UNLABELLED: High-grade gliomas are brain tumors associated with a devastating prognosis. Recent studies have indicated that the combined use of amino acid PET and MRI is superior to MRI alone to plan the surgical resection of high-grade gliomas. The aim of the study was to analyze the cost-effectiveness of the use of amino acid PET for the surgical resection of high-grade gliomas, compared with MRI alone, from the perspective of the national health insurance in Germany. METHODS: A decision-tree model was set up to compare 2 strategies: the use of MRI alone and the combined use of MRI and PET for surgical resection of high-grade gliomas. For the analysis, 2 scenarios were calculated: a baseline scenario and a more expensive scenario, accounting for disease severity. To test the robustness of the results, probabilistic sensitivity analyses using Monte Carlo simulation were calculated. RESULTS: Compared with MRI alone, the combined use of MRI and PET showed an incremental cost-effectiveness ratio of €2,948 (€1 ~ U.S.$1.3)per life-year gained for the baseline scenario and an incremental cost-effectiveness ratio of €4,105 per life-year gained for the admissible-charge-rate scenario. In the probabilistic sensitivity analysis in about 60% of the iterations, the combined use of PET and MRI was superior to MRI alone when assuming a willingness-to-pay threshold of €30,000. CONCLUSION: The model indicates that the combined use of MRI and PET may be cost-effective. The results of this analysis have to be considered carefully because there was only limited empiric evidence for several input parameters.
UNLABELLED: High-grade gliomas are brain tumors associated with a devastating prognosis. Recent studies have indicated that the combined use of amino acid PET and MRI is superior to MRI alone to plan the surgical resection of high-grade gliomas. The aim of the study was to analyze the cost-effectiveness of the use of amino acid PET for the surgical resection of high-grade gliomas, compared with MRI alone, from the perspective of the national health insurance in Germany. METHODS: A decision-tree model was set up to compare 2 strategies: the use of MRI alone and the combined use of MRI and PET for surgical resection of high-grade gliomas. For the analysis, 2 scenarios were calculated: a baseline scenario and a more expensive scenario, accounting for disease severity. To test the robustness of the results, probabilistic sensitivity analyses using Monte Carlo simulation were calculated. RESULTS: Compared with MRI alone, the combined use of MRI and PET showed an incremental cost-effectiveness ratio of €2,948 (€1 ~ U.S.$1.3)per life-year gained for the baseline scenario and an incremental cost-effectiveness ratio of €4,105 per life-year gained for the admissible-charge-rate scenario. In the probabilistic sensitivity analysis in about 60% of the iterations, the combined use of PET and MRI was superior to MRI alone when assuming a willingness-to-pay threshold of €30,000. CONCLUSION: The model indicates that the combined use of MRI and PET may be cost-effective. The results of this analysis have to be considered carefully because there was only limited empiric evidence for several input parameters.
Authors: Frederik A Verburg; Florian F Behrendt; Felix M Mottaghy; Alexander Heinzel Journal: Eur J Nucl Med Mol Imaging Date: 2013-10-11 Impact factor: 9.236
Authors: Alexander Heinzel; Dirk Müller; Florian F Behrendt; Luca Giovanella; Felix M Mottaghy; Frederik A Verburg Journal: Eur J Nucl Med Mol Imaging Date: 2014-04-05 Impact factor: 9.236
Authors: Norbert Galldiks; Karl-Josef Langen; Nathalie L Albert; Marc Chamberlain; Riccardo Soffietti; Michelle M Kim; Ian Law; Emilie Le Rhun; Susan Chang; Julian Schwarting; Stephanie E Combs; Matthias Preusser; Peter Forsyth; Whitney Pope; Michael Weller; Jörg C Tonn Journal: Neuro Oncol Date: 2019-05-06 Impact factor: 12.300
Authors: Gabrielle Metz; Dasantha Jayamanne; Helen Wheeler; Matthew Wong; Raymond Cook; Nicholas Little; Jonathon Parkinson; Marina Kastelan; Chris Brown; Michael Back Journal: BMC Neurol Date: 2022-01-13 Impact factor: 2.474
Authors: Giorgio Treglia; Barbara Muoio; Gianluca Trevisi; Maria Vittoria Mattoli; Domenico Albano; Francesco Bertagna; Luca Giovanella Journal: Int J Mol Sci Date: 2019-09-20 Impact factor: 5.923