Usefulness of new shear wave elastography in early predicting the efficacy of neoadjuvant chemotherapy for patients with breast cancer: where and when to measure is optimal?

• DOI: 10.1007/s12282-021-01327-9
• Publication Date: 2022-01-17T14:05:08Z
• Authors: Jiong-Hui Gu; Chang He; Qi-Yu Zhao; Tian-An Jiang
• Keywords: 03 medical and health sciences; 0302 clinical medicine; ROC Curve; Elasticity Imaging Techniques; Humans; Breast Neoplasms; Female; Prospective Studies; Neoadjuvant Therapy; 3. Good health

The aim of this study was to investigate the diagnosis performance of new shear wave elastography (sound touch elastography, STE) in the prediction of neoadjuvant chemotherapy (NAC) response at an early stage in breast cancer patients and to determine the optimal measurement locations around the lesion in different ranges.One hundred and eight patients were analyzed in this prospective study from November 2018 to December 2020. All patients completed NAC treatment and underwent STE examination at three time points [the day before NAC (t0); the day before the second course (t1); the day before third course (t2)]. The stiffness of the whole lesion (G), 1-mm shell (S1) and 2-mm shell (S2) around the lesion was expressed by STE parameters. The relative changes (∆stiffness) of STE parameters after the first and second course of NAC were calculated and shown as the variables [Δ(t1) and Δ(t2)]. The diagnostic accuracy of STE was evaluated by means of receiver operating characteristic curve analysis.The ∆stiffness (%) including ∆Gmean(t2), ∆S1mean(t2) and ∆S2mean(t2) all showed significant differences between pathological complete response (pCR) and non-pCR groups. ∆S2mean(t2) displayed the best predictive performance for pCR (AUC = 0.842) with an ideal ∆stiffness threshold value - 26%.Measuring the relative changes in the stiffness of surrounding tissue or entire lesion with STE holds promise for effectively predicting the response to NAC at its early stage for breast cancer patients and ∆stiffness of shell 2 mm after the second course of NAC may be a potential prediction parameter.