Hyperpolarized MRI, functional MRI, MR spectroscopy and CEST to provide metabolic information in vivo
van Zijl, Peter C. M. ; Brindle, Kevin ; Lu, Hanzhang ; Barker, Peter B. ; Edden, Richard ; Yadav, Nirbhay and Knutsson, Linda LU
(2021)
In Current Opinion in Chemical Biology
63.
p.209-218
- Abstract
- Access to metabolic information in vivo using magnetic resonance (MR) technologies has generally been the niche of MR spectroscopy (MRS) and spectroscopic imaging (MRSI). Metabolic fluxes can be studied using the infusion of substrates labeled with magnetic isotopes, with the use of hyperpolarization especially powerful. Unfortunately, these promising methods are not yet accepted clinically, where fast, simple, and reliable measurement and diagnosis are key. Recent advances in functional MRI and chemical exchange saturation transfer (CEST) MRI allow the use of water imaging to study oxygen metabolism and tissue metabolite levels. These, together with the use of novel data analysis approaches such as machine learning for all of these... (More)
- Access to metabolic information in vivo using magnetic resonance (MR) technologies has generally been the niche of MR spectroscopy (MRS) and spectroscopic imaging (MRSI). Metabolic fluxes can be studied using the infusion of substrates labeled with magnetic isotopes, with the use of hyperpolarization especially powerful. Unfortunately, these promising methods are not yet accepted clinically, where fast, simple, and reliable measurement and diagnosis are key. Recent advances in functional MRI and chemical exchange saturation transfer (CEST) MRI allow the use of water imaging to study oxygen metabolism and tissue metabolite levels. These, together with the use of novel data analysis approaches such as machine learning for all of these metabolic MR approaches, are increasing the likelihood of their clinical translation. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/b567338d-8024-41b5-a5e9-b2dee73e0be0
- author
- van Zijl, Peter C. M.
; Brindle, Kevin
; Lu, Hanzhang
; Barker, Peter B.
; Edden, Richard
; Yadav, Nirbhay
and Knutsson, Linda
LU
- organization
- publishing date
- 2021-08-01
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Current Opinion in Chemical Biology
- volume
- 63
- pages
- 10 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85110778028
- pmid:34298353
- ISSN
- 1367-5931
- DOI
- 10.1016/j.cbpa.2021.06.003
- project
- Natural sugar as an MRI contrast agent for cancer diagnosis
- language
- English
- LU publication?
- yes
- id
- b567338d-8024-41b5-a5e9-b2dee73e0be0
- alternative location
- https://linkinghub.elsevier.com/retrieve/pii/S1367593121000892
- date added to LUP
- 2021-07-24 19:10:56
- date last changed
- 2022-04-27 02:53:02
@article{b567338d-8024-41b5-a5e9-b2dee73e0be0,
abstract = {{Access to metabolic information <i>in vivo</i> using magnetic resonance (MR) technologies has generally been the niche of MR spectroscopy (MRS) and spectroscopic imaging (MRSI). Metabolic fluxes can be studied using the infusion of substrates labeled with magnetic isotopes, with the use of hyperpolarization especially powerful. Unfortunately, these promising methods are not yet accepted clinically, where fast, simple, and reliable measurement and diagnosis are key. Recent advances in functional MRI and chemical exchange saturation transfer (CEST) MRI allow the use of water imaging to study oxygen metabolism and tissue metabolite levels. These, together with the use of novel data analysis approaches such as machine learning for all of these metabolic MR approaches, are increasing the likelihood of their clinical translation.}},
author = {{van Zijl, Peter C. M. and Brindle, Kevin and Lu, Hanzhang and Barker, Peter B. and Edden, Richard and Yadav, Nirbhay and Knutsson, Linda}},
issn = {{1367-5931}},
language = {{eng}},
month = {{08}},
pages = {{209--218}},
publisher = {{Elsevier}},
series = {{Current Opinion in Chemical Biology}},
title = {{Hyperpolarized MRI, functional MRI, MR spectroscopy and CEST to provide metabolic information <i>in vivo</i>}},
url = {{http://dx.doi.org/10.1016/j.cbpa.2021.06.003}},
doi = {{10.1016/j.cbpa.2021.06.003}},
volume = {{63}},
year = {{2021}},
}