Literature DB >> 26724927

In vivo MR spectroscopy of human breast tissue: quantification of fatty acid composition at a clinical field strength (3 T).

Amandine Coum1,2, Lobna Ouldamer3,4,5, Fanny Noury6,7, Laurent Barantin5,8, Aymeric Saint-Hilaire9, Anne Vilde9, Philippe Bougnoux4,5,10, Giulio Gambarota6,7.   

Abstract

OBJECTIVE: To evaluate the feasibility of in vivo measurement of the fatty acid (FA) composition of breast adipose tissue by MRS on a clinical platform.
MATERIAL AND METHODS: MRS experiments were performed at 3 T, using a STEAM sequence, on 25 patients diagnosed with breast cancer. MR spectra, acquired on healthy breast tissue, were analysed with the LCModel.
RESULTS: The measured values of the saturated fatty acid (SFA), mono-unsaturated fatty acid (MUFA) and poly-unsaturated fatty acid (PUFA) fractions were 23.8 ± 7.1%, 55.4 ± 6.8% and 20.8 ± 4.4%, respectively. The values of SFA, MUFA and PUFA observed in the current study are in the same range as those found in two previous studies performed at 7 T.
CONCLUSION: The results of the current study show that it is possible to quantify the fatty acid composition of breast tissue in vivo in a clinical setting (3 T).

Entities:  

Keywords:  Breast cancer; Fatty acid; MRS; Quantification

Mesh:

Substances:

Year:  2016        PMID: 26724927     DOI: 10.1007/s10334-015-0506-3

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  12 in total

1.  Volume-localized two-dimensional correlated magnetic resonance spectroscopy of human breast cancer.

Authors:  M A Thomas; N Binesh; K Yue; N DeBruhl
Journal:  J Magn Reson Imaging       Date:  2001-08       Impact factor: 4.813

2.  In vivo determination of human breast fat composition by ¹H magnetic resonance spectroscopy at 7 T.

Authors:  Ivan E Dimitrov; Deborah Douglas; Jimin Ren; Nadine B Smith; Andrew G Webb; A Dean Sherry; Craig R Malloy
Journal:  Magn Reson Med       Date:  2011-06-07       Impact factor: 4.668

3.  Characterization of neoplastic and normal human breast tissues with in vivo (1)H MR spectroscopy.

Authors:  K A Kvistad; I J Bakken; I S Gribbestad; B Ehrnholm; S Lundgren; H E Fjøsne; O Haraldseth
Journal:  J Magn Reson Imaging       Date:  1999-08       Impact factor: 4.813

4.  Human breast lesions: characterization with contrast-enhanced in vivo proton MR spectroscopy--initial results.

Authors:  D K Yeung; H S Cheung; G M Tse
Journal:  Radiology       Date:  2001-07       Impact factor: 11.105

5.  Composition of adipose tissue and marrow fat in humans by 1H NMR at 7 Tesla.

Authors:  Jimin Ren; Ivan Dimitrov; A Dean Sherry; Craig R Malloy
Journal:  J Lipid Res       Date:  2008-05-28       Impact factor: 5.922

6.  Human breast lesions: characterization with proton MR spectroscopy.

Authors:  J R Roebuck; K M Cecil; M D Schnall; R E Lenkinski
Journal:  Radiology       Date:  1998-10       Impact factor: 11.105

Review 7.  Breast lesions: diagnosis by using proton MR spectroscopy at 1.5 and 3.0 T--systematic review and meta-analysis.

Authors:  Pascal A T Baltzer; Matthias Dietzel
Journal:  Radiology       Date:  2013-03-06       Impact factor: 11.105

8.  Intramolecular zero-quantum-coherence 2D NMR spectroscopy of lipids in the human breast at 7 T.

Authors:  Robin A Graaf; Dennis W J Klomp; Peter R Luijten; Vincent O Boer
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

9.  The janus face of lipids in human breast cancer: how polyunsaturated Fatty acids affect tumor cell hallmarks.

Authors:  Benoît Chénais; Vincent Blanckaert
Journal:  Int J Breast Cancer       Date:  2012-07-02

10.  Evaluation of total choline from in-vivo volume localized proton MR spectroscopy and its response to neoadjuvant chemotherapy in locally advanced breast cancer.

Authors:  N R Jagannathan; M Kumar; V Seenu; O Coshic; S N Dwivedi; P K Julka; A Srivastava; G K Rath
Journal:  Br J Cancer       Date:  2001-04-20       Impact factor: 7.640

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  8 in total

1.  Alteration in lipid composition differentiates breast cancer tissues: a 1H HRMAS NMR metabolomic study.

Authors:  Anup Paul; Surendra Kumar; Anubhav Raj; Abhinav A Sonkar; Sudha Jain; Atin Singhai; Raja Roy
Journal:  Metabolomics       Date:  2018-09-03       Impact factor: 4.290

2.  Quantitative in vivo proton MR spectroscopic assessment of lipid metabolism: Value for breast cancer diagnosis and prognosis.

Authors:  Sunitha B Thakur; Joao V Horvat; Ileana Hancu; Olivia M Sutton; Blanca Bernard-Davila; Michael Weber; Jung Hun Oh; Maria Adele Marino; Daly Avendano; Doris Leithner; Sandra Brennan; Dilip Giri; Elizabeth Manderski; Elizabeth A Morris; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2019-01-03       Impact factor: 4.813

3.  Magnetic resonance spectroscopy detects differential lipid composition in mammary glands on low fat, high animal fat versus high fructose diets.

Authors:  Dianning He; Devkumar Mustafi; Xiaobing Fan; Sully Fernandez; Erica Markiewicz; Marta Zamora; Jeffrey Mueller; Joseph R Sachleben; Matthew J Brady; Suzanne D Conzen; Gregory S Karczmar
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

Review 4.  Breast Tissue Metabolism by Magnetic Resonance Spectroscopy.

Authors:  Naranamangalam R Jagannathan; Uma Sharma
Journal:  Metabolites       Date:  2017-06-07

Review 5.  Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer.

Authors:  Apekshya Chhetri; Xin Li; Joseph V Rispoli
Journal:  Front Med (Lausanne)       Date:  2020-05-12

6.  Intra-tumoural lipid composition and lymphovascular invasion in breast cancer via non-invasive magnetic resonance spectroscopy.

Authors:  Sai Man Cheung; Ehab Husain; Vasiliki Mallikourti; Yazan Masannat; Steven Heys; Jiabao He
Journal:  Eur Radiol       Date:  2020-12-03       Impact factor: 5.315

7.  Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer.

Authors:  Vasiliki Mallikourti; Sai Man Cheung; Tanja Gagliardi; Nicholas Senn; Yazan Masannat; Trevor McGoldrick; Ravi Sharma; Steven D Heys; Jiabao He
Journal:  Sci Rep       Date:  2020-11-18       Impact factor: 4.379

8.  Hormone-Independent Mouse Mammary Adenocarcinomas with Different Metastatic Potential Exhibit Different Metabolic Signatures.

Authors:  Daniela Bispo; Victoria Fabris; Caroline A Lamb; Claudia Lanari; Luisa A Helguero; Ana M Gil
Journal:  Biomolecules       Date:  2020-08-27
  8 in total

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