-
Something wrong with this record ?
Chasing shadows: what determines DTI metrics in gray matter regions? An in vitro and in vivo study
Aaron M. Rulseh, Jiří Keller, Jaroslav Tintěra, Milan Kožíšek, Josef Vymazal
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
Grant support
NS9654
MZ0
CEP Register
NT11328
MZ0
CEP Register
NT12094
MZ0
CEP Register
PubMed
23440865
DOI
10.1002/jmri.24065
Knihovny.cz E-resources
- MeSH
- Adult MeSH
- Phantoms, Imaging MeSH
- Ferritins metabolism MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Brain cytology metabolism MeSH
- Neurons cytology metabolism MeSH
- Reproducibility of Results MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Sensitivity and Specificity MeSH
- In Vitro Techniques MeSH
- Iron metabolism MeSH
- Diffusion Tensor Imaging instrumentation methods MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
PURPOSE: To characterize the relationship between superparamagnetic ferritin-bound iron and diffusion tensor scalars in vitro, and validate the results in vivo. MATERIALS AND METHODS: The in vitro model consisted of a series of 40-mL 1.1% agarose gels doped with ferritin covering and exceeding those concentrations normally found within healthy human gray matter. Additionally, regions of interest were placed in the caudate, putamen, and globus pallidus of 29 healthy volunteer subjects 19-80 years of age. Carr-Purcell-Meiboom-Gill sequence (CPMG) and diffusion tensor imaging (DTI) data were collected at 1.5 Tesla (T) and 3T in vitro, and at 1.5T in vivo. RESULTS: In vitro, linear relationships were observed between ferritin-bound iron concentration, R2 (1/T2 ) and 1/SNR. Eigenvalue repulsion with increasing R2 (decreasing SNR) was reflected in an artifactual increase of fractional anisotropy. In vivo, similar relationships were observed, with mean diffusivity also decreasing linearly with increasing R2 . Lambda 3 showed the strongest correlation with R2 both in vitro and in vivo. CONCLUSION: The observation that DTI metrics correlate with ferritin-bound iron is an important consideration in the design and interpretation of studies exploring the diffusion characteristics of gray matter regions, especially in studies focused on adolescence as well as diseases associated with altered brain-iron load such as pantothenate kinase-associated neurodegeneration, Huntington disease and multiple system atrophy.
Department of Neurology Charles University Prague 3rd Faculty of Medicine Prague Czech Republic
Department of Radiology Institute for Clinical and Experimental Medicine Prague Czech Republic
Department of Radiology Na Homolce Hospital Prague Czech Republic
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc14064219
- 003
- CZ-PrNML
- 005
- 20181017152846.0
- 007
- ta
- 008
- 140704s2013 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1002/jmri.24065 $2 doi
- 035 __
- $a (PubMed)23440865
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Rulseh, Aaron Michael $u Department of Radiology, Na Homolce Hospital, Prague, Czech Republic $7 xx0243723
- 245 10
- $a Chasing shadows: what determines DTI metrics in gray matter regions? An in vitro and in vivo study / $c Aaron M. Rulseh, Jiří Keller, Jaroslav Tintěra, Milan Kožíšek, Josef Vymazal
- 520 9_
- $a PURPOSE: To characterize the relationship between superparamagnetic ferritin-bound iron and diffusion tensor scalars in vitro, and validate the results in vivo. MATERIALS AND METHODS: The in vitro model consisted of a series of 40-mL 1.1% agarose gels doped with ferritin covering and exceeding those concentrations normally found within healthy human gray matter. Additionally, regions of interest were placed in the caudate, putamen, and globus pallidus of 29 healthy volunteer subjects 19-80 years of age. Carr-Purcell-Meiboom-Gill sequence (CPMG) and diffusion tensor imaging (DTI) data were collected at 1.5 Tesla (T) and 3T in vitro, and at 1.5T in vivo. RESULTS: In vitro, linear relationships were observed between ferritin-bound iron concentration, R2 (1/T2 ) and 1/SNR. Eigenvalue repulsion with increasing R2 (decreasing SNR) was reflected in an artifactual increase of fractional anisotropy. In vivo, similar relationships were observed, with mean diffusivity also decreasing linearly with increasing R2 . Lambda 3 showed the strongest correlation with R2 both in vitro and in vivo. CONCLUSION: The observation that DTI metrics correlate with ferritin-bound iron is an important consideration in the design and interpretation of studies exploring the diffusion characteristics of gray matter regions, especially in studies focused on adolescence as well as diseases associated with altered brain-iron load such as pantothenate kinase-associated neurodegeneration, Huntington disease and multiple system atrophy.
- 650 _2
- $a dospělí $7 D000328
- 650 _2
- $a senioři $7 D000368
- 650 _2
- $a senioři nad 80 let $7 D000369
- 650 _2
- $a mozek $x cytologie $x metabolismus $7 D001921
- 650 _2
- $a zobrazování difuzních tenzorů $x přístrojové vybavení $x metody $7 D056324
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a ferritiny $x metabolismus $7 D005293
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a železo $x metabolismus $7 D007501
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a neurony $x cytologie $x metabolismus $7 D009474
- 650 _2
- $a fantomy radiodiagnostické $7 D019047
- 650 _2
- $a reprodukovatelnost výsledků $7 D015203
- 650 _2
- $a senzitivita a specificita $7 D012680
- 650 _2
- $a mladý dospělý $7 D055815
- 650 _2
- $a techniky in vitro $7 D066298
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Keller, Jiří, $u Department of Radiology, Na Homolce Hospital, Prague, Czech Republic; Department of Neurology, Charles University in Prague, 3rd Faculty of Medicine, Prague, Czech Republic $d 1981- $7 xx0145264
- 700 1_
- $a Tintěra, Jaroslav, $u Department of Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic $d 1957- $7 xx0061376
- 700 1_
- $a Kožíšek, Milan $u Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Gilead Sciences and IOCB Research Center, Prague, Czech Republic $7 xx0100179
- 700 1_
- $a Vymazal, Josef, $u Department of Radiology, Na Homolce Hospital, Prague, Czech Republic; Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine, Prague, Czech Republic $d 1962- $7 xx0066412
- 773 0_
- $w MED00005266 $t Journal of magnetic resonance imaging JMRI $x 1522-2586 $g Roč. 38, č. 5 (2013), s. 1103-1110
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/23440865 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20140704 $b ABA008
- 991 __
- $a 20181017153345 $b ABA008
- 999 __
- $a ok $b bmc $g 1031703 $s 862951
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2013 $b 38 $c 5 $d 1103-1110 $i 1522-2586 $m Journal of magnetic resonance $n J Magn Reson $x MED00005266
- GRA __
- $a NS9654 $p MZ0
- GRA __
- $a NT11328 $p MZ0
- GRA __
- $a NT12094 $p MZ0
- LZP __
- $a Pubmed-20140704
