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] Magnetic Resonance Imaging Evaluation of Pathological Response in Breast Cancer After Neoadjuvant Chemotherapy
    Akkavak Palazali, Gulcin
    Yilmaz, Ravza
    Palazali, Ozgkiour
    Dursun, Memduh
    INDIAN JOURNAL OF SURGERY, 2023, 85 (01) : 39 - 44
  • [22] EARLY RESPONSE TO NEOADJUVANT CHEMOTHERAPY IN BREAST CANCER: MR IMAGING FOR PREDICTION OF PCR
    Tsuda, M.
    Takada, M.
    Sugie, T.
    Kanao, S.
    Mikami, Y.
    Ueno, T.
    Takeuchi, M.
    Suzuki, E.
    Ishiguro, H.
    Toi, M.
    BREAST, 2013, 22 : S56 - S56
  • [23] Nomogram for Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Combining Both Clinicopathological and Imaging Indicators
    Wang, Haoqi
    Lu, Yuyang
    Li, Yilun
    Li, Sainan
    Zhang, Xi
    Geng, Cuizhi
    CURRENT PROBLEMS IN CANCER, 2022, 46 (06)
  • [24] Radiomics of MRI for the Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: A Single Referral Centre Analysis
    Pesapane, Filippo
    Rotili, Anna
    Botta, Francesca
    Raimondi, Sara
    Bianchini, Linda
    Corso, Federica
    Ferrari, Federica
    Penco, Silvia
    Nicosia, Luca
    Bozzini, Anna
    Pizzamiglio, Maria
    Origgi, Daniela
    Cremonesi, Marta
    Cassano, Enrico
    CANCERS, 2021, 13 (17)
  • [25] Biodynamic imaging predicts response of breast cancer patients to neoadjuvant chemotherapy
    Turek, John J.
    Nolte, David D.
    An, Ran
    CANCER RESEARCH, 2018, 78 (13)
  • [26] MR imaging of tumor response in breast cancer patients following neoadjuvant chemotherapy: correlated with pathological findings.
    Chen J-H
    Agrawal G
    Yu H
    Carpenter P
    Mehta R
    Nalcioglu O
    Su M-Y
    BREAST CANCER RESEARCH AND TREATMENT, 2007, 106 : S43 - S43
  • [27] Pathological and clinical predictors for response to neoadjuvant chemotherapy in breast cancer
    MacGrogan, G
    Pallud, C
    Simonie-Lafontaine, J
    Sagan, C
    Verrielle, V
    Antoine, M
    Ettore, F
    Treilleux, I
    Tas, P
    Bellocq, JP
    Ulusakarya, A
    LABORATORY INVESTIGATION, 2003, 83 (01) : 39A - 39A
  • [28] Pathological and clinical predictors for response to neoadjuvant chemotherapy in breast cancer
    MacGrogan, G
    Pallud, C
    Simonie-Lafontaine, J
    Sagan, C
    Verrielle, V
    Antoine, M
    Ettore, F
    Treilleux, J
    Tas, P
    Bellocq, JP
    Ulusakarya, A
    MODERN PATHOLOGY, 2003, 16 (01) : 39A - 39A
  • [29] Occult breast cancer with pathological complete response to neoadjuvant chemotherapy
    Ren, Ningning
    Liu, Shuo
    Shi, Peng
    Tian, Xingsong
    ASIAN JOURNAL OF SURGERY, 2024, 47 (11) : 4949 - 4951
  • [30] Mammographic breast density: Predictive value for pathological response to neoadjuvant chemotherapy in breast cancer patients
    Elsamany, S.
    Alzahrani, A.
    Abozeed, W. N.
    Rasmy, A.
    Farooq, M. U.
    Elbiomy, M. A.
    Rawah, E.
    Alsaleh, K.
    Abdel-Aziz, N. M.
    BREAST, 2015, 24 (05): : 576 - 581