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Advances in the diagnostic values of DCE-MRI and DWI for breast cancer
GAO Cai-liang  YUE Tun  CAI Fu-ling  ZENG Wen-bing  WU Shan  GUAN Chuan-jiang  YANG Ran  WANG Ming-quan 

DOI:10.12015/issn.1674-8034.2016.03.014.


[Abstract] If breast disease can be detected early and made timely and accurate diagnosis, it can simultaneously reduce patient psychological, physical suffering. The value of dynamic contrast-enhanced magnetic resonance imaging and magnetic resonance diffusion weighted imaging in the diagnosis of breast lesions has drawn more and more attention, this paper reviewed the research progress on diagnosis of breast cancer.
[Keywords] Breast neoplasms；Magnetic resonance imaging；Diffusion magnetic resonance imaging

GAO Cai-liang Department of Radiology, Chongqing Three Gorges Central Hospital. Chongqing 404000, China

YUE Tun Department of Radiology, Chongqing Three Gorges Central Hospital. Chongqing 404000, China

CAI Fu-ling* Chongqing Three Gorges Medical College, Chongqing 404000, China

ZENG Wen-bing Department of Radiology, Chongqing Three Gorges Central Hospital. Chongqing 404000, China

WU Shan Chongqing Three Gorges Medical College, Chongqing 404000, China

GUAN Chuan-jiang Department of Radiology, Chongqing Three Gorges Central Hospital. Chongqing 404000, China

YANG Ran Department of Radiology, Chongqing Three Gorges Central Hospital. Chongqing 404000, China

WANG Ming-quan Department of Radiology, Chongqing Three Gorges Central Hospital. Chongqing 404000, China

*Correspondence to: Cai FL, E-mail: 332625851@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Chongqing three gorges medical college scientific research nursery project funding No: 2014mpxz17
Received  2015-12-27
Accepted  2016-01-23
DOI: 10.12015/issn.1674-8034.2016.03.014
DOI:10.12015/issn.1674-8034.2016.03.014.

