The global evaluation is calculated on an analysis of the area under the ROC curve (Receiver Operating Characteristic). The larger the area under the curve, the better the BI-RADS score classification.

The clinical results demonstrated that when two ShearWave Elastography features are added to the ultrasound evaluation, correct breast lesion classification rates soar to 87%, thus leading to more accurate results.

Scientifically evaluated, the results of this clinical study therefore demonstrate that ShearWave Elastography features, when added to the BI-RADS score significantly improve the specificity and sensitivity of the diagnosis of the lesion. Associated with the BI-RADS score, these features increase the percentage of correctly classified lesions and improve lesion diagnosis.

Historically, ultrasound imaging was considered as an efficient method to differentiate solid lesions from liquid lesions. As a result of research over the last 15 years, ultrasound has become an important technique, with a very high negative predictive value, in the classification of lesions on the BI-RADS scale: 2(benign) to 5 (highly suggestive of malignancy). Today, the results of this multicenter study show that ShearWave Elastography combined with ultrasound, further improves lesion classification by significantly raising the percentage of lesions that are correctly classified and increases the specificity in the diagnosis while keeping a high negative predictive value and sensitivity.

Cohen-Bacrie concluded, "Our clinical objective is to confirm if ShearWave Elastography, combined with ultrasound, leads to a more refined lesion classification of  BI-RADS 3 and 4 and in turn leads to better direct patients towards follow-up or biopsy."

BI-RADS is the acronym for Breast Imaging-Reporting and Data System, a quality control system developed by the ACR (American College of Radiology) to assess breast lesions according to their degree of malignancy.


BI-RADS® classification  
BI-RADS® 1 = Negative
Statistical reality of the
BI-RADS® scores

BI-RADS® 2 = Benign findings
BI-RADS® 3 = Probably benign findings The probability for BI-RADS® lesions 3 to be malignant is less than 2% high
BI-RADS® 4 = Suspicious abnormality The probability for BI-RADS® lesions 4 to be malignant is between 2 and 94% high
BI-RADS® 5 = Highly suggestive of malignancy The probability for BI-RADS® lesions 5 to be malignant is more than 94% high


Clinical sites:


  • United States: Denver, Philadelphia, Los Angeles, Boston, Baltimore, Chicago, New Haven ,
  • Great Britain: London,
  • Italy: Gorizia,
  • France: Paris, Marseille, Nice, Lyon
  • Germany: Wiesbaden, Osnabruck, Kiel, Greifswald

Source: SuperSonic Imagine