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

@article{citeulike:3623480, abstract = {Abstract 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.}, author = {Wagnerova, Dita and Jiru, Filip and Dezortova, Monika and Vargova, Lydie and Sykova, Eva and Hajek, Milan}, citeulike-article-id = {3623480}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s10334-008-0150-2}, citeulike-linkout-1 = {http://www.springerlink.com/content/m0680x2l12641242}, doi = {10.1007/s10334-008-0150-2}, journal = {Magnetic Resonance Materials in Physics, Biology and Medicine}, keywords = {adc, brain, choline, mri, spectroscopy}, posted-at = {2009-01-09 14:54:33}, priority = {4}, title = {The correlation between 1H MRS choline concentrations and MR diffusion trace values in human brain tumors}, url = {http://dx.doi.org/10.1007/s10334-008-0150-2} }

TY - JOUR ID - citeulike:3623480 L3 - citeulike-article-id:3623480 N2 - Abstract 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. JF - Magnetic Resonance Materials in Physics, Biology and Medicine TI - The correlation between 1H MRS choline concentrations and MR diffusion trace values in human brain tumors KW - adc KW - brain KW - choline KW - mri KW - spectroscopy AU - Wagnerova, Dita AU - Jiru, Filip AU - Dezortova, Monika AU - Vargova, Lydie AU - Sykova, Eva AU - Hajek, Milan UR - http://dx.doi.org/10.1007/s10334-008-0150-2 ER -