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Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer
Lipid composition in breast cancer, a central marker of disease progression, can be non-invasively quantified using 2D MRS method of double quantum filtered correlation spectroscopy (DQF-COSY). The low signal to noise ratio (SNR), arising from signal retention of only 25% and depleted lipids within...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676263/ https://www.ncbi.nlm.nih.gov/pubmed/33208767 http://dx.doi.org/10.1038/s41598-020-74397-y |
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author | Mallikourti, Vasiliki Cheung, Sai Man Gagliardi, Tanja Senn, Nicholas Masannat, Yazan McGoldrick, Trevor Sharma, Ravi Heys, Steven D. He, Jiabao |
author_facet | Mallikourti, Vasiliki Cheung, Sai Man Gagliardi, Tanja Senn, Nicholas Masannat, Yazan McGoldrick, Trevor Sharma, Ravi Heys, Steven D. He, Jiabao |
author_sort | Mallikourti, Vasiliki |
collection | PubMed |
description | Lipid composition in breast cancer, a central marker of disease progression, can be non-invasively quantified using 2D MRS method of double quantum filtered correlation spectroscopy (DQF-COSY). The low signal to noise ratio (SNR), arising from signal retention of only 25% and depleted lipids within tumour, demands improvement approaches beyond signal averaging for clinically viable applications. We therefore adapted and examined combination algorithms, designed for 1D MRS, for 2D MRS with both internal and external references. Lipid composition spectra were acquired from 17 breast tumour specimens, 15 healthy female volunteers and 25 patients with breast cancer on a clinical 3 T MRI scanner. Whitened singular value decomposition (WSVD) with internal reference yielded maximal SNR with an improvement of 53.3% (40.3–106.9%) in specimens, 84.4 ± 40.6% in volunteers, 96.9 ± 54.2% in peritumoural adipose tissue and 52.4% (25.1–108.0%) in tumours in vivo. Non-uniformity, as variance of improvement across peaks, was low at 21.1% (13.7–28.1%) in specimens, 5.5% (4.2–7.2%) in volunteers, 6.1% (5.0–9.0%) in peritumoural tissue, and 20.7% (17.4–31.7%) in tumours in vivo. The bias (slope) in improvement ranged from − 1.08 to 0.21%/ppm along the diagonal directions. WSVD is therefore the optimal algorithm for lipid composition spectra with highest SNR uniformly across peaks, reducing acquisition time by up to 70% in patients, enabling clinical applications. |
format | Online Article Text |
id | pubmed-7676263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76762632020-11-23 Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer Mallikourti, Vasiliki Cheung, Sai Man Gagliardi, Tanja Senn, Nicholas Masannat, Yazan McGoldrick, Trevor Sharma, Ravi Heys, Steven D. He, Jiabao Sci Rep Article Lipid composition in breast cancer, a central marker of disease progression, can be non-invasively quantified using 2D MRS method of double quantum filtered correlation spectroscopy (DQF-COSY). The low signal to noise ratio (SNR), arising from signal retention of only 25% and depleted lipids within tumour, demands improvement approaches beyond signal averaging for clinically viable applications. We therefore adapted and examined combination algorithms, designed for 1D MRS, for 2D MRS with both internal and external references. Lipid composition spectra were acquired from 17 breast tumour specimens, 15 healthy female volunteers and 25 patients with breast cancer on a clinical 3 T MRI scanner. Whitened singular value decomposition (WSVD) with internal reference yielded maximal SNR with an improvement of 53.3% (40.3–106.9%) in specimens, 84.4 ± 40.6% in volunteers, 96.9 ± 54.2% in peritumoural adipose tissue and 52.4% (25.1–108.0%) in tumours in vivo. Non-uniformity, as variance of improvement across peaks, was low at 21.1% (13.7–28.1%) in specimens, 5.5% (4.2–7.2%) in volunteers, 6.1% (5.0–9.0%) in peritumoural tissue, and 20.7% (17.4–31.7%) in tumours in vivo. The bias (slope) in improvement ranged from − 1.08 to 0.21%/ppm along the diagonal directions. WSVD is therefore the optimal algorithm for lipid composition spectra with highest SNR uniformly across peaks, reducing acquisition time by up to 70% in patients, enabling clinical applications. Nature Publishing Group UK 2020-11-18 /pmc/articles/PMC7676263/ /pubmed/33208767 http://dx.doi.org/10.1038/s41598-020-74397-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mallikourti, Vasiliki Cheung, Sai Man Gagliardi, Tanja Senn, Nicholas Masannat, Yazan McGoldrick, Trevor Sharma, Ravi Heys, Steven D. He, Jiabao Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer |
title | Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer |
title_full | Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer |
title_fullStr | Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer |
title_full_unstemmed | Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer |
title_short | Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer |
title_sort | phased-array combination of 2d mrs for lipid composition quantification in patients with breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676263/ https://www.ncbi.nlm.nih.gov/pubmed/33208767 http://dx.doi.org/10.1038/s41598-020-74397-y |
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