Clinical utility of different approaches for detection of late pseudoprogression in glioblastoma with O-(2-[18F]fluoroethyl)-L-tyrosine PET

Autor: Thomas Linsenmann, Camelia M. Monoranu, Milena I Mihovilovic, Almuth F. Kessler, Philipp T. Meyer, Olivia Kertels, Johannes Tran-Gia, Constantin Lapa, Malte Kircher, Joachim Brumberg, Mario Löhr, Ralf-Ingo Ernestus, Samuel Samnick
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Popis: PET/CT using O-(2-[F]fluoroethyl)-L-tyrosine (F-FET) has proven valuable in differentiating tumor recurrence and progression from therapy-induced changes. This study aimed to investigate the diagnostic performance of several analytic approaches in the setting of suspected late pseudoprogression (PsP) in glioblastoma multiforme (GBM).Retrospective analysis of tumor recurrence was performed in 36 patients with histopathologically confirmed GBM and suspicion of recurrence/disease progression more than 12 weeks from cessation of irradiation based on MRI and Response Assessment in Neuro-Oncology working group criteria. For differentiation of late PsP from true tumor recurrence, images were analyzed semiquantitatively employing tumor-to-brain ratios using 5 different approaches for tumor and normal brain reference region definition, respectively. Histopathology and/or clinical and imaging follow-up served as reference. Respective areas under the receiver operating characteristic curve were compared.F-FET PET was able to reliably differentiate PsP from true tumor progression with areas under the receiver operating characteristic curve ranging from 0.80 to 0.88 (all P0.01). Irrespective of the approach chosen, the classification differences between the applied methods were not significant (all P0.05), albeit approaches focusing on voxels with the highest uptake tended to perform superior.Irrespective of the analytical approach, F-FET PET is a robust tool for detection of late PsP with only minor differences between different analytical approaches. However, methodological standardization and harmonization are needed to ensure comparability between different centers.
Databáze: OpenAIRE