Prediction of complete response after neoadjuvant chemotherapy for invasive breast cancers: The utility of shear wave elastography and superb microvascular imaging in pretreatment breast ultrasound

被引:4
|
作者
Lee, Eun Ji [1 ]
Chang, Yun-Woo [1 ]
机构
[1] Soonchunhyang Univ, Seoul Hosp, Dept Radiol, Seoul, South Korea
关键词
Ultrasonography; Shear wave elastography; Neoadjuvant chemotherapy; Breast cancer; Neoplasm; PATHOLOGICAL COMPLETE RESPONSE; KI-67; ULTRASONOGRAPHY; COMBINATION; STIFFNESS; INDEX; COLOR;
D O I
10.1016/j.ejrad.2024.111432
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To investigate whether multiparametric parameters of pretreatment breast ultrasound (US) and clinicopathologic factors are associated with pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer. Methods: Between November 2018 and September 2022, 88 patients who underwent NAC and subsequent surgery were included in this study (median age, 55 years; interquartile range [IQR], 45, 59.3). Multiparametric breast US including grayscale, shear wave elastography (SWE) and superb microvascular imaging (SMI) of pathologically proven invasive breast cancers were retrospectively reviewed. Clinicopathological and multiparametric parameters of breast US, including size, SWEmax, SWEratio and vascular index on SMI (SMIVI) were compared between the groups. Univariate and multivariate logistic regression analyses were performed to determine factors predicting pCR after NAC. AUROC curve analysis was performed to determine the predictors' optimal cut-off values and diagnostic performance. Results: The pCR group (n = 24) showed a significantly smaller tumor size, lower SWEmax, higher Ki-67 index, higher hormone receptor negativity and negative axillary lymph node metastasis compared to the non-pCR group (n = 64). Multivariate regression analysis showed that SWEmax (adjusted odds ratio[aOR] = 0.956, 95 % confidence interval [CI] = 0.919-0.994, P = 0.025) and Ki-67 index (aOR = 1.083, 95 % CI = 1.012-1.159, P = 0.021) were independently associated with pathologically complete response. The optimal cut-off values for predicting pCR were 27.5 % for Ki-67 with an AUC of 0.743 and 134.8 kPa for SWEmax with an AUC of 0.779. A combination model including clinical factors and SWEmax showed the best diagnostic performance with an AUC of 0.876. Conclusion: A higher Ki-67 index and lower SWEmax measured on pretreatment breast US were independently associated with pCR in invasive breast cancer after NAC.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Assessment and Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparison of Imaging Modalities and Future Perspectives
    Romeo, Valeria
    Accardo, Giuseppe
    Perillo, Teresa
    Basso, Luca
    Garbino, Nunzia
    Nicolai, Emanuele
    Maurea, Simone
    Salvatore, Marco
    CANCERS, 2021, 13 (14)
  • [42] A Novel Nomogram Based on Imaging Biomarkers of Shear Wave Elastography, Angio Planewave Ultrasensitive Imaging, and Conventional Ultrasound for Preoperative Prediction of Malignancy in Patients with Breast Lesions
    Guo, Guoqiang
    Feng, Jiaping
    Jin, Chunchun
    Gong, Xuehao
    Chen, Yihao
    Chen, Sihan
    Wei, Zhanghong
    Xiong, Huahua
    Lu, Jianghao
    DIAGNOSTICS, 2023, 13 (03)
  • [43] Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer
    Fei-Hong Yu
    Shu-Mei Miao
    Cui-Ying Li
    Jing Hang
    Jing Deng
    Xin-Hua Ye
    Yun Liu
    European Radiology, 2023, 33 : 5634 - 5644
  • [44] Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer
    Yu, Fei-Hong
    Miao, Shu-Mei
    Li, Cui-Ying
    Hang, Jing
    Deng, Jing
    Ye, Xin-Hua
    Liu, Yun
    EUROPEAN RADIOLOGY, 2023, 33 (08) : 5634 - 5644
  • [45] Impact of pathological complete response to neoadjuvant chemotherapy in invasive breast cancer according to molecular subtype
    Cirier, J.
    Body, G.
    Jourdan, M. -L.
    Bedouet, L.
    Fleurier, C.
    Pilloy, J.
    Arbion, F.
    Ouldamer, L.
    GYNECOLOGIE OBSTETRIQUE FERTILITE & SENOLOGIE, 2017, 45 (10): : 535 - 544
  • [46] Predicting pathological complete response after neoadjuvant chemotherapy in breast cancer by clinicopathological indicators and ultrasound parameters using a nomogram
    Zhang, Tingjian
    Liu, Yuyao
    Tian, Tian
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [47] Diagnostic efficiency of conventional ultrasound, shear wave elastography, and superb microvascular imaging in evaluating ulnar neuropathy at the elbow
    Zhang, Yao
    Liu, Wei-Yao
    Xue, Wei-Li
    Wu, Han
    Yuan, Yan
    Ma, Xin-Yuan
    Wang, Hong
    Zhou, Xian-Li
    MUSCLE & NERVE, 2024, 70 (02) : 210 - 216
  • [48] Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram
    Cui, Hao
    Zhao, Dantong
    Han, Peng
    Zhang, Xudong
    Fan, Wei
    Zuo, Xiaoxuan
    Wang, Panting
    Hu, Nana
    Kong, Hanqing
    Peng, Fuhui
    Wang, Ying
    Tian, Jiawei
    Zhang, Lei
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [49] Predicting Response to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer After the Second Cycle of Chemotherapy Using Shear-Wave Elastography-A Preliminary Evaluation
    Singh, Tulika
    Kumar, Niraj
    Sandhu, Manavjit
    Singla, Veenu
    Singh, Gurpreet
    Bal, Amanjit
    ULTRASOUND QUARTERLY, 2021, 37 (01) : 16 - 22
  • [50] MRI in diagnosis of pathological complete response in breast cancer patients after neoadjuvant chemotherapy
    Li, Yan-Ling
    Zhang, Xiao-Peng
    Li, Jie
    Cao, Kun
    Cui, Yong
    Li, Xiao-Ting
    Sun, Ying-Shi
    EUROPEAN JOURNAL OF RADIOLOGY, 2015, 84 (02) : 242 - 249