Literature DB >> 16866570

Comparison of choline and pharmacokinetic parameters in breast cancer measured by MR spectroscopic imaging and dynamic contrast enhanced MRI.

Min-Ying Su1, Hyun-Man Baik, Hon J Yu, Jeon-hor Chen, Rita S Mehta, Orhan Nalcioglu.   

Abstract

Although an MRI scanner is a single stand-alone modality, different acquisition techniques may be applied to collect structural and functional information, including vascular or angiogenic properties measured by dynamic contrast enhanced MRI (DCE-MRI) and Choline (Cho) metabolism measured by proton MR spectroscopy imaging (MRSI). They may provide complementary information for a better characterization of neoplasm. In this study, we investigated the correlation between Choline measured by MRSI and vascular parameters measured by DCE-MRI in breast cancer. Fourteen patients with histologically proven invasive breast cancer were included. MRSI from a grid of 8 x 8 voxels within a selected slab from each lesion was performed. Each voxel was 1.0 x 1.0 x 1.2 cm3. Choline signal-to-noise ratio (SNR) was measured from each voxel showing an identifiable Choline peak. Corresponding DCE kinetics was measured from each voxel, and analyzed with a 2-compartmental model to obtain pharmacokinetic parameters Ktrans and k(ep). All parameters showed a wide variation within each lesion, and there were no consistent correlations between regional Cho and DCE parameters within the lesion of each individual patient. This finding might be attributed to the heterogeneous nature of breast cancer. The characteristic Cho and DCE-MRI parameters were obtained for each patient by averaging over all Cho-positive voxels. In these 14 patients there was a significant linear correlation between Cho with percent enhancement at 2 min after injection, SE%-2min (r = 0.75, p = 0.002), and pharmacokinetic parameters Ktrans (r = 0.74, p = 0.003), and k(ep) (r = 0.76, p = 0.002). The results suggested that overall there is a correlation between Choline metabolism and angiogenesis activity. Since Choline is associated with cell replication and angiogenesis is required to support tumor growth, this might explain the correlation between these two sets of measures among different lesions.

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Year:  2006        PMID: 16866570

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  13 in total

1.  The added value of quantitative multi-voxel MR spectroscopy in breast magnetic resonance imaging.

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2.  MR Spectroscopy in the diagnosis and treatment of breast cancer.

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Journal:  Semin Breast Dis       Date:  2008-06-01

Review 3.  Metabolite quantification and high-field MRS in breast cancer.

Authors:  Ihab S Haddadin; Adeka McIntosh; Sina Meisamy; Curt Corum; Angela L Styczynski Snyder; Nathaniel J Powell; Michael T Nelson; Douglas Yee; Michael Garwood; Patrick J Bolan
Journal:  NMR Biomed       Date:  2009-01       Impact factor: 4.044

4.  Molecular Imaging in Breast Cancer - Potential Future Aspects.

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Journal:  Breast Care (Basel)       Date:  2011-04-29       Impact factor: 2.860

5.  In vivo post-contrast 1H-MRS evaluation of malignant and benign breast lesions: a meta-analysis.

Authors:  Jieying Tan; Li Xu; Wenqing Yao; Yun Wan; Shuqin Zhou; Sherman Xuegang Xin
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6.  DCE-MRI detects early vascular response in breast tumor xenografts following anti-DR5 therapy.

Authors:  Hyunki Kim; Karri D Folks; Lingling Guo; Cecil R Stockard; Naomi S Fineberg; William E Grizzle; James F George; Donald J Buchsbaum; Desiree E Morgan; Kurt R Zinn
Journal:  Mol Imaging Biol       Date:  2011-02       Impact factor: 3.488

7.  A high spatial resolution in vivo 1H magnetic resonance spectroscopic imaging technique for the human breast at 3 T.

Authors:  Jiani Hu; Wenzheng Feng; Jia Hua; Quan Jiang; Yang Xuan; Tao Li; E Mark Haacke
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

8.  Clinical characteristics and biomarkers of breast cancer associated with choline concentration measured by 1H MRS.

Authors:  J-H Chen; R S Mehta; H-M Baek; K Nie; H Liu; M Q Lin; H J Yu; O Nalcioglu; M-Y Su
Journal:  NMR Biomed       Date:  2010-09-22       Impact factor: 4.044

Review 9.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

10.  Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer.

Authors:  Juan Huang; Jianqun Yu; Yulan Peng
Journal:  Oncol Lett       Date:  2016-04-07       Impact factor: 2.967

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