XIANG Santing, WANG Wenping, LEI Fan, LI Qian, YU Feihong. Clinical application of shear wave elastography parameters in early assessment of neoadjuvant pathological response in patients with breast cancer[J]. Journal of Clinical Medicine in Practice, 2023, 27(16): 11-15. DOI: 10.7619/jcmp.20231371
Citation: XIANG Santing, WANG Wenping, LEI Fan, LI Qian, YU Feihong. Clinical application of shear wave elastography parameters in early assessment of neoadjuvant pathological response in patients with breast cancer[J]. Journal of Clinical Medicine in Practice, 2023, 27(16): 11-15. DOI: 10.7619/jcmp.20231371

Clinical application of shear wave elastography parameters in early assessment of neoadjuvant pathological response in patients with breast cancer

More Information
  • Received Date: April 26, 2023
  • Revised Date: June 15, 2023
  • Available Online: September 05, 2023
  • Objective 

    To investigate the value of shear wave elastography (SWE) parameters in early prediction of pathological response to neoadjuvant chemotherapy (NAC) in invasive breast cancer.

    Methods 

    A total of 96 patients with invasive breast cancer who received full course NAC treatment were included. Routine two-dimensional ultrasound and SWE were performed in patients before NAC and after the second cycle to obtain change rate of maximum lesion diameter at the end of the second cycle of NAC (ΔD), change rate of maximum elastic value at the end of the second cycle of NAC (ΔEmax) and change rate of average elastic value at the end of secondcycle of NAC(ΔEmean). All patients were treated surgically and were divided into pathological complete response (PCR) group(n=33) and non-PCR group(n=63) according to Miller&Payne's pathological grade. The clinicopathological data and elastic quantitative parameters of the two groups were compared. Receiver operating characteristic (ROC) curves were plotted to analyze and compare their predictive efficacy.

    Results 

    Multivariate Logistic regression analysis showed that human epidermal growth factor receptor 2 (HER2) and ΔEmax were independent predictors of NAC pathological response (OR=6.25, P < 0.05; OR=3.72, P < 0.05). The prediction efficiency of the combined model of HER2 and ΔEmax was optimal, with the area under the curve (AUC) of 0.87 (95%CI, 0.79 to 0.94).

    Conclusion 

    The change rates of SWE elastic parameters have predictive value in the early stage of NAC for breast cancer. The combined HER2 and ΔEmax model can improve the diagnostic efficiency in predicting the pathological response of NAC.

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