[1]
Jemal A, Bray F, Center MM, et a1. Global cancer statistics. CA Cancer J Clin, 2011, 61(2): 69-90.
[2]
汪登斌. 乳腺MRI应用现状和我国乳腺MRI应用中存在的问题. 中华放射学杂志, 2014, 48(3): 177-179.
[3]
万芸, 陈树良, 田铁桥, 等. 乳腺MR T1WI动态增强与T2*WI首过灌注成像相结合对乳腺良恶性病变的鉴别诊断. 临床放射学杂志, 2012, 31(2): 184-187.
[4]
李敏, 金真, 李功杰, 等. 乳腺动态增强MRI参数与肿瘤血管的相关性及其鉴别诊断价值. 磁共振成像, 2010, 1(1): 36-42.
[5]
Lehman CD. Diffusion weighted imaging (DWI) of the breast: ready for clinical practice? Eur J Radiol, 2012, 81(1): S80-81.
[6]
Sharma U, Sah RG, Parshad R, et al. Role of apparent diffusion coefficient values for the differentiation of viable and necrotic areas of breast cancer and its potential utility to guide voxel positioning for MRS in the absence of dynamic contrast-enhanced MRI data. Magn Reson Imaging, 2012, 30(5): 649-655.
[7]
吴海龙, 龚良庚. 磁共振功能成像在乳腺肿瘤的应用进展. 临床放射学杂志, 2014, 33(10): 1616-1618.
[8]
Shafqat G, Agha A, Masror I, et al. Dynamic contrast enhanced MRI breast for lesion detection and characterization with histopathological corelation: preliminary experience at tertiary care hospital. J Pak Med Assoc, 2011, 61(3): 252-255.
[9]
Vincesini D, Dedieu V, Eliat PA, et al. Magnetic resonance imaging measurements of vascular permeability and extracellular volume fraction of breast tumors by dynamic Gd-DTPA-enhanced relaxometry. Magn Reson Imaging, 2007, 25(3): 293-302.
[10]
Takeda Y, Yoshikawa K. Contrast-enhanced dynamic MR imaging parameters and histological types of invasive ductal carcinoma of breast. Biom Phar, 2005, 59(3): 115-121.
[11]
郭勇, 蔡祖龙, 蔡幼铨, 等. 动态增强MRI鉴别乳腺良恶性病变的前瞻性研究. 中华放射学杂志, 2001, 35(9): 671-675.
[12]
Orel SG, Schnall MD. MR imaging of the breast for the detection, diagnosis, and staging of breast cancer. Radiology, 2001, 220(1): 13-30.
[13]
赵红兰, 刘颖, 程丽, 等. 3.0 T磁共振在乳腺成像中的应用. 中国CT和MRI杂志, 2009, 7(1):18-22.
[14]
El Khouli RH, Macura KJ, Jacobs MA, et al. Dynamic contrast-enhanced MRI of the breast: quantitative method for kinetic curve type assessment. AJR Am J Roentgenol, 2009, 193(4): W295-300.
[15]
张小安, 刘真真, 赵鑫, 等. 动态增强MRI结合DWI对乳腺病变性质的诊断价值. 实用放射学杂志, 2013, 29(4): 561-564.
[16]
张丽娜, 赵作伟, 宋清伟, 等. 应用计算机辅助诊断技术评价血流动力学特征在乳腺MRI中的价值．中华放射学杂志, 2012, 46(11): 998-1001.
[17]
李海歌, 刘斐, 韩晖云, 等. 动态增强磁共振多时相减影技术在常见乳腺肿瘤诊断中的应用．中华放射学杂志, 2013, 93(17): 1318-1320.
[18]
Peters NH, Borel Rinkes IH, Zuithoff NP, et al. Meta-analysis of MR imaging in the diagnosis of breast lesions. Radiology, 2008, 246(1):116-124.
[19]
周娟, 邢旭东, 李功杰, 等. 动态增强磁共振成像对新辅助化疗后乳腺癌残余病灶的术前评估．实用放射学杂志, 2012, 28(10): 1553-1556.
[20]
Li SP, Makris A, Beresford MJ, et al. Use of dynamic contrast-enhanced MR imaging to predict survival in patients with primary breast cancer undergoing neoadjuvant chemotherapy. Radiology, 2011, 260(1): 68-78.
[21]
Medeiros LR, Duarte CS, Rosa DD, et a1. Accuracy of magnetic resonance in suspicious breast lesions: a systematic quantitative review and meta-analysis. Breast Cancer Res Treat, 2011, 1(26): 273-285.
[22]
李瑞敏, 顾雅佳, 毛健, 等. 定量动态增强MRI鉴别乳腺良恶性病变的研究．中华放射学杂志, 2011, 45(2): 164-169.
[23]
Park SH, Choi HY, Hahn SY. Correlations between apparent diffusion coefficient values of invasive ductal carcinoma and pathologic factors on diffusion-weighted MRI at 3.0 Tesla. J Magn Reson Imaging, 2015, 41(1): 175-182.
[24]
Woodhams R, Matsunaga K, Kan S, et al. ADC mapping of benign and malignant breast tumors. Magn Reson Med Sci, 2005, 4(1): 35-42.
[25]
Lo GG, Ai V, Chan JK, et al. Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3 T. J Comput Assist Tomogr, 2009, 33(1): 63-69.
[26]
Tsushima Y, Takahashi-Taketomi A, Endo K. Magnetic resonance (MR) differential diagnosis of breast tumors using apparent diffusion coefficient (ADC) on 1.5 T. J Magn Reson Imaging, 2009, 30(2): 249-255.
[27]
Yoshikawa MI, Ohsumi S, Sugata S, et al. Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer. Radiat Med, 2008, 26(4): 222-226.
