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

Lookup NU author(s): Dr Jiabao He



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2020, The Author(s).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.

Publication metadata

Author(s): Mallikourti V, Cheung SM, Gagliardi T, Senn N, Masannat Y, McGoldrick T, Sharma R, Heys SD, He J

Publication type: Article

Publication status: Published

Journal: Scientific Reports

Year: 2020

Volume: 10

Issue: 1

Print publication date: 01/12/2020

Online publication date: 18/11/2020

Acceptance date: 24/08/2020

Date deposited: 01/11/2022

ISSN (electronic): 2045-2322

Publisher: Nature Publishing Group


DOI: 10.1038/s41598-020-74397-y

PubMed id: 33208767


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Funder referenceFunder name
Friends of Aberdeen and North Centre for Haematology, Oncology and Radiotherapy (ANCHOR)
NHS Grampian Endowment
Tenovus Scotland