Association between MRI Features and Standardized Uptake Value of 18F-FDG PET/CT in Triple-Negative Breast Cancer

被引:9
作者
Choi, Bo Bae [1 ]
Lee, Jin Sun [2 ]
Kim, Kun Ho [3 ]
机构
[1] Chungnam Univ Hosp, Dept Radiol, 282 Munhwa Ro, Daejeon 35015, South Korea
[2] Chungnam Univ Hosp, Dept Surg, 282 Munhwa Ro, Daejeon 35015, South Korea
[3] Chungnam Univ Hosp, Dept Nucl Med, Daejeon, South Korea
关键词
Magnetic resonance imaging; Breast cancers; Positron emission tomography; Ultrasound; PATHOLOGICAL PROGNOSTIC-FACTORS; IMAGING FEATURES; ESTROGEN-RECEPTOR; RECURRENCE; CARCINOMA;
D O I
10.1159/000492341
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Triple-negative breast cancer (TNBC) is a breast cancer subgroup that lacks the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Certain magnetic resonance imaging (MRI) features of TNBC might reflect the poor prognosis of TNBC. Standardized uptake value (SUV) of [F-18]fluorodeoxyglucose positron emission tomography/computed tomography is 1 of predictive prognostic factors for breast cancer. The purpose of this study was to correlate MRI features of TNBC with SUVmax to determine whether MRI findings in TNBC could be helpful for predicting prognosis. Methods: We analyzed MRI findings of TNBC according to breast imaging reporting and data system (BI-RADS) MRI lexicon. We also assessed intratumoral high signal intensity on T2-weighted MRI, time-intensity curve analysis and peritumoral edema. The relationship between MRI features of TNBC and SUVmax was then statistically analyzed. Results: Significant correlations of SUVmax with the internal enhancement pattern, intratumoral high signal intensity on T2-weighted images, and peritumoral edema were noted. There was no significant correlation of SUVmax with mass shape, margin, or kinetics. Conclusion: Certain MRI features of TNBC such as heterogeneous or rim enhancement, intratumoral very high signal intensity on T2 images, and peritumoral edema might be useful in predicting the prognosis of patients with TNBC.
引用
收藏
页码:706 / 711
页数:6
相关论文
共 27 条
[1]  
Ahn SG, 2013, J CLIN ONCOL, V31
[2]   18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG-PET/CT) Imaging in the Staging and Prognosis of Inflammatory Breast Cancer [J].
Alberini, Jean-Louis ;
Lerebours, Florence ;
Wartski, Myriam ;
Fourme, Emmanuelle ;
Le Stanc, Elise ;
Gontier, E. ;
Madar, O. ;
Cherel, P. ;
Pecking, A. P. .
CANCER, 2009, 115 (21) :5038-5047
[3]   Pretreatment MR Imaging Features of Triple-Negative Breast Cancer: Association with Response to Neoadjuvant Chemotherapy and Recurrence-Free Survival [J].
Bae, Min Sun ;
Shin, Sung Ui ;
Ryu, Han Suk ;
Han, Wonshik ;
Im, Seock-Ah ;
Park, In-Ae ;
Noh, Dong-Young ;
Moon, Woo Kyung .
RADIOLOGY, 2016, 281 (02) :392-400
[4]   Comparison of triple-negative and estrogen receptor-positive/progesterone receptor-positive/HER2-negative breast carcinoma using quantitative fluorine-18 fluorodeoxyglucose/positron emission tomography imaging parameters [J].
Basu, Sandip ;
Chen, Wengen ;
Tchou, Julia ;
Mavi, Ayse ;
Cermik, Tevfik ;
Czerniecki, Brian ;
Schnall, Mitchell ;
Alavi, Abass .
CANCER, 2008, 112 (05) :995-1000
[5]   Triple-Negative and Non-Triple-Negative Invasive Breast Cancer: Association between MR and Fluorine 18 Fluorodeoxyglucose PET Imaging [J].
Bolouri, Marjan S. ;
Elias, Sjoerd G. ;
Wisner, Dorota J. ;
Behr, Spencer C. ;
Hawkins, Randall A. ;
Suzuki, Sachiko A. ;
Banfield, Krysta S. ;
Joe, Bonnie N. ;
Hylton, Nola M. .
RADIOLOGY, 2013, 269 (02) :353-360
[6]   Immunohistochemical detection using the new rabbit monoclonal antibody SP1 of estrogen receptor in breast cancer is superior to mouse monoclonal antibody 1D5 in predicting survival [J].
Cheang, Maggie C. U. ;
Treaba, Diana O. ;
Speers, Caroline H. ;
Olivotto, Ivo A. ;
Bajdik, Chris D. ;
Chia, Stephen K. ;
Goldstein, Lynn C. ;
Gelmon, Karen A. ;
Huntsman, David ;
Gilks, C. Blake ;
Nielsen, Torsten O. ;
Gown, Allen M. .
JOURNAL OF CLINICAL ONCOLOGY, 2006, 24 (36) :5637-5644
[7]   Triple-negative breast cancer: MRI features in 29 patients [J].
Chen, J. -H. ;
Agrawal, G. ;
Feig, B. ;
Baek, H. -M. ;
Carpenter, P. M. ;
Mehta, R. S. ;
Nalcioglu, O. ;
Su, M. -Y. .
ANNALS OF ONCOLOGY, 2007, 18 (12) :2042-2043
[8]   Magnetic Resonance Imaging Features in Triple-Negative Breast Cancer: Comparison With Luminal and HER2-Overexpressing Tumors [J].
Costantini, Melania ;
Belli, Paolo ;
Distefano, Daniela ;
Bufi, Enida ;
Di Matteo, Marialuisa ;
Rinaldi, Pierluigi ;
Giuliani, Michela ;
Petrone, Gianluigi ;
Magno, Stefano ;
Bonomo, Lorenzo .
CLINICAL BREAST CANCER, 2012, 12 (05) :331-339
[9]  
D'Orsi CJ, 2013, BREAST IM REP DAT SY, DOI [10.1016/j.diii.2017.01.001, DOI 10.1016/J.DIII.2017.01.001]
[10]   Imaging of triple-negative breast cancer [J].
Dogan, B. E. ;
Turnbull, L. W. .
ANNALS OF ONCOLOGY, 2012, 23 :23-29