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Tissue response curve shape analysis of dynamic glucose enhanced (DGE) and dynamic contrast enhanced (DCE) MRI in patients with brain tumor

Seidemo, Anina LU ; Wirestam, Ronnie LU orcid ; Helms, Gunther LU orcid ; Markenroth bloch, Karin LU orcid ; Xu, Xiang ; Bengzon, Johan LU ; Sundgren, Pia C. LU orcid ; Van Zijl, Peter C. M. and Knutsson, Linda LU orcid (2023) In NMR in Biomedicine 36(6).
Abstract
Dynamic glucose enhanced (DGE) MRI is used to study the signal intensity time course (tissue response curve) after D-glucose injection. D-glucose has potential as a biodegradable alternative or complement to gadolinium-based contrast agents, with DGE being comparable to dynamic contrast enhanced (DCE) MRI. However, the tissue uptake kinetics as well as the detection methods of DGE differ from DCE, and it is relevant to compare these techniques in terms of spatiotemporal enhancement patterns. This study aims to develop a DGE analysis method based on tissue response curve shapes, and to investigate whether DGE MRI provides similar or complementary information to DCE MRI. Eleven patients with suspected gliomas were studied. Tissue response... (More)
Dynamic glucose enhanced (DGE) MRI is used to study the signal intensity time course (tissue response curve) after D-glucose injection. D-glucose has potential as a biodegradable alternative or complement to gadolinium-based contrast agents, with DGE being comparable to dynamic contrast enhanced (DCE) MRI. However, the tissue uptake kinetics as well as the detection methods of DGE differ from DCE, and it is relevant to compare these techniques in terms of spatiotemporal enhancement patterns. This study aims to develop a DGE analysis method based on tissue response curve shapes, and to investigate whether DGE MRI provides similar or complementary information to DCE MRI. Eleven patients with suspected gliomas were studied. Tissue response curves were measured for DGE and DCE MRI at 7 tesla and the area under curve (AUC) was assessed. Seven types of response curve shapes were postulated and subsequently identified by deep learning to create color-coded “curve maps” showing the spatial distribution of different curve types. DGE AUC values were significantly higher in lesions than in normal tissue (p (Less)
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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
NMR in Biomedicine
volume
36
issue
6
publisher
John Wiley & Sons Inc.
external identifiers
  • scopus:85142346764
  • pmid:36310022
ISSN
0952-3480
DOI
10.1002/nbm.4863
language
English
LU publication?
yes
id
c2dbe5dd-c110-4104-be4f-903fe4cc5879
date added to LUP
2022-10-31 16:29:28
date last changed
2023-10-26 15:04:01
@article{c2dbe5dd-c110-4104-be4f-903fe4cc5879,
  abstract     = {{Dynamic glucose enhanced (DGE) MRI is used to study the signal intensity time course (tissue response curve) after D-glucose injection. D-glucose has potential as a biodegradable alternative or complement to gadolinium-based contrast agents, with DGE being comparable to dynamic contrast enhanced (DCE) MRI. However, the tissue uptake kinetics as well as the detection methods of DGE differ from DCE, and it is relevant to compare these techniques in terms of spatiotemporal enhancement patterns. This study aims to develop a DGE analysis method based on tissue response curve shapes, and to investigate whether DGE MRI provides similar or complementary information to DCE MRI. Eleven patients with suspected gliomas were studied. Tissue response curves were measured for DGE and DCE MRI at 7 tesla and the area under curve (AUC) was assessed. Seven types of response curve shapes were postulated and subsequently identified by deep learning to create color-coded “curve maps” showing the spatial distribution of different curve types. DGE AUC values were significantly higher in lesions than in normal tissue (p}},
  author       = {{Seidemo, Anina and Wirestam, Ronnie and Helms, Gunther and Markenroth bloch, Karin and Xu, Xiang and Bengzon, Johan and Sundgren, Pia C. and Van Zijl, Peter C. M. and Knutsson, Linda}},
  issn         = {{0952-3480}},
  language     = {{eng}},
  number       = {{6}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{NMR in Biomedicine}},
  title        = {{Tissue response curve shape analysis of dynamic glucose enhanced (DGE) and dynamic contrast enhanced (DCE) MRI in patients with brain tumor}},
  url          = {{http://dx.doi.org/10.1002/nbm.4863}},
  doi          = {{10.1002/nbm.4863}},
  volume       = {{36}},
  year         = {{2023}},
}