Focal brain lesions can be associated with proton magnetic resonance spectr
a (H-1-MRS)-detectable mobile lipids, reflecting severe tissue degradation
and necrosis. However, advanced fitting procedures, such as the LCModel, fa
il to adequately fit spectra in the presence of lipid resonances. To overco
me this, different approaches to generate lipid model spectra were compared
using a phantom, real in vivo data, and simulated data. Twenty-six in vivo
short-echo time (TE) H-1-MRS from 21 malignant gliomas, four infections, a
nd one ischemia were analyzed to evaluate the performance of the modified L
CModel fit. Adding simulated aliphatic resonances at 1.3 and 0.9 ppm improv
ed the overall fitting quality remarkably and allowed good separation of la
ctate and alanine. Also, a better differentiation of glioblastomas and anap
lastic gliomas was achieved. In conclusion, we propose a simple way to effi
ciently include lipid resonances in the LCModel, allowing a better fit of i
n vivo short-TE H-1-MRS, and demonstrate the diagnostic potential of quanti
tative assessment of mobile lipids in brain tumors. (C) 2001 Wiley-Liss, In
c.