Literature DB >> 14696222

Proton magnetic resonance spectroscopic imaging of human breast cancer: a preliminary study.

Michael A Jacobs1, Peter B Barker, Paul A Bottomley, Zaver Bhujwalla, David A Bluemke.   

Abstract

PURPOSE: To investigate the diagnostic value of proton magnetic resonance spectroscopic imaging (MRSI) in patients with breast lesions.
MATERIALS AND METHODS: Eighteen patients underwent breast MRSI and MRI at 1.5 T. Contrast-enhanced MR was used to identify the lesion, after which single-slice MRSI (TR/TE = 2000/272 msec, 10-mm slice thickness) was performed. Water, lipid, and choline (Cho) images were reconstructed from MRSI data. The area of the Cho was measured in the lesion and expressed relative to the background noise level (signal-to-noise ratio (SNR)), measured between 7.0 and 9.0 ppm. Cho SNRs were compared between benign and malignant lesions as determined by histopathology.
RESULTS: Three cases were considered technical failures on MRSI. Of the remaining 15 cases, on histopathology, eight were classified as malignant carcinoma and seven were benign. The Cho SNR from malignant tissue was significantly elevated compared to benign tissue (6.2 +/- 2.1 vs. 2.4 +/- 0.7, P < 0.0008).
CONCLUSIONS: MRSI measurements of Cho are feasible in the human breast, and the SNR for Cho was significantly different between benign and malignant lesions. The potential advantages of MRSI over SV spectroscopy include the ability to assess multiple lesions as well as tissue with normal MRI appearance, as well as to perhaps gauge lesion borders and infiltration into surrounding tissue. Copyright 2003 Wiley-Liss, Inc.

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Year:  2004        PMID: 14696222     DOI: 10.1002/jmri.10427

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


  57 in total

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

Authors:  M D Dorrius; R M Pijnappel; M C van der Weide Jansen; L Jansen; P Kappert; M Oudkerk; P E Sijens
Journal:  Eur Radiol       Date:  2011-11-11       Impact factor: 5.315

2.  Metabolite detection of pancreatic carcinoma by in vivo proton MR spectroscopy at 3T: initial results.

Authors:  X Yao; M Zeng; H Wang; S Fei; S Rao; Y Ji
Journal:  Radiol Med       Date:  2011-11-17       Impact factor: 3.469

3.  Diffusion-Weighted Imaging-guided MR Spectroscopy in Breast Lesions using Readout-Segmented Echo-Planar Imaging.

Authors:  Kun Sun; Weimin Chai; Caixia Fu; Ying Zhan; Kunwei Shen; Xianfu Luo; Fuhua Yan
Journal:  Eur Radiol       Date:  2015-09-19       Impact factor: 5.315

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

Authors:  Michael T Nelson; Lenore I Everson; Michael Garwood; Tim Emory; Patrick J Bolan
Journal:  Semin Breast Dis       Date:  2008-06-01

5.  A high spatial resolution 1H magnetic resonance spectroscopic imaging technique for breast cancer with a short echo time.

Authors:  Jiani Hu; Yingjian Yu; Zhifeng Kou; Wei Huang; Quan Jiang; Yang Xuan; Tao Li; Vivek Sehgal; Cassann Blake; E Mark Haacke; Renate L Soulen
Journal:  Magn Reson Imaging       Date:  2007-09-27       Impact factor: 2.546

Review 6.  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

Review 7.  Breast cancer imaging: a perspective for the next decade.

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

Review 8.  Clinical applications of metabolomics in oncology: a review.

Authors:  Jennifer L Spratlin; Natalie J Serkova; S Gail Eckhardt
Journal:  Clin Cancer Res       Date:  2009-01-15       Impact factor: 12.531

9.  Estrogen receptor and breast MR imaging features: a correlation study.

Authors:  Jeon-Hor Chen; Hyeon-Man Baek; Orhan Nalcioglu; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

Review 10.  Diffusion-weighted imaging with apparent diffusion coefficient mapping and spectroscopy in prostate cancer.

Authors:  Michael A Jacobs; Ronald Ouwerkerk; Kyle Petrowski; Katarzyna J Macura
Journal:  Top Magn Reson Imaging       Date:  2008-12
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