Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer

被引:3
|
作者
Canteros, Daniel [1 ]
Walbaum, Benjamin [1 ]
Cordova-Delgado, Miguel [1 ]
Torrealba, Andres [2 ]
Reyes, Constanza [3 ]
Elena Navarro, Maria [3 ]
Razmilic, Dravna [3 ]
Camus, Mauricio [2 ]
Dominguez, Francisco [2 ]
Navarrete, Orieta [4 ]
Pinto, Mauricio P. [1 ]
Pizarro, Gonzalo [1 ]
Acevedo, Francisco [1 ]
Sanchez, Cesar [1 ]
机构
[1] Pontificia Univ Catolica Chile, Fac Med, Dept Hematol Oncol, Santiago 8330024, Chile
[2] Pontificia Univ Catolica Chile, Fac Med, Dept Surg Oncol, Santiago 8330024, Chile
[3] Pontificia Univ Catolica Chile, Fac Med, Dept Radiol, Santiago 8330024, Chile
[4] Pontificia Univ Catolica Chile, Fac Med, Dept Pathol, Santiago 8330024, Chile
来源
ECANCERMEDICALSCIENCE | 2022年 / 16卷
关键词
contrast-enhanced mammography; neoadjuvant chemotherapy; pathological complete response; sensitivity and specificity; SPECTRAL MAMMOGRAPHY; DIAGNOSTIC-ACCURACY;
D O I
10.3332/ecancer.2022.1396
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Recently, contrast-enhanced mammography (CEM) has emerged as a reliable alternative to breast magnetic resonance imaging (MRI) for the assessment of pathological response in breast cancer patients. Our study sought to determine the diagnostic accuracy of CEM to predict pathological complete response (pCR) in patients who received neoadjuvant chemotherapy (NACT). Methods: We retrieved the medical records of patients who underwent NACT at our institution. Using post-surgery pCR, morphological evidence and CEM enhancement tumours were classified as follows: 1) radiologic complete response (rCR); 2) functional radiological complete response (frCR); and 3) non-complete response. Initially, we used multivariate analyses adjusted by clinical variables and frCR or rCR to determine which variables affected pathological response. Then, CEM diagnostic accuracy to discriminate pCR was assessed using receiver operating characteristic curves in univariate and multivariate models including either frCR or rCR. Results: A total of 48 patients were included in our study. Most patients (68.7%) were hormone receptor (HR)+ and 41.6% (20) of the patients achieved pCR. Using univariate logistic regression analyses we found that HR status, HER2 status, rCR and frCR had a significant impact on CEM diagnostic accuracy. Exploratory analyses found that CEM sensitivity was higher for HR- tumours. Multivariate logistic regression analyses found 60% sensitivity, 92.9% specificity and 79.2% accuracy in a model that included clinical variables and rCR. Conclusion: CEM is a reliable alternative to high-cost, time-consuming breast MRI that predicts pCR in patients undergoing NACT; CEM diagnostic accuracy was higher among patients who harboured HR- tumours.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Correlation of pathological complete response and radiological response with Contrast-enhanced mammography in breast cancer patients after neoadjuvant chemotherapy
    Llabres Valenti, Elisenda
    Antela Lopez, Jose Carlos
    Cejuela Solis, Monica
    Gomez de Liano, Alfonso
    Vega Benitez, Victor
    Pavcovich, Marta
    Jimenez Medina, Concepcion
    Aranda Sanchez, Joel Joselito
    Reyes Rodriguez, Isabel
    Cazorla Betancor, Manuel
    Galan Garcia, Maria Eugenia
    Tejera Hernandez, Ana Alicia
    Perez Correa, Pedro
    Junquera Rionda, Paula
    Ramchandani Vaswani, Avinash
    Vicente Rubio, Elena
    [J]. CANCER RESEARCH, 2021, 81 (04)
  • [2] Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer
    Zhang, Kun
    Lin, Jun
    Lin, Fan
    Wang, Zhongyi
    Zhang, Haicheng
    Zhang, Shijie
    Mao, Ning
    Qiao, Guangdong
    [J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2023, 31 (04) : 669 - 683
  • [3] Quantitative contrast-enhanced ultrasound evaluation of pathological complete response in patients with locally advanced breast cancer receiving neoadjuvant chemotherapy
    Wan, Cai-Feng
    Liu, Xue-Song
    Wang, Lin
    Zhang, Jie
    Lu, Jin-Song
    Li, Feng-Hua
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2018, 103 : 118 - 123
  • [4] Dynamic contrast-enhanced MRI texture analysis for pretreatment prediction of clinical and pathological response to neoadjuvant chemotherapy in patients with locally advanced breast cancer
    Teruel, Jose R.
