The correlation between 1H MRS choline concentrations and MR diffusion trace values in human brain tumors
Jazyk angličtina Země Německo Médium print-electronic
Typ dokumentu srovnávací studie, hodnotící studie, časopisecké články, práce podpořená grantem
- MeSH
- cholin analýza MeSH
- difuzní magnetická rezonance metody MeSH
- dítě MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- magnetická rezonanční spektroskopie metody MeSH
- nádorové biomarkery analýza MeSH
- nádory mozku diagnóza metabolismus MeSH
- protony MeSH
- reprodukovatelnost výsledků MeSH
- senioři MeSH
- senzitivita a specificita MeSH
- statistika jako téma MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- hodnotící studie MeSH
- práce podpořená grantem MeSH
- srovnávací studie MeSH
- Názvy látek
- cholin MeSH
- nádorové biomarkery MeSH
- protony MeSH
OBJECTIVE: The aim of this study was to develop a method for evaluating the spatial distribution of human brain gliomas in individual subjects by evaluating the correlation between the Choline (Cho) signal intensity and the diffusion trace (Tr(ADC)) values. MATERIALS AND METHODS: Eleven patients with different histopathologic diagnoses and five healthy subjects were examined with diffusion-weighted EPI-trace sequence and (1)H MR spectroscopic imaging. The calculation of the correlation between choline and Tr(ADC) values on a pixel-by-pixel basis and simulations estimating the influence of partial volume effects on the result were performed. RESULTS: Statistical evaluation of the data in the patients with a glioblastoma showed that pixels corresponding to different tissue states are situated in different areas in the Cho-Tr(ADC) correlation graph. Namely, points forming an inverse linear dependence interpreted as an area of an active tumor were observed. Different types of correlations were found in grade II and III gliomas. No statistically significant correlation was found in healthy subjects. Simulations proved that the observed linear dependence cannot be attributed solely to partial volume effects. CONCLUSION: The analysis of the correlation between Cho concentrations and Tr(ADC) values on a pixel-by-pixel basis should help the regional identification of the pathological state of a tissue in patients with a glioblastoma.
Zobrazit více v PubMed
Radiology. 1996 Dec;201(3):637-48 PubMed
NMR Biomed. 2006 Jun;19(4):463-75 PubMed
AJNR Am J Neuroradiol. 2003 Feb;24(2):225-33 PubMed
Neuroradiology. 2006 Sep;48(9):622-31 PubMed
Magn Reson Med. 1999 Jan;41(1):2-7 PubMed
Childs Nerv Syst. 1996 Mar;12 (3):130-5 PubMed
Drugs. 1997 Feb;53(2):235-44 PubMed
J Magn Reson Imaging. 2008 Apr;27(4):718-25 PubMed
J Neurooncol. 2000 Dec;50(3):215-26 PubMed
J Clin Neurosci. 2005 May;12(4):416-20 PubMed
Neuroradiology. 1997 Jul;39(7):483-9 PubMed
Life Sci. 1996;58(22):1929-35 PubMed
Neuroradiology. 2002 Aug;44(8):656-66 PubMed
Radiology. 1990 Dec;177(3):633-41 PubMed
Surg Neurol. 1995 Aug;44(2):137-44 PubMed
Magn Reson Imaging. 2005 Oct;23(8):851-8 PubMed
AJNR Am J Neuroradiol. 1995 Sep;16(8):1593-603 PubMed
Radiology. 1992 Dec;185(3):675-86 PubMed
J Neuroimaging. 1995 Jul;5(3):157-63 PubMed
Neuroradiology. 2004 Aug;46(8):619-27 PubMed
MAGMA. 2006 Feb;19(1):1-14 PubMed
J Neurosurg. 1997 Oct;87(4):516-24 PubMed
Quantitative MR imaging and spectroscopy of brain tumours: a step forward?
