Literature DB >> 29454110

Study of lipid metabolism by estimating the fat fraction in different breast tissues and in various breast tumor sub-types by in vivo 1H MR spectroscopy.

Khushbu Agarwal1, Uma Sharma1, Sandeep Mathur2, Vurthaluru Seenu3, Rajinder Parshad3, Naranamangalam R Jagannathan4.   

Abstract

PURPOSE: To evaluate the utility of fat fraction (FF) for the differentiation of different breast tissues and in various breast tumor subtypes using in vivo proton (1H) magnetic resonance spectroscopy (MRS).
METHODS: 1H MRS was performed on 68 malignant, 35 benign, and 30 healthy volunteers at 1.5 T. Malignant breast tissues of patients were characterized into different subtypes based on the differences in the expression of hormone receptors and the FF was calculated. Further, the sensitivity and specificity of FF to differentiate malignant from benign and from normal breast tissues of healthy volunteers was determined using receiver operator curve (ROC) analysis.
RESULTS: A significantly lower FF of malignant (median 0.12; range 0.01-0.70) compared to benign lesions (median 0.28; range 0.02-0.71) and normal breast tissue of healthy volunteers (median 0.39; range 0.06-0.76) was observed. No significant difference in FF was seen between benign lesions and normal breast tissues of healthy volunteers. Sensitivity and specificity of 75% and 68.6%, respectively was obtained to differentiate malignant from benign lesions. For the differentiation of malignant from healthy breast tissues, 76% sensitivity and 74.5% specificity was achieved. Higher FF was seen in patients with ER-/PR- status as compared to ER+/PR+ patients. Similarly, FF of HER2neu+ tumors were significantly higher than in HER2neu- breast tumors.
CONCLUSION: The results showed the potential of in vivo 1H MRS in providing insight into the changes in the fat content of different types of breast tissues and in various breast tumor subtypes.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Fat fraction; Hormonal factors; Lipid metabolism; Magnetic resonance spectroscopy

Mesh:

Substances:

Year:  2018        PMID: 29454110     DOI: 10.1016/j.mri.2018.02.004

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  8 in total

Review 1.  Proton MR spectroscopy in the breast: Technical innovations and clinical applications.

Authors:  Reza Fardanesh; Maria Adele Marino; Daly Avendano; Doris Leithner; Katja Pinker; Sunitha B Thakur
Journal:  J Magn Reson Imaging       Date:  2019-03-07       Impact factor: 4.813

2.  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

3.  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

4.  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

Review 5.  Magnetic Resonance Imaging (MRI) and MR Spectroscopic Methods in Understanding Breast Cancer Biology and Metabolism.

Authors:  Uma Sharma; Naranamangalam R Jagannathan
Journal:  Metabolites       Date:  2022-03-27

6.  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

Review 7.  In vivo MR spectroscopy for breast cancer diagnosis.

Authors:  Uma Sharma; Naranamangalam Raghunathan Jagannathan
Journal:  BJR Open       Date:  2019-07-02

8.  Fat Composition Measured by Proton Spectroscopy: A Breast Cancer Tumor Marker?

Authors:  Almir Bitencourt; Varadan Sevilimedu; Elizabeth A Morris; Katja Pinker; Sunitha B Thakur
Journal:  Diagnostics (Basel)       Date:  2021-03-21
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.