PURPOSE: We sought to retrospectively investigate differences in correlation of absolute metabolites concentrations and metabolite ratios with histopathologic parameters of stereotactic biopsies from the border zone of gliomas. MATERIALS AND METHODS: Proton magnetic resonance spectroscopic imaging (H-MRSI) with high spatial resolution was performed in 10 glioma patients at 1.5 T. Magnetic resonance spectroscopic imaging (MRSI) data were coregistered to a 3D MR data set used for stereotactic procedures. Metabolite concentrations of choline-containing compounds (Cho), creatine (Cr), and total N-acetyl-aspartate (tNAA) in addition to metabolite ratios of Cho/Cr, tNAA/Cr, and Cho/tNAA were calculated for voxel positions at biopsy loci with low tumor cell infiltration. Metabolite values were correlated with histopathologic findings expressed as a relative (% tumor infiltration, %TI) and an absolute parameter (tumor cell number, TCN). RESULTS: We found a strong negative linear correlation for tNAA with %TI (R = -0.773, P < 0.001) and TCN (R = -0.769, P < 0.001) but no correlation for Cho (P > 0.05). On the other hand, the metabolite ratio of Cho/Cr showed a moderate positive linear correlation with %TI (R = 0.523, P = 0.012) and TCN (R = 0.486, P = 0.019), but no correlation was obtained for tNAA/Cr (P > 0.05). Differences in correlation between tNAA and Cho as well as tNAA/Cr and Cho/Cr were significant for both %TI (P = 0.012 and P = 0.024) and TCN (P = 0.016 and P = 0.040) using a t test. CONCLUSIONS: We conclude that absolute values of tNAA are more significant than Cho in the detection of low tumor cell infiltration. On the basis of absolute metabolite values, neuronal damage seems to be more distinct than cell membrane proliferation in the border zone of gliomas. Furthermore, the calculation of metabolite ratios versus Cr for the border zone may yield to misleading results because Cr is not constant in this area.
PURPOSE: We sought to retrospectively investigate differences in correlation of absolute metabolites concentrations and metabolite ratios with histopathologic parameters of stereotactic biopsies from the border zone of gliomas. MATERIALS AND METHODS: Proton magnetic resonance spectroscopic imaging (H-MRSI) with high spatial resolution was performed in 10 gliomapatients at 1.5 T. Magnetic resonance spectroscopic imaging (MRSI) data were coregistered to a 3D MR data set used for stereotactic procedures. Metabolite concentrations of choline-containing compounds (Cho), creatine (Cr), and total N-acetyl-aspartate (tNAA) in addition to metabolite ratios of Cho/Cr, tNAA/Cr, and Cho/tNAA were calculated for voxel positions at biopsy loci with low tumor cell infiltration. Metabolite values were correlated with histopathologic findings expressed as a relative (% tumor infiltration, %TI) and an absolute parameter (tumor cell number, TCN). RESULTS: We found a strong negative linear correlation for tNAA with %TI (R = -0.773, P < 0.001) and TCN (R = -0.769, P < 0.001) but no correlation for Cho (P > 0.05). On the other hand, the metabolite ratio of Cho/Cr showed a moderate positive linear correlation with %TI (R = 0.523, P = 0.012) and TCN (R = 0.486, P = 0.019), but no correlation was obtained for tNAA/Cr (P > 0.05). Differences in correlation between tNAA and Cho as well as tNAA/Cr and Cho/Cr were significant for both %TI (P = 0.012 and P = 0.024) and TCN (P = 0.016 and P = 0.040) using a t test. CONCLUSIONS: We conclude that absolute values of tNAA are more significant than Cho in the detection of low tumor cell infiltration. On the basis of absolute metabolite values, neuronal damage seems to be more distinct than cell membrane proliferation in the border zone of gliomas. Furthermore, the calculation of metabolite ratios versus Cr for the border zone may yield to misleading results because Cr is not constant in this area.
Authors: James S Cordova; Hui-Kuo G Shu; Zhongxing Liang; Saumya S Gurbani; Lee A D Cooper; Chad A Holder; Jeffrey J Olson; Brad Kairdolf; Eduard Schreibmann; Stewart G Neill; Constantinos G Hadjipanayis; Hyunsuk Shim Journal: Neuro Oncol Date: 2016-03-15 Impact factor: 12.300
Authors: Jörg Mauler; Andrew A Maudsley; Karl-Josef Langen; Omid Nikoubashman; Gabriele Stoffels; Sulaiman Sheriff; Philipp Lohmann; Christian Filss; Norbert Galldiks; Elena Rota Kops; N Jon Shah Journal: J Nucl Med Date: 2017-08-28 Impact factor: 10.057
Authors: Gilbert Hangel; Saurabh Jain; Elisabeth Springer; Eva Hečková; Bernhard Strasser; Michal Považan; Stephan Gruber; Georg Widhalm; Barbara Kiesel; Julia Furtner; Matthias Preusser; Thomas Roetzer; Siegfried Trattnig; Diana M Sima; Dirk Smeets; Wolfgang Bogner Journal: Neuroimage Date: 2019-02-14 Impact factor: 6.556
Authors: Hyunsuk Shim; Li Wei; Chad A Holder; Ying Guo; Xiaoping P Hu; Andrew H Miller; Jeffrey J Olson Journal: AJR Am J Roentgenol Date: 2014-08 Impact factor: 3.959
Authors: J Scott Cordova; Saumya S Gurbani; Jeffrey J Olson; Zhongxing Liang; Lee A D Cooper; Hui-Kuo G Shu; Eduard Schreibmann; Stewart G Neill; Constantinos G Hadjipanayis; Chad A Holder; Hyunsuk Shim Journal: Tomography Date: 2016-06
Authors: J Scott Cordova; Shravan Kandula; Saumya Gurbani; Jim Zhong; Mital Tejani; Oluwatosin Kayode; Kirtesh Patel; Roshan Prabhu; Eduard Schreibmann; Ian Crocker; Chad A Holder; Hyunsuk Shim; Hui-Kuo Shu Journal: Tomography Date: 2016-12