Prediction of pathological response to neoadjuvant chemotherapy in breast cancer patients by imaging

被引:13
|
作者
Kaise, Hiroshi [1 ]
Shimizu, Fumika [2 ]
Akazawa, Kohei [2 ]
Hasegawa, Yoshie [3 ]
Horiguchi, Jun [4 ]
Miura, Daishu [5 ]
Kohno, Norio [6 ]
Ishikawa, Takashi [1 ]
机构
[1] Tokyo Med Univ Hosp, Dept Breast Oncol & Surg, Tokyo, Japan
[2] Niigata Univ Med & Dent Hosp, Dept Med Informat, Niigata, Japan
[3] Hirosaki Municipal Hosp, Dept Breast Surg, Aomori, Japan
[4] Gunma Univ Hosp, Dept Breast & Endocrine Surg, Gunma, Japan
[5] Toranomon Gen Hosp, Dept Breast & Endocrine Surg, Tokyo, Japan
[6] Kobe Kaisei Hosp, Dept Breast Surg, Kobe, Hyogo, Japan
关键词
Breast cancer; Neoadjuvant chemotherapy; Magnetic resonance imaging; Ultrasound; Pathological complete response; MRI; METAANALYSIS; ACCURACY;
D O I
10.1016/j.jss.2017.12.002
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background: Diagnostic imaging is important for predicting the pathological response to chemotherapy during neoadjuvant chemotherapy (NAC) and for considering the surgical management with appropriate resection after NAC. This study was performed to examine the accuracy of the present radiological imaging for predicting the pathological complete response (pCR). Methods: From 188 patients in our previous JONIE1 Study, a randomized controlled trial comparing chemotherapy with and without zoledronic acid for patients with human epidermal growth factor receptor 2-negative breast cancer, we evaluated 122 patients whose tumor size was examined by magnetic resonance imaging or ultrasound at three points: before NAC; after administering fluorouracil, epirubicin, and cyclophosphamide; and after NAC. The maximum tumor diameter was evaluated by magnetic resonance imaging or ultrasound. Tumor reduction ratios were calculated at the same three points. The association between the radiological clinical response and the pCR was examined. Results: Among the 122 patients evaluated, there were 98 and 24 patients with luminal (Lum) and triple-negative (TN) subtypes, respectively. There were no patients who showed tumor progression after treatment. The radiological size of the tumors was finally reduced by an average of 58.4%. Clinical complete response and pCR were achieved in 22 (18.0%) and 15 (12.3%) patients, respectively. In the overall population (n = 122), the accuracy, sensitivity, and specificity for predicting pCR were 86.1%, 88.8%, and 66.7%, respectively. The negative predictive value and false-negative rate were 45.5% and 11.2%, respectively. According to subtypes, the accuracies were 83.7% and 95.8% in Lum and TN, respectively. Negative predictive value and false-negative rate were markedly different between the Lum (29.4% and 13.5%) and TN subtypes (100% and 0%), respectively. Conclusions: This randomized clinical trial demonstrated that NAC was safe for operable breast cancer patients with appropriate radiological monitoring. Radiological evaluation after NAC may be a reliable method for predicting pathological response in the TN subtype, but not in the Lum subtype. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:175 / 180
页数:6
相关论文
共 50 条
  • [21] Contrast-enhanced ultrasonography for early prediction of response of neoadjuvant chemotherapy in breast cancer
    Guo, Jiabao
    Wang, Bao-Hua
    He, Mengna
    Fu, Peifen
    Yao, Minya
    Jiang, Tian'an
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [22] Predictive factors of pathological response to neoadjuvant chemotherapy in patients with breast cancer
    Ryspayeva, Dinara
    Lyashenko, Andrey
    Dosenko, Irina
    Kostryba, Oleksey
    Koshyk, Olena
    Krotevych, Mykhailo
    Smolanka, Ivan
    JOURNAL OF BUON, 2020, 25 (01): : 168 - 175
  • [23] MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer
    Li, Hui
    Zhao, Yuanshen
    Duan, Jingxian
    Gu, Jia
    Liu, Zaiyi
    Zhang, Huailing
    Zhang, Yuqin
    Li, Zhi-Cheng
    DISPLAYS, 2024, 83
  • [24] Clinical and pathological predictors of recurrence in breast cancer patients achieving pathological complete response to neoadjuvant chemotherapy
    Asaoka, Mariko
    Narui, Kazutaka
    Suganuma, Nobuyasu
    Chishima, Takashi
    Yamada, Akimitsu
    Sugae, Sadatoshi
    Kawai, Saori
    Uenaka, Natsuki
    Teraoka, Saeko
    Miyahara, Kana
    Kawate, Takahiko
    Sato, Eichi
    Nagao, Toshitaka
    Matsubara, Yuka
    Gandhi, Shipra
    Takabe, Kazuaki
    Ishikawa, Takashi
    EJSO, 2019, 45 (12): : 2289 - 2294
  • [25] Pretreatment systemic inflammation response index is predictive of pathological complete response in patients with breast cancer receiving neoadjuvant chemotherapy
    Dong, Jie
    Sun, Qingqing
    Pan, Yueyin
    Lu, Nannan
    Han, Xinghua
    Zhou, Qiong
    BMC CANCER, 2021, 21 (01)
  • [26] Diffusion-weighted imaging in monitoring the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis
    Wen Gao
    Ning Guo
    Ting Dong
    World Journal of Surgical Oncology, 16
  • [27] Ultrasound-based quantitative microvasculature imaging for early prediction of response to neoadjuvant chemotherapy in patients with breast cancer
    Sabeti, Soroosh
    Larson, Nicholas B.
    Boughey, Judy C.
    Stan, Daniela L.
    Solanki, Malvika H.
    Fazzio, Robert T.
    Fatemi, Mostafa
    Alizad, Azra
    BREAST CANCER RESEARCH, 2025, 27 (01)
  • [28] Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method
    Qu, Yu-Hong
    Zhu, Hai-Tao
    Cao, Kun
    Li, Xiao-Ting
    Ye, Meng
    Sun, Ying-Shi
    THORACIC CANCER, 2020, 11 (03) : 651 - 658
  • [29] Characteristics of breast cancer patients with pathological complete response after neoadjuvant chemotherapy
    Kolacinska, Agnieszka
    Blasinska-Morawiec, Maria
    Dowgier-Witczak, Izabela
    Kordek, Radzislaw
    Morawiec, Zbigniew
    MENOPAUSE REVIEW-PRZEGLAD MENOPAUZALNY, 2010, 9 (05): : 300 - 304
  • [30] MRI Evaluation of Residual Breast Cancer After Neoadjuvant Chemotherapy: Influence of Patient, Tumor and Chemotherapy Characteristics on the Correlation with Pathological Response
    Diguisto, Caroline
    Ouldamer, Lobna
    Arbion, Flavie
    Vilde, Anne
    Body, Gilles
    ANTICANCER RESEARCH, 2015, 35 (01) : 581 - 585