-
Je něco špatně v tomto záznamu ?
Test-retest reproducibility of neurochemical profiles with short-echo, single-voxel MR spectroscopy at 3T and 7T
M. Terpstra, I. Cheong, T. Lyu, DK. Deelchand, UE. Emir, P. Bednařík, LE. Eberly, G. Öz,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu srovnávací studie, hodnotící studie, časopisecké články, validační studie, Research Support, N.I.H., Extramural, práce podpořená grantem
NLK
Medline Complete (EBSCOhost)
od 2012-01-01 do Před 1 rokem
Wiley Free Content
od 1999 do Před 5 lety
PubMed
26502373
DOI
10.1002/mrm.26022
Knihovny.cz E-zdroje
- MeSH
- algoritmy * MeSH
- dospělí MeSH
- interpretace obrazu počítačem metody MeSH
- lidé MeSH
- magnetická rezonanční spektroskopie metody MeSH
- magnetická rezonanční tomografie přístrojové vybavení metody MeSH
- molekulární zobrazování přístrojové vybavení metody MeSH
- mozek anatomie a histologie metabolismus MeSH
- reprodukovatelnost výsledků MeSH
- senzitivita a specificita MeSH
- tkáňová distribuce MeSH
- vylepšení obrazu metody MeSH
- zobrazování trojrozměrné metody MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- hodnotící studie MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- srovnávací studie MeSH
- validační studie MeSH
PURPOSE: To determine the test-retest reproducibility of neurochemical concentrations obtained with a highly optimized, short-echo, single-voxel proton MR spectroscopy (MRS) pulse sequence at 3T and 7T using state-of-the-art hardware. METHODS: A semi-LASER sequence (echo time = 26-28 ms) was used to acquire spectra from the posterior cingulate and cerebellum at 3T and 7T from six healthy volunteers who were scanned four times weekly on both scanners. Spectra were quantified with LCModel. RESULTS: More neurochemicals were quantified with mean Cramér-Rao lower bounds (CRLBs) ≤20% at 7T than at 3T despite comparable frequency-domain signal-to-noise ratio. Whereas CRLBs were lower at 7T (P < 0.05), between-session coefficients of variance (CVs) were comparable at the two fields with 64 transients. Five metabolites were quantified with between-session CVs ≤5% at both fields. Analysis of subspectra showed that a minimum achievable CV was reached with a lower number of transients at 7T for multiple metabolites and that between-session CVs were lower at 7T than at 3T with fewer than 64 transients. CONCLUSION: State-of-the-art MRS methodology allows excellent reproducibility for many metabolites with 5-min data averaging on clinical 3T hardware. Sensitivity and resolution advantages at 7T are important for weakly represented metabolites, short acquisitions, and small volumes of interest. Magn Reson Med 76:1083-1091, 2016. © 2015 Wiley Periodicals, Inc.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc18017389
- 003
- CZ-PrNML
- 005
- 20180517140926.0
- 007
- ta
- 008
- 180515s2016 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1002/mrm.26022 $2 doi
- 035 __
- $a (PubMed)26502373
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Terpstra, Melissa $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
- 245 10
- $a Test-retest reproducibility of neurochemical profiles with short-echo, single-voxel MR spectroscopy at 3T and 7T / $c M. Terpstra, I. Cheong, T. Lyu, DK. Deelchand, UE. Emir, P. Bednařík, LE. Eberly, G. Öz,
- 520 9_
- $a PURPOSE: To determine the test-retest reproducibility of neurochemical concentrations obtained with a highly optimized, short-echo, single-voxel proton MR spectroscopy (MRS) pulse sequence at 3T and 7T using state-of-the-art hardware. METHODS: A semi-LASER sequence (echo time = 26-28 ms) was used to acquire spectra from the posterior cingulate and cerebellum at 3T and 7T from six healthy volunteers who were scanned four times weekly on both scanners. Spectra were quantified with LCModel. RESULTS: More neurochemicals were quantified with mean Cramér-Rao lower bounds (CRLBs) ≤20% at 7T than at 3T despite comparable frequency-domain signal-to-noise ratio. Whereas CRLBs were lower at 7T (P < 0.05), between-session coefficients of variance (CVs) were comparable at the two fields with 64 transients. Five metabolites were quantified with between-session CVs ≤5% at both fields. Analysis of subspectra showed that a minimum achievable CV was reached with a lower number of transients at 7T for multiple metabolites and that between-session CVs were lower at 7T than at 3T with fewer than 64 transients. CONCLUSION: State-of-the-art MRS methodology allows excellent reproducibility for many metabolites with 5-min data averaging on clinical 3T hardware. Sensitivity and resolution advantages at 7T are important for weakly represented metabolites, short acquisitions, and small volumes of interest. Magn Reson Med 76:1083-1091, 2016. © 2015 Wiley Periodicals, Inc.
- 650 _2
- $a dospělí $7 D000328
- 650 12
- $a algoritmy $7 D000465
- 650 _2
- $a mozek $x anatomie a histologie $x metabolismus $7 D001921
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a vylepšení obrazu $x metody $7 D007089
- 650 _2
- $a interpretace obrazu počítačem $x metody $7 D007090
- 650 _2
- $a zobrazování trojrozměrné $x metody $7 D021621
- 650 _2
- $a magnetická rezonanční tomografie $x přístrojové vybavení $x metody $7 D008279
- 650 _2
- $a magnetická rezonanční spektroskopie $x metody $7 D009682
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a molekulární zobrazování $x přístrojové vybavení $x metody $7 D057054
- 650 _2
- $a reprodukovatelnost výsledků $7 D015203
- 650 _2
- $a senzitivita a specificita $7 D012680
- 650 _2
- $a tkáňová distribuce $7 D014018
- 655 _2
- $a srovnávací studie $7 D003160
- 655 _2
- $a hodnotící studie $7 D023362
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a validační studie $7 D023361
- 655 _2
- $a Research Support, N.I.H., Extramural $7 D052061
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Cheong, Ian $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
- 700 1_
- $a Lyu, Tianmeng $u Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
- 700 1_
- $a Deelchand, Dinesh K $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
- 700 1_
- $a Emir, Uzay E $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
- 700 1_
- $a Bednařík, Petr $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA. Division of Endocrinology and Diabetes, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA. Multimodal and Functional Neuroimaging Research Group, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
- 700 1_
- $a Eberly, Lynn E $u Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
- 700 1_
- $a Öz, Gülin $u Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA. gulin@cmrr.umn.edu.
- 773 0_
- $w MED00003172 $t Magnetic resonance in medicine $x 1522-2594 $g Roč. 76, č. 4 (2016), s. 1083-91
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/26502373 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20180515 $b ABA008
- 991 __
- $a 20180517141102 $b ABA008
- 999 __
- $a ok $b bmc $g 1301013 $s 1014229
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2016 $b 76 $c 4 $d 1083-91 $e 20151026 $i 1522-2594 $m Magnetic resonance in medicine $n Magn Reson Med $x MED00003172
- LZP __
- $a Pubmed-20180515