Morphological MR features and quantitative ADC evaluation in invasive breast cancer: Correlation with prognostic factors

被引：13

作者：

Francesca, Boria ^{[1
]}

Corrado, Tagliati ^{[1
]}

Silvia, Baldassarre ^{[2
]}

Paola, Ercolani ^{[2
]}

Elisabetta, Marconi ^{[2
]}

Franca, Simonetti Barbara ^{[2
]}

Alfredo, Santinelli ^{[3
]}

Marco, Giuseppetti Gian ^{[4
]}

机构：

[1] Univ Politecn Marche, Postgrad Sch Diagnost Radiol, Ancona, Italy

[2] Univ Osped Riuniti Ancona, Azienda Osped, Dept Radiol Sci, Sect Clin Radiol, Ancona, Italy

[3] Univ Osped Riuniti Ancona, Univ Politecn Marche, Azienda Osped, Sect Pathol Anat & Histopathol,Deparment Neurosci, Ancona, Italy

[4] Univ Osped Riuniti Ancona, Univ Politecn Marche, Azienda Osped, Sect Clin Radiol,Dept Radiol Sci, Ancona, Italy

来源：

CLINICAL IMAGING | 2018年 / 50卷

关键词：

Breast cancer; MRI; ADC; Prognostic factors; APPARENT DIFFUSION-COEFFICIENT; MOLECULAR SUBTYPES; DUCTAL CARCINOMA; IMAGING FINDINGS; HER2; STATUS; DCE-MRI; LESIONS; VALUES; EXPRESSION;

D O I：

10.1016/j.clinimag.2018.02.011

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：

Objective: Assess the correlation between MRI characteristics of invasive breast cancer and tumor prognostic features. Materials and methods: 95 women with invasive breast cancer underwent pre-treatment MR. Morphological findings and quantitative ADC were retrospectively evaluated. Results: Smaller size, round shape, spiculated margins and homogeneous internal enhancement pattern on dynamic MRI were independently associated with established predictors of good prognosis, while larger size and rim enhancement pattern were related to predictors of poor prognosis. A positive correlation was observed between ADC value and clinical stage. Conclusions: MRI may be a useful tool for breast cancer aggressiveness prediction and for guiding subsequent clinical-therapeutic management.

引用

页码：141 / 146

页数：6

共 42 条

[1]

American College of Radiology, 2013, ACR BI RADS ATLAS

[2] Magnetic resonance (MR) features in triple negative breast cancer (TNBC) vs receptor positive cancer (nTNBC) [J].

Angelini, Giulia ;

Marini, Carolina ;

Iacconi, Chiara ;

Mazzotta, Dionisia ;

Moretti, Monica ;

Picano, Eugenia ;

Morganti, Riccardo .

CLINICAL IMAGING, 2018, 49 :12-16

[3]

Associazione Italiana di Oncologia Medica, 2016, LIN GUID NEOPL MAMM

[4] Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors [J].

Belli, Paolo ;

Costantini, Melania ;

Bufi, Enida ;

Giardina, Giuseppe Giovanni ;

Rinaldi, Pierluigi ;

Franceschini, Gianluca ;

Bonomo, Lorenzo .

RADIOLOGIA MEDICA, 2015, 120 (03) :268-276

[5] Breast lesions: Correlation of contrast medium enhancement patterns on MR images with histopathologic findings and tumor angiogenesis [J].

Buadu, LD ;

Murakami, J ;

Murayama, S ;

Hashiguchi, N ;

Sakai, S ;

Masuda, K ;

Toyoshima, S ;

Kuroki, S ;

Ohno, S .

RADIOLOGY, 1996, 200 (03) :639-649

[6] Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI [J].

Chang, Ruey-Feng ;

Chen, Hong-Hao ;

Chang, Yeun-Chung ;

Huang, Chiun-Sheng ;

Chen, Jeon-Hor ;

Lo, Chung-Ming .

MAGNETIC RESONANCE IMAGING, 2016, 34 (06) :809-819

[7] Magnetic Resonance Imaging of Breast Cancer and Correlation with Prognostic Factors [J].

Chang, Yun-Woo ;

Kwon, Kul Hyang ;

Choi, Deuk Lin ;

Lee, Dong Wha ;

Lee, Min Hyuk ;

Lee, Hye Kyung ;

Yang, Seung Boo ;

Kim, Yongbae ;

Seo, Dae Young .

ACTA RADIOLOGICA, 2009, 50 (09) :990-998

[8] Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer [J].

Cheang, Maggie C. U. ;

Chia, Stephen K. ;

Voduc, David ;

Gao, Dongxia ;

Leung, Samuel ;

Snider, Jacqueline ;

Watson, Mark ;

Davies, Sherri ;

Bernard, Philip S. ;

Parker, Joel S. ;

Perou, Charles M. ;

Ellis, Matthew J. ;

Nielsen, Torsten O. .

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2009, 101 (10) :736-750

[9] Optimization of apparent diffusion coefficient measured by diffusion-weighted MRI for diagnosis of breast lesions presenting as mass and non-mass-like enhancement [J].

Cheng, Liuquan ;

Bai, Yuhan ;

Zhang, Jing ;

Liu, Mei ;

Li, Xiru ;

Zhang, Ailiang ;

Zhang, Xiaojing ;

Ma, Lin .

TUMOR BIOLOGY, 2013, 34 (03) :1537-1545

[10] Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer [J].

Choi, S. Y. ;

Chang, Y-W ;

Park, H. J. ;

Kim, H. J. ;

Hong, S. S. ;

Seo, D. Y. .

BRITISH JOURNAL OF RADIOLOGY, 2012, 85 (1016) :E474-E479

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