The correlation between 1H MRS choline concentrations and MR diffusion trace values in human brain tumors

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• 作者：Dita Wagnerova (1) (2)
  Filip Jiru (1)
  Monika Dezortova (1)
  Lydie Vargova (2)
  Eva Sykova (1) (2)
  Milan Hajek (1) (2)
  
• 关键词：Spectroscopic imaging ; Cholines ; Diffusion trace ; Tumors ; Coregistration
• 刊名：Magnetic Resonance Materials in Physics, Biology and Medicine
• 出版年：2009
• 出版时间：February 2009
• 年：2009
• 卷：22
• 期：1
• 页码：19-31
• 全文大小：853KB
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• 作者单位：Dita Wagnerova (1) (2)
  Filip Jiru (1)
  Monika Dezortova (1)
  Lydie Vargova (2)
  Eva Sykova (1) (2)
  Milan Hajek (1) (2)
  
  1. MR-Unit, Institute for Clinical and Experimental Medicine, 1958/9 Videnska, 14021, Prague 4, Czech Republic
  2. Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, 1083 Videnska, 14220, Prague 4, Czech Republic
  

文摘

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 (TrADC) values. Materials and methods Eleven patients with different histopathologic diagnoses and five healthy subjects were examined with diffusion-weighted EPI-trace sequence and 1H MR spectroscopic imaging. The calculation of the correlation between choline and TrADC 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–TrADC 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 TrADC values on a pixel-by-pixel basis should help the regional identification of the pathological state of a tissue in patients with a glioblastoma.