OBJECT: High-grade gliomas (HGGs) have poor survival and high treatment costs. Intraoperative MRI (ioMRI) improves gross-total resection (GTR) rates and prolongs progression-free survival (PFS) in HGGs, but questions regarding its cost-effectiveness persist. To date, no clinical decision analysis models assessing ioMRI in the treatment of HGG exist.METHODSAn integrated 5-state microsimulation model was constructed to follow patients with HGG. Patients treated with ioMRI were compared to those without ioMRI from initial resection/debulking until death. Following surgery and treatment of complications, patients existed in one of 3 health states: PFS, progressive disease, or dead. Patients with recurrence were offered up to two repeat resections. PFS, health utility values, probabilities, and costs were obtained from randomized-controlled trials whenever possible. Otherwise, national databases, registries, and non-randomized trials were used. Uncertainty in model inputs was assessed using deterministic and probabilistic sensitivity analyses. A healthcare perspective was taken for this analysis. A willingness to pay (WTP) threshold of $100,000/QALY gained was used to determine cost-efficacy.
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