Correlation and Clinical Significance of Shear Wave Elastography Combined with Conventional Ultrasound Parameters and GPER Expression in Breast Cancer
Objective To explore the correlation between quantitative parameters of shear wave elastography(SWE)combined with conventional ultrasound parameters and the expression of GPER in breast cancer and its clinical significance.Methods Routine ultrasonography and SWE were performed in 63 cases of breast masses(all diagnosed with breast cancer after operation)before operation.Conventional ultrasound obtains the maximum diameter of the lesion,blood flow resistance index(RI),and SWE examination measures the maximum elasticity value Emax of the lesion.Using postoperative pathological results as the gold standard,record patient age,menstrual status,tumor histological grading,presence of lymph node metastasis,TNM staging,etc.Use immunohistochemistry to detect the expression of GPER in tumor stroma and parenchyma.Results There was a significant correlation between Emax and the expression of GPER in tumor stroma(P＜0.05).There was no significant correlation between Emax and GPER expression in tumor tissue(P＞0.05).Emax was significantly correlated with tumor size,RI,axillary lymph node status,histological grading,and clinical TNM staging(P＜0.05).The expression of GPER in tumor stroma was signif-icantly correlated with tumor size,RI,axillary lymph node status,and clinical TNM staging(P＜0.05),but not significantly corre-lated with patient age,menstrual status,and histological grading(P＞0.05).The expression of GPER in tumor parenchyma showed no significant correlation with the above clinical parameters(P＞0.05).Conclusion The quantitative parameter Emax of SWE is related to the expression of GPER in the interstitial tissue of breast cancer,and both expressions are closely related to the size of breast tumor,RI,axillary lymph node status and clinical stage.Preoperative SWE ultrasonography combined with pathologi-cal analysis of GPER expression in the interstitial tissue of breast cancer may become a new method to predict the prognosis of breast cancer patients,and provide theoretical basis for clinical individualized treatment.
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