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DW-MRI and MRS to Differentiate Radiation Necrosis and Recurrent Disease in Gliomas P101 Exams 4135 (Brain-O), DSS data import attempt Thomas Chong.

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Presentation on theme: "DW-MRI and MRS to Differentiate Radiation Necrosis and Recurrent Disease in Gliomas P101 Exams 4135 (Brain-O), DSS data import attempt Thomas Chong."— Presentation transcript:

1 DW-MRI and MRS to Differentiate Radiation Necrosis and Recurrent Disease in Gliomas P101 Exams 4135 (Brain-O), DSS data import attempt Thomas Chong

2 Brain-O Phantom Test “Patient” 101, Exam 4135  Scan of MRS HD Sphere, a.k.a. “Brain-O”  Same scan protocol and data post-processing conducted as has been done for patients enrolled in study  Saturation bands applied to periphery of sphere Purpose  Consistently and systematically low MRS S/N necessitates re-evaluation of data collection procedures  Homogeneous metabolite solution provides near ideal control test for scanner and methods

3 MRS Sphere Phantom Contents Chemical composition matched to close to brain metabolite concentrations

4 MRS Data Post-Processing Identical to Methods Used for Protocol Data Metabolite ppm boundaries manually selected. Because solution within sphere is known to be homogeneous, results provide information on best-case data error magnitudes (i.e. Noise) attributable to:  ppm boundary selection errors resulting from background noise and/or discretization errors  Also, sphere-air boundary error effects are of interest

5 Homogeneity => Clean Data & Good S/N Following figures show overlays of all MRS data  Distinct, sharp peaks with low background noise  No phase inversion in observed data Change of total peak signal tracked going from center to outside of sphere  Absolute signal magnitude diminishes from center to periphery

6 Homogeneity => Clean Data & Good S/N Max

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11 Recorded choline amount (in MRS units) via area under choline peak varies with location, assumed to be from systematic signal gain changes. Less variability in Cho/NAA supports this.

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13 All three metabolite amount figures shows similar correlation between absolute magnitude and proximity to periphery.

14 Ratio values are robust to systematic changes in absolute signal strength

15 Cho/NAA Error Analysis of Interior Homogeneous Region Avg = 0.79; note, ratio of known soln conc is 3.0/12.5mM = 0.24 ? Conclusion: 2-sigma error for Cho/NAA for given methods is no better than ~0.08 Note, this is for best case situation.

16 Peak Maximum Shift Data Difference between each metabolite peak maximum and literature values computed by post-processing tool  Collateral “free” info  Check for systematic trends, non-linear errors # Literature metabolite peaks ppms from De Graaf article refNAA = 2.02 refCre = 3.03 refCho = 3.22

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20 INTERPRET DSS, jMRUI Raw MRS data P-files saved, downloaded MR3 SAGE version (more recent than AW2 version) used to load and save to *.sdf, *.shf files INTERPRET DSS could not successfully load shf/sdf data files. Request for jMRUI license access repeated. (originally sent 1/25/08)‏

21 MRS Protocol Update Recommendation Based on consistent lack of sufficiently high Cho/NAA S/N to allow meaningful interpretation of data, suggestion is to  Increase voxel size to as large as practical  Other ways to improve S/N?


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