Breast Cancer: Influence of Taxanes on Response Assessment with Dynamic Contrast-enhanced MR Imaging

被引:38
|
作者
Schrading, Simone [1 ]
Kuhl, Christiane K. [1 ]
机构
[1] Univ Aachen, Dept Diagnost & Intervent Radiol, Pauwelsstr 30, D-52074 Aachen, Germany
关键词
NEOADJUVANT CHEMOTHERAPY; PATHOLOGICAL RESPONSE; PREOPERATIVE CHEMOTHERAPY; DIAGNOSTIC PERFORMANCE; PREMENOPAUSAL WOMEN; TUMOR RESPONSE; PREDICTION; AMENORRHEA; ACCURACY; PACLITAXEL;
D O I
10.1148/radiol.2015150006
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 prospectively investigate the influence of taxane-containing neoadjuvant chemotherapy (T-NACT) versus non-taxane-containing NACT (NT-NACT) on the contrast material enhancement of breast cancers, benign enhancing lesions (BELs), and background parenchymal enhancement (BPE) at dynamic contrast-enhanced magnetic resonance (MR) imaging. Materials and Methods: This institutional review board-approved study was performed in 62 patients with invasive breast cancer who underwent multiagent NACT with (n = 49) or without (n = 13) taxanes between 2008 and 2011. Written informed consent was obtained. Patients underwent dynamic contrast-enhanced MR imaging according to a standardized protocol before and 2 weeks after completing NACT. The percentage reduction of enhancement of breast cancers, BELs, and BPEs was calculated for patients undergoing NT-NACT versus those undergoing T-NACT. Final surgical pathologic results served as standard of reference. Changes in mean enhancement of breast cancers, BELs, and BPEs between the regimens were compared by using the Student t test for unpaired samples; for intraindividual comparison, the Student t test for paired samples was used. Results: Similar rates of complete pathologic response were observed after T-NACT and NT-NACT (28 [57.2%] of 49 vs eight [61.5%] of 13). T-NACT was associated with an almost complete suppression of enhancement in not only breast cancers but also BELs and BPE in the same patients, with an average reduction of enhancement of -89.9% +/- 9.3, -90.2% +/- 11.8, and -91.2% +/- 7.5, respectively. After T-NACT, cancers with partial (n = 21) or complete (n = 28) pathologic response exhibited a similar reduction of enhancement (-81.8% +/- 17.5 vs -93.9% +/- 2.3; P = .22). The reduction of enhancement of cancers after NT-NACT was significantly less pronounced than that after T-NACT (-41.1% +/- 22.8 vs 88.1% +/- 13.9; P < .0001), and effects on enhancement of BELs and BPE were significantly less pronounced compared with effects on enhancement of cancers in the same women (P,.0001). MR imaging led to an overestimation of response (yielded false-negative results for residual disease) in 66.7% (14 of 21) of patients after T-NACT, versus in 20% (one of five) of patients after NT-NACT. Conclusion: The reduction of enhancement observed in breast cancers after T-NACT is, in part, unrelated to their oncologic response. MR imaging-detectable effects of taxanes represent a combination of specific antimitotic and nonspecific antian-giogenic effects. This impacts the accuracy with which dynamic contrast-enhanced MR imaging helps predict complete pathologic response to T-NACT. (C) RSNA, 2015
引用
收藏
页码:687 / 696
页数:10
相关论文
共 50 条
  • [1] Dynamic Contrast-Enhanced Breast MR Imaging
    Moon, Marianne
    Cornfeld, Daniel
    Weinreb, Jeffrey
    MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA, 2009, 17 (02) : 351 - +
  • [2] Dynamic contrast-enhanced MR imaging in cancer
    O'Connor, James P. B.
    Watson, Yvonne
    Jackson, Alan
    RADIOGRAPHY, 2007, 13 : E45 - E53
  • [3] Breast cancer in dense breast: Detection with contrast-enhanced dynamic MR imaging
    Kawashima, H
    Matsui, O
    Suzuki, M
    Kadoya, M
    Tawara, M
    Nonomura, A
    Noguchi, M
    Takashima, T
    JMRI-JOURNAL OF MAGNETIC RESONANCE IMAGING, 2000, 11 (03): : 233 - 243
  • [4] Reproducibility of Dynamic Contrast-enhanced MR Imaging Response
    Heye, Tobias J.
    Boll, Daniel T.
    RADIOLOGY, 2013, 269 (02) : 621 - 621
  • [5] Tumor Heterogeneity in Lung Cancer: Assessment with Dynamic Contrast-enhanced MR Imaging
    Yoon, Soon Ho
    Park, Chang Min
    Park, Sang Joon
    Yoon, Jeong-Hwa
    Hahn, Seokyung
    Goo, Jin Mo
    RADIOLOGY, 2016, 280 (03) : 940 - 948
  • [6] Use of Dynamic Contrast-Enhanced MR Imaging To Predict Pathological Response in Primary Breast Cancer.
    Boni, V.
    Pina, L. J.
    Hernando, B.
    Lopez-Vega, J. M.
    Calvo, E. G.
    Plazaola, A.
    Morales, S.
    Anton, A.
    Sanchez-Gomez, R. M.
    Alvarez, I.
    Illarramendi, J. J.
    De Juan, A.
    Martinez, P.
    Llombart, A.
    La Huerta, A.
    Dominguez, I.
    Garcia-Velloso, M. J.
    Garcia-Gonzalez, M.
    Lao, Romera J.
    Puertolas, T.
    Scherer, S.
    Sabariz, L.
    Garcia-Foncillas, J.
    CANCER RESEARCH, 2011, 71
  • [7] Assessment of Renal Function with Dynamic Contrast-Enhanced MR Imaging
    Bokacheva, Louisa
    Rusinek, Henry
    Zhang, Jeff L.
    Lee, Vivian S.
    MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA, 2008, 16 (04) : 597 - +
  • [8] Contrast-enhanced MR imaging as a prognostic indicator of breast cancer
    Boné, B
    Aspelin, P
    Bronge, L
    Veress, B
    ACTA RADIOLOGICA, 1998, 39 (03) : 279 - 284
  • [9] Dynamic Contrast-Enhanced MR Imaging in Head and Neck Cancer
    Kabadi, Suraj J.
    Fatterpekar, Girish M.
    Anzai, Yoshimi
    Mogen, Jonathan
    Hagiwara, Mari
    Patel, Sohil H.
    MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA, 2018, 26 (01) : 135 - +
  • [10] Quantitative Analysis of Clinical Dynamic Contrast-enhanced MR Imaging for Evaluating Treatment Response in Human Breast Cancer
    Yu, Yanming
    Jiang, Quan
    Miao, Yanwei
    Li, Jun
    Bao, Shanglian
    Wang, Haoyu
    Wu, Chunxue
    Wang, Xiaoying
    Zhu, Jiong
    Zhong, Yi
    Haacke, E. Mark
    Hu, Jiani
    RADIOLOGY, 2010, 257 (01) : 47 - 55