Eun Jee Song1, Yu-Mee Sohn1, Mirinae Seo1. 1. Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University , Seoul , South Korea.
Abstract
OBJECTIVE: To correlate clinicoradiologic and pathological features of breast cancer with quantitative and qualitative shear wave elastographic parameters. METHODS: 82 breast cancers in 75 patients examined by B-mode ultrasound and shear wave elastography (SWE) were included. SWE parameters including quantitative factors [maximum elasticity (Emax), mean elasticity (Emean), elasticity ratio (Eratio) and standard deviation (SD)] and qualitative factor (color pattern) were correlated with clinicoradiologic and pathological features using univariate and multivariate linear regression analyses. RESULTS: Presence of symptoms and larger tumor size on ultrasound were significantly associated with higher Emax, Emean, Eratio, and SD (all p < 0.05) on univariate analysis. Older age was significantly correlated with higher Emax and Emean (p = 0.026, 0.018). Lymphovascular invasion and larger pathologic size were significantly associated with higher Emax (p = 0.036, 0.043) and SD (p < 0.001, 0.019). No immunohistochemical biomarkers were significantly correlated with SWE parameters. There was no significant correlation between color pattern and any variable. Multivariate logistic regression analysis showed that the symptom, tumor size on ultrasound and lymphovascular invasion were independent factors that influenced the SWE values. CONCLUSION: Tumor stiffness as measured by SWE and B-mode ultrasound could help predict cancer prognosis. Advances in knowledge: Clinicoradiologic factors had correlation with quantitative and qualitative SWE parameters. Using SWE parameters and B-mode ultrasound, we can predict breast cancer prognosis.
OBJECTIVE: To correlate clinicoradiologic and pathological features of breast cancer with quantitative and qualitative shear wave elastographic parameters. METHODS: 82 breast cancers in 75 patients examined by B-mode ultrasound and shear wave elastography (SWE) were included. SWE parameters including quantitative factors [maximum elasticity (Emax), mean elasticity (Emean), elasticity ratio (Eratio) and standard deviation (SD)] and qualitative factor (color pattern) were correlated with clinicoradiologic and pathological features using univariate and multivariate linear regression analyses. RESULTS: Presence of symptoms and larger tumor size on ultrasound were significantly associated with higher Emax, Emean, Eratio, and SD (all p < 0.05) on univariate analysis. Older age was significantly correlated with higher Emax and Emean (p = 0.026, 0.018). Lymphovascular invasion and larger pathologic size were significantly associated with higher Emax (p = 0.036, 0.043) and SD (p < 0.001, 0.019). No immunohistochemical biomarkers were significantly correlated with SWE parameters. There was no significant correlation between color pattern and any variable. Multivariate logistic regression analysis showed that the symptom, tumor size on ultrasound and lymphovascular invasion were independent factors that influenced the SWE values. CONCLUSION:Tumor stiffness as measured by SWE and B-mode ultrasound could help predict cancer prognosis. Advances in knowledge: Clinicoradiologic factors had correlation with quantitative and qualitative SWE parameters. Using SWE parameters and B-mode ultrasound, we can predict breast cancer prognosis.
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