Simultaneous comparison between strain and shear wave elastography of breast masses for the differentiation of benign and malignant lesions by qualitative and quantitative assessments

PurposeTo compare the addition of diagnostic strain elastography (SE) and shear wave elastography (SWE) values to the conventional B-mode ultrasonography in differentiating between benign and malignant breast masses by qualitative and quantitative assessments.Materials and methodsB-mode ultrasound, SE, and SWE were simultaneously performed using one ultrasound system in 148 breast masses; 88 of them were malignant. The breast imaging reporting and data system category in the B-mode, Tsukuba score (SETsu), Fat-Lesion-Ratio (SEFLR) in SE, and five-point color assessment (SWEcol) and elasticity values (SWEela) in SWE were assessed. The results were compared using the area under the receiver-operating characteristic curve (AUC).ResultThe AUC for B-mode and each elastography were similar (B-mode, 0.889; SETsu, 0.885; SEFLR, 0.875; SWEcol, 0.881; SWEela, 0.885; P > 0.05). The combined sets between B-mode and either of the elastography technique showed good diagnostic performance (B-mode + SETsu, 0.903; B-mode + SEFLR, 0.909; B-mode + SWEcol, 0.919; B-mode + SWEela, 0.914). B-mode + SWEcol and B-mode + SWEela showed a higher AUC than B-mode alone (P = 0.026 and 0.029), and B-mode + SETsu and B-mode + SEFLR showed comparable AUC to B-mode alone (P = 0.196 and 0.085). There was no significant difference between qualitative and quantitative assessments for the combined sets of B-mode and elastography (P > 0.05).ConclusionThe addition of both SE and SWE to B-mode ultrasound improved the diagnostic performance with increased AUC, and especially SWE was more useful than SE, and no significant difference was found between qualitative and quantitative assessments.

[1]  Eun Jee Song,et al.  Diagnostic performances of shear-wave elastography and B-mode ultrasound to differentiate benign and malignant breast lesions: the emphasis on the cutoff value of qualitative and quantitative parameters. , 2018, Clinical imaging.

[2]  Mikala Egeblad,et al.  Matrix Crosslinking Forces Tumor Progression by Enhancing Integrin Signaling , 2009, Cell.

[3]  Hyo Jin Kim,et al.  Comparison of strain and shear wave elastography for qualitative and quantitative assessment of breast masses in the same population , 2018, Scientific Reports.

[4]  Gianluca Bontempi,et al.  Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes , 2008, Clinical Cancer Research.

[5]  A. Thompson,et al.  Invasive breast cancer: relationship between shear-wave elastographic findings and histologic prognostic factors. , 2012, Radiology.

[6]  A. Jemal,et al.  Cancer statistics, 2018 , 2018, CA: a cancer journal for clinicians.

[7]  Tomy Varghese,et al.  Axial-shear strain imaging for differentiating benign and malignant breast masses. , 2010, Ultrasound in medicine & biology.

[8]  Ukihide Tateishi,et al.  Tumor characteristics of ductal carcinoma in situ of breast visualized on [F-18] fluorodeoxyglucose-positron emission tomography/computed tomography: Results from a retrospective study. , 2016, World journal of radiology.

[9]  T. Matsumura,et al.  Breast disease: clinical application of US elastography for diagnosis. , 2006, Radiology.

[10]  Eun Ju Son,et al.  Comparison of strain and shear wave elastography for the differentiation of benign from malignant breast lesions, combined with B-mode ultrasonography: qualitative and quantitative assessments. , 2014, Ultrasound in medicine & biology.

[11]  Samuel J. Magny,et al.  Breast Imaging Reporting and Data System , 2020, Definitions.

[12]  J. Ellis,et al.  Differentiation of papillary renal cell carcinoma subtypes on CT and MRI. , 2013, AJR. American journal of roentgenology.

[13]  Y. Kanda,et al.  Investigation of the freely available easy-to-use software ‘EZR' for medical statistics , 2012, Bone Marrow Transplantation.

[14]  Interobserver agreement in breast ultrasound categorization in the Mammography and Ultrasonography Study for Breast Cancer Screening Effectiveness (MUST-BE) trial: results of a preliminary study , 2018, Ultrasonography.

[15]  B. Garra,et al.  Elastography of breast lesions: initial clinical results. , 1997, Radiology.

[16]  M. Fink,et al.  Breast lesions: quantitative elastography with supersonic shear imaging--preliminary results. , 2010, Radiology.

[17]  Woo Kyung Moon,et al.  Comparison of shear-wave and strain ultrasound elastography in the differentiation of benign and malignant breast lesions. , 2013, AJR. American journal of roentgenology.

[18]  Anat Kornecki,et al.  Current Status of Breast Ultrasound , 2011, Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes.

[19]  A. Thompson,et al.  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 , 2012, British Journal of Cancer.

[20]  Haydee Ojeda-Fournier,et al.  A Pictorial Review of Changes in the BI-RADS Fifth Edition. , 2016, Radiographics : a review publication of the Radiological Society of North America, Inc.

[21]  Rebecca L. Siegel Mph,et al.  Cancer statistics, 2018 , 2018 .

[22]  Tsuyoshi Shiina,et al.  WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 1: basic principles and terminology. , 2015, Ultrasound in medicine & biology.

[23]  B. Choi,et al.  Comparison and Combination of Strain and Shear Wave Elastography of Breast Masses for Differentiation of Benign and Malignant Lesions by Quantitative Assessment: Preliminary Study , 2018, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[24]  W. Svensson,et al.  Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses. , 2012, Radiology.

[25]  L. Philpotts,et al.  Breast ultrasonography: state of the art. , 2013, Radiology.

[26]  Woo Kyung Moon,et al.  Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer , 2013, European Radiology.

[27]  J. Youk,et al.  Shear-wave elastography of invasive breast cancer: correlation between quantitative mean elasticity value and immunohistochemical profile , 2013, Breast Cancer Research and Treatment.

[28]  Colleen H. Neal,et al.  Ultrasonographic differentiation of malignant from benign breast lesions: a meta-analytic comparison of elasticity and BIRADS scoring , 2012, Breast Cancer Research and Treatment.

[29]  L. Liberman,et al.  Breast imaging reporting and data system (BI-RADS). , 2002, Radiologic clinics of North America.

[30]  Ukihide Tateishi,et al.  The feasibility of using 18F-FDG-PET/CT in patients with mucinous breast carcinoma , 2018, Nuclear medicine communications.