Differentiating benign from malignant solid breast masses : value of shear wave elastography according to lesion stiffness combined with greyscale ultrasound according to BI-RADS classification. / Evans, A.; Whelehan, P.; Thomson, K.; Brauer, K.; Jordan, L.; Purdie, C.; McLean, D.; Baker, L.; Vinnicombe, S.; Thompson, A.
In: British Journal of Cancer, Vol. 107, No. 2, 2012, p. 224-9.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Differentiating benign from malignant solid breast masses
T2 - value of shear wave elastography according to lesion stiffness combined with greyscale ultrasound according to BI-RADS classification
A1 - Evans,A.
A1 - Whelehan,P.
A1 - Thomson,K.
A1 - Brauer,K.
A1 - Jordan,L.
A1 - Purdie,C.
A1 - McLean,D.
A1 - Baker,L.
A1 - Vinnicombe,S.
A1 - Thompson,A.
AU - Evans,A.
AU - Whelehan,P.
AU - Thomson,K.
AU - Brauer,K.
AU - Jordan,L.
AU - Purdie,C.
AU - McLean,D.
AU - Baker,L.
AU - Vinnicombe,S.
AU - Thompson,A.
PY - 2012
Y1 - 2012
N2 - Background:The aim of this study was to assess the performance of shear wave elastography combined with BI-RADS classification of greyscale ultrasound images for benign/malignant differentiation in a large group of patients. Methods:One hundred and seventy-five consecutive patients with solid breast masses on routine ultrasonography undergoing percutaneous biopsy had the greyscale findings classified according to the American College of Radiology BI-RADS. The mean elasticity values from four shear wave images were obtained. Results:For mean elasticity vs greyscale BI-RADS, the performance results against histology were sensitivity: 95% vs 95%, specificity: 77% vs 69%, Positive Predictive Value (PPV): 88% vs 84%, Negative Predictive Value (NPV): 90% vs 91%, and accuracy: 89% vs 86% (all P>0.05). The results for the combination (positive result from either modality counted as malignant) were sensitivity 100%, specificity 61%, PPV 82%, NPV 100%, and accuracy 86%. The combination of BI-RADS greyscale and shear wave elastography yielded superior sensitivity to BI-RADS alone (P=0.03) or shear wave alone (P=0.03). The NPV was superior in combination compared with either alone (BI-RADS P=0.01 and shear wave P=0.02). Conclusion:Together, BI-RADS assessment of greyscale ultrasound images and shear wave ultrasound elastography are extremely sensitive for detection of malignancy.British Journal of Cancer advance online publication, 12 June 2012; doi:10.1038/bjc.2012.253 www.bjcancer.com.
AB - Background:The aim of this study was to assess the performance of shear wave elastography combined with BI-RADS classification of greyscale ultrasound images for benign/malignant differentiation in a large group of patients. Methods:One hundred and seventy-five consecutive patients with solid breast masses on routine ultrasonography undergoing percutaneous biopsy had the greyscale findings classified according to the American College of Radiology BI-RADS. The mean elasticity values from four shear wave images were obtained. Results:For mean elasticity vs greyscale BI-RADS, the performance results against histology were sensitivity: 95% vs 95%, specificity: 77% vs 69%, Positive Predictive Value (PPV): 88% vs 84%, Negative Predictive Value (NPV): 90% vs 91%, and accuracy: 89% vs 86% (all P>0.05). The results for the combination (positive result from either modality counted as malignant) were sensitivity 100%, specificity 61%, PPV 82%, NPV 100%, and accuracy 86%. The combination of BI-RADS greyscale and shear wave elastography yielded superior sensitivity to BI-RADS alone (P=0.03) or shear wave alone (P=0.03). The NPV was superior in combination compared with either alone (BI-RADS P=0.01 and shear wave P=0.02). Conclusion:Together, BI-RADS assessment of greyscale ultrasound images and shear wave ultrasound elastography are extremely sensitive for detection of malignancy.British Journal of Cancer advance online publication, 12 June 2012; doi:10.1038/bjc.2012.253 www.bjcancer.com.
U2 - 10.1038/bjc.2012.253
DO - 10.1038/bjc.2012.253
M1 - Article
JO - British Journal of Cancer
JF - British Journal of Cancer
SN - 0007-0920
IS - 2
VL - 107
SP - 224
EP - 229
ER -