2D

backgroundEmerging evidence suggests that fasting could play a key role in cancer treatment. Its metabolic effects on gliomas require further investigation. PURPOSE: To design a multi-voxel STUDY TYPE: Prospective. POPULATION: MRS phantom. Twenty-two patients (mean age = 61, 6 female) with suspected WHO grade II-IV glioma examined before and after 72-hour-fasting prior to biopsy/resection. FIELD STRENGTH/SEQUENCE: 3-T, ASSESSMENT: Phantom measurements and spectral simulations were performed with various echo-times for protocol optimization. In vivo spectral analyses were conducted using LCModel and AMARES, obtaining quality/fitting parameters (linewidth, signal-to-noise-ratio, and uncertainty measures of fitting) and metabolite intensities. The volume of glioma sub-regions was calculated and correlated with MRS findings. Ex-vivo spectra of necrotic tumor tissues were obtained using high-resolution magic-angle spinning (HR-MAS) technique. STATISTICAL TESTS: Wilcoxon signed-rank test, Bland-Altman plots, and coefficient of variation were used for repeatability analysis of quality/fitting parameters and metabolite concentrations. Spearman ρ correlation for the concentration of ketone bodies with volumes of glioma sub-regions was determined. A P-value <0.05 was considered statistically significant.

resultsDATA

conclusionWe propose a comprehensive MRS protocol that may be used for monitoring cerebral, fasting-induced changes in patients with glioma. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 4.