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Shear Wave Elastography Combined with Molecular Subtype in Early Prediction of Pathological Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer: A Prospective Study

  • Author Footnotes
    # These authors contributed equally to this work.
    Jia-Xin Huang
    Footnotes
    # These authors contributed equally to this work.
    Affiliations
    Department of Medical Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China, 510000
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  • Author Footnotes
    # These authors contributed equally to this work.
    Shi-Yang Lin
    Footnotes
    # These authors contributed equally to this work.
    Affiliations
    Department of Medical Ultrasound, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China, 510000
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  • Yan Ou
    Affiliations
    Department of Medical Ultrasound, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China, 518000
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  • Xue-Yan Wang
    Affiliations
    Department of Medical Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China, 510000
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  • Cai-Gou Shi
    Affiliations
    Department of Medical Ultrasound, Liuzhou People's Hospital, Liuzhou, Guangxi, China, 545000
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  • Yuan Zhong
    Affiliations
    Department of Medical Ultrasound, Foshan First People's Hospital, Foshan, Guangdong, China, 528000
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  • Ming-Jie Wei
    Affiliations
    Department of Medical Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China, 510000
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  • Xiao-Qing Pei
    Correspondence
    Address correspondence to: Xiao-Qing Pei, Department of Medical Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, Guangzhou, GD, China, 510000
    Affiliations
    Department of Medical Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China, 510000
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  • Author Footnotes
    # These authors contributed equally to this work.
Published:October 28, 2022DOI:https://doi.org/10.1016/j.acra.2022.09.011
      Neoadjuvant chemotherapy (NAC) is an important part of breast cancer therapy with the advantages of contributing to better survival and downstaging cancer to increase the chances of surgery or breast-conserving surgery (
      • Teshome M
      • Hunt KK.
      Neoadjuvant therapy in the treatment of breast cancer.
      ,
      • Mieog J
      • Van der Hage J
      • Van De Velde C.
      Neoadjuvant chemotherapy for operable breast cancer.
      ). However, patients with chemotherapy resistance cannot benefit from NAC and may suffer from adverse reactions due to unnecessary chemotherapy. Furthermore, the timing of the operation may be delayed. Previous investigations demonstrated that the overall response rate for NAC can range from 69%‒100%, with pathological complete response being observed in 10%‒15% of patients (
      • Maur M
      • Guarneri V
      • Frassoldati A
      • et al.
      Primary systemic therapy in operable breast cancer: clinical data and biological fall-out.
      ). Therefore, a practical approach for the early evaluation and prediction of pathological response to NAC in breast cancer is of great importance for the optimization of therapy.

      Keywords

      Abbreviations:

      AUC (area under the ROC), HR (hormonal receptor), MHR (major histological response), NAC (neoadjuvant chemotherapy), NHR (non-major histological response), Ppredictor (ROC receiver operating characteristic), ROI (region of interest), SWE (shear wave elastography), SWV (shear wave velocity), UE (Ultrasound elastography), US (Ultrasound)
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