Purpose
To evaluate the use of three EMR methods to quantify APT and NOE signals in human glioma.
Methods
Eleven patients with high-grade glioma were scanned at 3 T. aEMR2 (asymmetric magnetization-transfer or MT model to fit two-sided, wide-offset data), sEMR2 (symmetric MT model to fit two-sided, wide-offset data), and sEMR1 (symmetric MT model to fit one-sided, wide-offset data) were assessed. ZEMR and experimental data at 3.5 ppm and −3.5 ppm were subtracted to calculate the APT and NOE signals (APT# and NOE#), respectively.
Results
The aEMR2 and sEMR1 models provided quite similar APT# signals, while the sEMR2 provided somewhat lower APT# signals. The aEMR2 had an erroneous NOE# quantification. Calculated APT# signal intensities of glioma (~4%), much larger than the values reported previously, were significantly higher than those of edema and normal tissue. Compared to normal tissue, gadolinium-enhancing tumor cores were consistently hyperintense on the APT# maps and slightly hypointense on the NOE# maps.
Conclusion
The sEMR1 model is the best choice for accurately quantifying APT and NOE signals. The APT-weighted hyperintensity in the tumor was dominated by the APT effect, and the MT asymmetry at 3.5 ppm is a reliable and valid metric for APT imaging of gliomas at 3 T.