    Heldahl, Mariann G.
    Goa, Pal E.
    Pickles, Martin
    Lundgren, Steinar
    Bathen, Tone F.
    Gibbs, Peter
    [J]. NMR IN BIOMEDICINE, 2014, 27 (08) : 887 - 896
  • [5] Clinical and pathological response to neoadjuvant chemotherapy with different chemotherapy regimens predicts the outcome of locally advanced breast cancer
    Tang, Shicong
    Wang, Ke
    Zheng, Kai
    Liu, Jiadong
    Zhang, Hengyu
    Tan, Mingjian
    Li, Hongwan
    Li, Huimeng
    Tan, Xin
    Liu, Dequan
    Guo, Rong
    [J]. GLAND SURGERY, 2020, 9 (05) : 1415 - +
  • [6] Evaluation of response to neoadjuvant chemoradiotherapy for locally advanced breast cancer with dynamic contrast-enhanced MRI of the breast
    Drew, PJ
    Kerin, MJ
    Mahapatra, T
    Malone, C
    Monson, JRT
    Turnbull, LW
    Fox, JN
    [J]. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY, 2001, 27 (07): : 617 - 620
  • [7] Dynamic Contrast-Enhanced MRI as a Predictor of Patient Outcome with Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer
    Li, S. P.
    Padhani, A. R.
    Taylor, N. J.
    Ah-See, M-L W.
    Beresford, M. J.
    Stirling, J. J.
    Stott, D.
    Collins, D. J.
    d'Arcy, J. A.
    Makris, A.
    [J]. CANCER RESEARCH, 2009, 69 (24) : 568S - 568S
  • [8] Contrast-enhanced MRI does not accurately predict pathologic complete response (pCR) after neoadjuvant chemotherapy in early or locally advanced breast cancer
    Gampenrieder, Simon P.
    Peer, Andreas
    Weismann, Christian
    Meissnitzer, Matthias
    Rinnerthaler, Gabriel
    Webhofer, Johanna
    Westphal, Theresa
    Popovscaia, Marina
    Meissnitzer, Thomas
    Reitsamer, Roland
    Hauser-Kronberger, Cornelia
    Egger, Heike
    Hergan, Klaus
    Mlineritsch, Brigitte
    Greil, Richard
    [J]. CANCER RESEARCH, 2018, 78 (04)
  • [9] Are there predictive factors for a pathological complete response after neoadjuvant chemotherapy in locally advanced breast cancer?
    Warm, M.
    Cramer, E-M
    Bosse, K.
    Moers, C.
    Thomas, A.
    Mallmann, P.
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2006, 100 : S154 - S154
  • [10] Contrast-Enhanced Spectral Mammography Assessment of Patients Treated with Neoadjuvant Chemotherapy for Breast Cancer
    Steinhof-Radwanska, Katarzyna
    Grazynska, Anna
    Lorek, Andrzej
    Gisterek, Iwona
    Barczyk-Gutowska, Anna
    Bobola, Agnieszka
    Okas, Karolina
    Lelek, Zuzanna
    Morawska, Irmina
    Potoczny, Jakub
    Niemiec, Pawel
    Szyluk, Karol
    [J]. CURRENT ONCOLOGY, 2021, 28 (05) : 3448 - 3462