[28]
Koh DM, Padhani AR. Diffusion-weighted MRl: a new functional clinical technique for tumour imaging. Br J Radiol, 2006, 79(944): 633-635
[29]
Hatakenaka M, Soeda H, Yabuuchi H, et al. Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci, 2008, 7(1): 23-29.
[30]
Kuroki Y, Nasu K. Advances in breast MRI: diffusion-weighted imaging of the breast. Breast Cancer, 2008, 15(3): 212-217.
[31]
Costantini M, Belli P, Rinaldi P, et al. Diffusion-weighted imaging in breast cancer: relationship between apparent diffusion coefficient and tumor aggressiveness. Clin Radiol, 2010, 65(12): 1005-1012.
[32]
邓丹琼, 涂蓉, 尤小光, 等. 磁共振扩散加权成像ADC值与乳腺癌病理组织分级的相关性研究．临床放射学杂志, 2013, 32(10): 1428-1431.
[33]
王盈盈, 常晓丹, 付娇慧, 等. 乳腺浸润性导管癌3.0T MRI表现与预后因子相关性研究. 磁共振成像, 2014, 5(2): 132-137.
[34]
Chen X, Li WL, Zhang YL, et a1. Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions. BMC Cancer, 2010, 10: 693.
[35]
Sharma U, Danishad KK, Seenu V, et al. Longitudinal study of the assessmentby MRI and diuffsion-weighted imaging of tumor response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy. NMR Biomed, 2009, 22(1): 104-113.
[36]
Jenoen LR, Garzon B, Heldahl MG, et al. Diffusion-weighted and dynamic contrast-enhanced MRI in evaluation of early treatment effects during neoadjuvant chemotherapy in breast cancer patients. J Magn Reson Iaming, 2011, 34(5): 1099-1109.
[37]
Shin HJ, Baek HM, Ahn JH, et al. Prediction of pathologic response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and MRS. NMR Biomed, 2012, 25(12): 1349-59.
[38]
高影, 程流泉, 刘梅, 等. MRI对局部进展期乳腺癌新辅助化疗早期疗效评价. 中国医学影像学杂志, 2012, 20(5): 321-324.
[39]
Atuegwu NC, Arlinghaus LR, Li X, et al. Parameterizing the Logistic Model of Tumor Growth by DW-MRI and DCE-MRI Data to Predict Treatment Response and Changes in Breast Cancer Cellularity during Neoadjuvant Chemotherapy. Transl Oncol, 2013, 6(3): 256-264.
[40]
赵斌, 蔡世蜂, 高佩虹, 等. MR扩散加权成像鉴别乳腺良恶性病变的研究. 中华放射学杂志, 2005, 39(5): 497-450.
[41]
Imamura T, Isomoto I, Sueyoshi E, et al. Diagnostic performance of ADC for non-mass-like breast lesion on MR imaging. Magn Reson Med Sci, 2010, 9(4): 217-225.
[42]
Martincich L, Deantoni V, Bertotto I, et al. Correlations between diffusion-weighted imaging and breast cancer biomarkers. Eur Radiol, 2012, 22(7): 1519-1528.
[43]
王远梅, 陈昌毅, 汪卫兵, 等. MRI扩散加权成像对乳腺良恶性病变的诊断. 放射学实践, 2012, 27(6): 616-619.
[44]
Ei Khouli RH, Jacobs MA, Mezban SD, et al. Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging. Radioiogy, 2010, 256(1): 64-73.
[45]
Yuen S, Yamada K, Goto M, et al. Microperfusion-induced elevation of ADC is suppressed after contrast in breast carcinoma. J Magn Reson Imaging, 2009, 29(5): 1080-1084.
[46]
Hirano M, Satake H, Ishigaki S, et al. Diffusion-weighted imaging of breast masses: comparison of diagnostic performance using various apparent diffusion coefficient parameters. AJR Am J Roentgenol, 2012, 198(3): 717-722.
[47]
Imamura T, Isomoto I, Sueyoshi E, et a1. Diagnostic performance of ADC for non-mass-like breast lesion on MR imaging. Magn Reson Med Sci, 2010, 9: 217-225.
[48]
王云兰, 张蓓. 乳腺MR T2*W首次通过灌注成像方法及价值探讨. 实用放射学杂志, 2009, 25(5): 705-708.
[49]
Yabuuchi H, Matsuo Y, Kamitani T, et al. Non-mass-like enhancement on contrast-enhanced breast MR imaging: lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images. Eur J Radiol, 2010, 75(1): 126-132.
[50]
张培平, 邱维加, 戴文海, 等. MRI动态增强曲线结合DWI对乳腺癌的诊断价值. 放射学实践, 2011, 26(9): 957-960.
[51]
王永杰, 金彪, 张海兵, 等. MR动态增强与扩散加权序列在乳腺良恶性肿瘤鉴别诊断中的价值．中国临床医学影像杂志, 2010, 21(7): 505-509.
[52]
Yabuuchi H, Matsuo Y, Okafuji T, et al. Enhanced mass on contrast-enhanced breast MR imaging: lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images. J Magn Reson Imaging, 2008, 28(5): 1157-1165.
[53]
姜军，詹新恩，柳凤轩．乳腺导管不典型增生与癌变的关系.肿瘤防治研究, 1990, 17(3): 133-135.

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