Abstract
Background: Monitoring treatment response after chemotherapy of gadolinium-(Gd)-negative gliomas is challenging as conventional MRI often indicates no radiological changes. We hypothesize that F-18-FET-PET can be used as a biomarker for response assessment in Gd-negative gliomas undergoing chemotherapy.Methods: Sixty-one patients harboring Gd-negative WHO grade II or III glioma receiving alkylating agents (temozolomide or CCNU/procarbacine) were included. All patients underwent MRI and F-18-FET-PET before chemotherapy and 6 months later. We calculated T-2-volume, F-18-FET-PET based biological tumour volume (BTV) and maximal tumour-to-brain ratio (TBRmax). Moreover, dynamic PET acquisition was performed using time-activity-curves (TACs) analysis. For MRI-based response assessment, RANO criteria for low-grade glioma were used. For F-18-FET-PET, following classification scheme was tested: responsive disease (RD) when a decrease in either BTV25% and/or TBRmax 10% occurred, an increase in BTV25% and/or TBRmax increase>10% characterized progressive disease (PD), minor changes25% for BTV and 10% for TBRmax were regarded as stable disease (SD). Post-chemotherapy survival (PCS) and time-to-treatment failure (TTF) were calculated using the Kaplan-Meier method.Results(18)F-FET-PET based response has shown patients with RD to have the longest TTF time (78.5 vs 24.6 vs 24.1 months, p=0.001), while there was no significant difference between patients with a SD and PD. A comparable pattern was observed for PCS (p<0.001). T-2-volume based assessment was not associated with outcome.Conclusion(18)F-FET-PET is a promising biomarker for early response assessment in Gd-negative gliomas undergoing chemotherapy. It might be helpful for a timely adjustment of potentially ineffective treatment concepts and overcomes limitations of conventional structural imaging.
Dokumententyp: | Zeitschriftenartikel |
---|---|
Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 0167-594X |
Sprache: | Englisch |
Dokumenten ID: | 64361 |
Datum der Veröffentlichung auf Open Access LMU: | 19. Jul. 2019, 12:15 |
Letzte Änderungen: | 10. Mai 2022, 12:37 |