Balu-Maestro, C

Barke, L

Cosgrove, DO

Cossi, A

Dore, C

Hooley, R

Larsen, L

Madjar, H

Mendelson, E

Ohlinger, R

Svensson, W

Tardivon, A

Tourasse, C

UCL Discovery

P10Preliminary assessment of ShearWave™ elastography features in predicting breast lesion malignancyDO Cosgrove1, C Doré2, C Tourasse2, R Ohlinger3, H Madjar4, R Hooley5, C Balu-Maestro6, E Mendelson7, W Svensson1,8, A Tardivon9, A Cossi10, L Barke10,11, L Larsen10,121Imperial College, Hammersmith Hospital, London, UK; 2Jean Mermoz Private Hospital, Lyon, France; 3University Hospital, Frauenklinik, Greifswald, Germany; 4German Diagnostic Clinic, Wiesbaden, Germany; 5Yale Medical Center, New Haven, CT, USA; 6Centre Antoine Lacassagne, Nice, France; 7Northwestern Memorial Hospital, Chicago, IL, USA; 8Charing Cross Hospital, London, UK; 9Centre Antoine Lacassagne, Nice, France; 10Institut Curie, Paris, France; 11Sally Jobe Breast Center, Denver, CO, USA; 12University of Southern California, Los Angeles, CA, USABreast Cancer Research 2010, 12(Suppl 3):P10 (doi: 10.1186/bcr2663)Introduction ShearWave™ elastography (SWE) provides a quantitative measure ment of tissue stiff ness with high spatial resolution and may improve characterization of breast masses. The goal of this study was to evaluate the reproducibility of SWE and the impact of adding SWE features to the BI-RADS classifi cation of breast masses from the fi rst 1,000 cases in a prospective multicenter trial.Methods SWE studies were performed on a prototype of the Aixplorer system (Supersonic Imagine, Aix-en-Provence, France). A subset of 192 breast lesions (42.71% malignant) was analyzed. Reproducibility of SWE images and measurements was assessed; logistic regression analysis was performed to predict the pathology fi ndings. SWE features were added to the ultrasound BI-RADS to generate models that were challenged by comparing the areas under the ROC curves (Az), and the sensitivity and specifi city scores.Results In the preliminary analysis, intra-operator reproducibility of SWE size (R ≥0.93) and mean elasticity (R = 0.88) measurements were in near-perfect agreement. Using the best three-variable model (BIRADS + elasticity shape + maximum elasticity), the Az increased from 0.77 to 0.93 and specifi city increased from 61.8% to 87.3%, although sensitivity decreased from 92.7% to 87.8%. Adding more variables did not eff ect further improvements.Conclusions In this ongoing study, SWE provided reproducible information (elasticity values and SWE mapping) that improved the characterization of breast lesions. These features are directly linked to the characteristics of SWE: local quantifi cation and millimeter resolution. Further evaluation of the study is in progress.Breast Cancer Research 2010, Volume 12 Suppl 3http://breast-cancer-research.com/supplements/12/S3S5

Preliminary assessment of ShearWave (TM) elastography features in predicting breast lesion malignancy

http://discovery.ucl.ac.uk/1391477/1/Dore_2010%20Cosgrove_redacted.pdf

Preliminary assessment of ShearWave (TM) elastography features in predicting breast lesion malignancy

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