Integration of dynamic parameters in the analysis of 18F-FDopa PET imaging improves the prediction of the WHO-2016 classification of gliomas

Conclusions: The prediction of the WHO 2016 classification of newly-diagnosed gliomas by 18F-FDopa PET is significantly enhanced when combining the analyses of dynamic with static PET parameters and especially, time-to-peak with the metabolic tumor volume. Figure 1. Distribution of median values (points) and interquartile ranges (colored rectangles) according to both metabolic tumor volume (MTV) and time-to-peak (TTP) expressed with natural logarithm, for IDH-wildtype (blue) and IDH-mutant (grey) astrocytomas, IDH-mutant and 1p/19q co-deleted oligodendrogliomas (red) and IDH-wildtype-glioblastomas (green). The single case of IDH-mutant glioblastomas is represented with a black point and the threshold diagnostic values provided by the ROC curves analyses are represented by dashed lines.Figure 2. Representative examples for each gliomas group of the metabolic tumor volume delineation on an axial slice of 18F-FDopa PET (left row) with the dynamic TBRmean curve (middle row) providing the time-to-peak delay-time (blue line) and the 10-to-30 min slope (dark blue line) and with for illustration, the same slice location recorded on contrast-enhanced T1-weighted MRI (right row).
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Head and Neck Cancer Source Type: research