Skip to main content
. 2021 Feb 9;34(5):e4484. doi: 10.1002/nbm.4484
1. Hardware
a. Field strength [T] 3 T 3 T
b. Manufacturer Siemens Siemens
c. Model (software version if available) Skyra (VD13B) Skyra (VD13B)
d. RF coils: nuclei (transmit/receive), number of channels, type, body part 32 ch 1H head coil 32 ch 1H head coil
e. Additional hardware N/A N/A
2. Acquisition
a. Pulse sequence PRESS Semi‐LASER CSI
b. Volume of interest (VOI) locations

Patients: lesion

Controls: centrum semiovale

Patients: lesion
c. Nominal VOI size [cm3, mm3] 20 × 20 × 20 mm3 80 × 80 × 15 mm3
d. Repetition time (T R), echo time (T E) [ms, s] T R = 2000 ms, T E = 97 ms T R = 1700 ms, T E = 97 ms

e. Total number of excitations or acquisitions per spectrum

In time series for kinetic studies

i. Number of averaged spectra (NA) per time point

ii. Averaging method (eg block‐wise or moving average)

iii. Total number of spectra (acquired/in time series)

128 averages 3 averages

f. Additional sequence parameters (bandwidth in Hz or dwell time in ms, number of spectral points, frequency offsets)

If STEAM: mixing time (T M)

If MRSI: 2D or 3D, FOV in all directions, matrix size, acceleration factors, sampling method

1200 Hz, 1024 points 2D: 160 × 160 × 15 mm3 FOV; matrix size 16 × 16, no acceleration factor; weighted distribution sampling
g. Water suppression method WET WET
h. Shimming method, reference peak, and thresholds for “acceptance of shim” chosen Automated 3D B 0 field mapping technique followed by manual adjustment <14 Hz Automated 3D B 0 field mapping technique followed by manual adjustment <25 Hz
i. Triggering or motion correction method (respiratory, peripheral, cardiac triggering, incl. device used and delays) N/A N/A
3. Data analysis methods and outputs
a. Analysis software LCmodel 6.2 LCmodel 6.2
b. Processing steps deviating from quoted reference or product Custom basis set Custom basis set
c. Output measure (eg absolute concentration, institutional units, ratio), processing steps deviating from quoted reference or product Ratios to creatine Ratios to creatine
d. Quantification references and assumptions, fitting model assumptions The basis set included spectra of 2HG, NAA, GABA, glutamate, glycine, creatine, myo‐inositol, glutamine, lactate, alanine, acetate, aspartate, ethanolamine, glutathione, phosphorylethanolamine, scyllo‐inositol, taurine, N‐acetylaspartylglutamate, glucose, and choline simulated using real pulses. Macromolecules were not modelled. The basis set included spectra of 2HG, NAA, GABA, glutamate, glycine, creatine, myo‐inositol, glutamine, lactate, alanine, acetate, aspartate, ethanolamine, glutathione, phosphorylethanolamine, scyllo‐inositol, taurine, N‐acetylaspartylglutamate, glucose, and choline simulated using real pulses. Macromolecules were not modelled.
4. Data quality
a. Reported variables (SNR, linewidth (with reference peaks)) SNR and linewidths not reported SNR and linewidths not reported
b. Data exclusion criteria SNR < 5 or FWHM of creatine peak > 0.143 ppm 75th percentile 2HG/creatine values of the selected voxels
c. Quality measures of postprocessing model fitting (eg CRLB, goodness of fit, SD of residual) 2HG CRLB < 30% 2HG CRLB < 30%
d. Sample spectrum Figures 1‐3 Figures 1‐3

The example above used the following paper: Zhou M, Zhou Y, Liao H, et al. Diagnostic accuracy of 2‐hydroxyglutarate magnetic resonance spectroscopy in newly diagnosed brain mass and suspected recurrent gliomas. Neuro‐Oncol. 2018;20(9):1262‐1271. https://doi.org/10.1093/neuonc/noy022.

Items listed in italics are details that were not included in the paper that served as the source for this example.