Literature DB >> 22570219

Discrimination of axillary metastatic from nonmetastatic lymph nodes with PROPELLER diffusion-weighted MR imaging in a metastatic breast cancer model and its correlation with cellularity.

Wang Junping1, Si Tongguo, Zhang Yunting, Yu Chunshui, Bai Renju.   

Abstract

PURPOSE: To assess the accuracy of apparent diffusion coefficient (ADC) in the differentiation of axillary metastatic from nonmetastatic lymph nodes in rabbits with metastatic breast cancer and to determine the relationship between the ADC and the cellularity of axillary lymph nodes of two different types.
MATERIALS AND METHODS: The axillary lymph node models were created by inoculating VX2 cell suspensions in the mammary glands of 30 female rabbits. Conventional MR imaging and multi-shot fast-spin-echo PROPELLER DW imaging were performed approximately 4 weeks after successful inoculation. Images of axillary lymph nodes were analyzed with regard to size and ADC. Differences in the forementioned criteria between the two types of lymph nodes were assessed with reference to histopathologic findings. Cellularity was correlated with the ADC in all selected axillary lymph nodes.
RESULTS: A total of 41 axillary metastatic and 29 inflammatory lymph nodes were successfully isolated. The size-based criteria showed no significant difference between the malignant and inflammatory lymph nodes (Ps > 0.05); however, the ADC of metastatic nodes was significantly lower than that of inflammatory nodes (P < 0.001). There was a significant inverse correlation between the ADC and cellularity (r = -0.674; P < 0.001) regardless of their different tissue types.
CONCLUSION: DW imaging is a new promising functional technique for differentiating metastatic from inflammatory lymph nodes. Furthermore, cellularity has a significant influence on the ADC in both malignant and benign lymph nodes.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22570219     DOI: 10.1002/jmri.23695

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  13 in total

1.  Comparative study of image quality between axial T2-weighted BLADE and turbo spin-echo MRI of the upper abdomen on 3.0 T.

Authors:  Lin Zhang; ChunMei Tian; PeiYuan Wang; Liang Chen; XiJin Mao; ShanShan Wang; Xu Wang; JingMin Dong; Bin Wang
Journal:  Jpn J Radiol       Date:  2015-08-02       Impact factor: 2.374

2.  Dynamic contrast-enhanced MR in the diagnosis of lympho-associated benign and malignant lesions in the parotid gland.

Authors:  Ling Zhu; Chunye Zhang; Yi Hua; Jie Yang; Qiang Yu; Xiaofeng Tao; Jiawei Zheng
Journal:  Dentomaxillofac Radiol       Date:  2016-02-05       Impact factor: 2.419

3.  Discrimination of Malignant versus Benign Mediastinal Lymph Nodes Using Diffusion MRI with an IVIM Model.

Authors:  Li-Ping Qi; Wan-Pu Yan; Ke-Neng Chen; Zheng Zhong; Xiao-Ting Li; Kejia Cai; Ying-Shi Sun; Xiaohong Joe Zhou
Journal:  Eur Radiol       Date:  2017-09-19       Impact factor: 5.315

4.  Benign and malignant enlarged chest nodes staging by diffusion-weighted MRI: an alternative to mediastinoscopy?

Authors:  Monica Sigovan; Pia Akl; Caroline Mesmann; Francois Tronc; Salim Si-Mohamed; Philippe Douek; Loic Boussel
Journal:  Br J Radiol       Date:  2017-12-18       Impact factor: 3.039

5.  Influence of blade width and magnetic field strength on the ADC on PROPELLER DWI in head and neck.

Authors:  Tetsuo Sumikawa; Hidetake Yabuuchi; Chiharu Sumikawa; Yoshiteru Nakashima; Gouji Miura
Journal:  Neuroradiol J       Date:  2019-08-13

6.  Lymphatic Transport and Lymph Node Location of Microspheres Subcutaneously Injected in the Vicinity of Tumors in a Rabbit Model of Breast Cancer.

Authors:  Florentina Pascale; Laurent Bédouet; Afchine Fazel; Julien Namur; Saida Homayra Ghegediban; Isabelle Schwartz Cornil; Michel Wassef; Laurence Moine; Alexandre Laurent
Journal:  Pharm Res       Date:  2018-08-15       Impact factor: 4.200

7.  Suspicious axillary lymph nodes identified on clinical breast MRI in patients newly diagnosed with breast cancer: can quantitative features improve discrimination of malignant from benign?

Authors:  Habib Rahbar; Jane L Conlin; Sana Parsian; Wendy B DeMartini; Sue Peacock; Constance D Lehman; Savannah C Partridge
Journal:  Acad Radiol       Date:  2014-12-06       Impact factor: 3.173

8.  Apparent Diffusion Coefficient Measurement in Mediastinal Lymphadenopathies: Differentiation between Benign and Malignant Lesions.

Authors:  Fethi Emre Ustabasioglu; Cesur Samanci; Deniz Alis; Nilay Sengul Samanci; Osman Kula; Deniz Cebi Olgun
Journal:  J Clin Imaging Sci       Date:  2017-03-06

Review 9.  The Diagnosis of Metastatic Axillary Lymph Nodes of Breast Cancer By Diffusion Weighted Imaging: a meta-analysis and systematic review.

Authors:  Wei Fan Sui; Xiang Chen; Zhen Kun Peng; Jing Ye; Jing Tao Wu
Journal:  World J Surg Oncol       Date:  2016-06-02       Impact factor: 2.754

10.  Breast Magnetic Resonance Imaging for Assessment of Internal Mammary Lymph Node Status in Breast Cancer.

Authors:  Hyung Won Lee; Sung Hun Kim
Journal:  J Breast Cancer       Date:  2016-06-24       Impact factor: 3.588

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