ORIGINAL ARTICLE
Comparison of apparent diffusion coefficient in diffusion-weighted magnetic resonance imaging and morphological assessment of breast tumors
 
More details
Hide details
 
Publication date: 2017-02-10
 
 
Pol J Pathol 2016;67(4):398-403
 
KEYWORDS
ABSTRACT
The aim of the study was to assess the relationship between the apparent diffusion coefficient in diffusion-weighted magnetic (DWM) resonance imaging (MRI) and selected morphological parameters of the breast lesions. Diffusion-weighted imaging data and the pathology reports of 160 women treated surgically between January 2011 and March 2015 were analyzed. When classified, 107 invasive carcinomas, 13 pre-invasive carcinomas and 40 benign lesions were identified. The mean apparent diffusion coefficient was significantly lower for invasive carcinomas than benign lesions of the breast (0.87 ±0.02 vs. 1.58 ±0.04; p < 0.001). What is more there was an inverse correlation between value of apparent diffusion coefficient in diffusion-weighted magnetic resonance imaging and the grade of breast carcinomas (p = 0.04).
REFERENCES (23)
1.
Rubesova E, Grell AS, De Maertelaer V, et al. Quantitative diffusion imaging in breast cancer: A clinical prospective study. J Magn Reson Imaging 2006; 24: 319-324.
 
2.
Le Bihan D, Breton E, Lallemand D, et al. MR imaging of intravoxel incoherent motions: Application to diffusion and perfusion in neurologic disorders. Radiology 1986; 161: 401-407.
 
3.
Paran Y, Bendel P, Margalit R, Degani H. Water diffusion in the different microenvironments of breast cancer. NMR Biomed 2004; 17: 170-180.
 
4.
Malayeri AA, El Khouli RH, Zaheer A, et al. Principles and applications of diffusion-weighted imaging in cancer detection, staging, and treatment follow-up. Radiographics 2011; 31: 1773-1791.
 
5.
Orguc S, Basara I, Coskun T. Diffusion-weighted MR imaging of the breast: Comparison of apparent diffusion coefficient values of normal breast tissue with benign and malignant breast lesions. Singapore Med J 2012; 53: 737-743.
 
6.
Mann RM, Kuhl CK, Kinkel K, Boetes C. Breast MRI: Guidelines from the European Society of Breast Imaging. Euro Radiol 2008; 18: 1307-1318.
 
7.
Lakhani SR, Ellis IO, Schnitt SJ, Tan PH, van der Vijver MJ. WHO classification of tumours of the breast. IARC, Lyon 2012.
 
8.
Elston CW, Ellis IO. Method for grading breast cancer. J Clin Pathol 1993; 46: 189-190.
 
9.
Fitzgibbons PL, Page DL, Weaver D, et al. Prognostic factors in breast cancer. College of American Pathologists Consensus Statement 1999. Arch Pathol Lab Med 2000; 124: 966-978.
 
10.
Luo JD, Liu YY, Zhang XL, Shi LC. Application of diffusion weighted magnetic resonance imaging to differential diagnosis of breast diseases. Ai Zheng 2007; 26: 168-171 [Article in Chinese].
 
11.
Stack JP, Redmond OM, Codd MB, et al. Breast disease: Tissue characterization with Gd-DTPA enhancement profiles. Radiology 1990; 174: 491-494.
 
12.
Guo Y, Cai YQ, Cai ZL, et al. Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging 2002; 16: 172-178.
 
13.
Min Q, Shao K, Zhai L, et al. Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging. World J Surg Oncol 2015; 13: 32.
 
14.
Partain CL, Kulkarni MV, Price RR, et al. Magnetic resonance imaging of the breast: Functional T1 and three-dimensional imaging. Cardiovasc Intervent Radiol 1986; 8: 292-299.
 
15.
Delille JP, Slanetz PJ, Yeh ED, et al. Physiologic changes in breast magnetic resonance imaging during the menstrual cycle: Perfusion imaging, signal enhancement, and influence of the T1 relaxation time of breast tissue. Breast J 2005; 11: 236-241.
 
16.
Warner E. Impact of MRI surveillance and breast cancer detection in young women with BRCA mutations. Ann Oncol 2011; 22: 44-49.
 
17.
Noh JM, Han BK, Choi DH, et al. Association between BRCA mutation status, pathological findings, and magnetic resonance imaging features in patients with breast cancer at risk for the mutation. J Breast Cancer 2013; 16: 308-314.
 
18.
Cher DJ, Conwell JA, Mandel JS. MRI for detecting silicone breast implant rupture: Meta-analysis and implications. Ann Plast Surg 2001; 47: 367-380.
 
19.
Holbrook AI, Newell MS. Magnetic resonance imaging of the breast. Clin Obstet Gynecol 2016; 59: 394-402.
 
20.
Woodhams R, Matsunaga K, Kan S, et al. ADC mapping of benign and malignant breast tumors. Magn Reson Med Sci 2005; 4: 35-42.
 
21.
Mayrhofer RM, Ng HP, Putti TC, Kuchel PW. Magnetic resonance in the detection of breast cancers of different histological types. Magn Reson Insights 2013; 6: 33-49.
 
22.
Kuhl C. The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice. Radiology 2007; 244: 356-378.
 
23.
Kuhl C. The current status of breast MR imaging. Part I. Clinical applications. Radiology 2007; 244: 356-378.
 
eISSN:2084-9869
ISSN:1233-9687
Journals System - logo
Scroll to top