The use of intensive radiological assessments in routine surveillance after treatment for head and neck cancer: An economic evaluation

Publication date: April 2018
Source:European Journal of Cancer, Volume 93
Author(s): Michela Meregaglia, John Cairns, Lisa Licitra, Paolo Bossi
BackgroundThere is uncertainty around the optimal surveillance of head and neck cancer patients after the primary curative treatment. This study aims at assessing the cost-effectiveness of a post-treatment programme of frequent radiological assessments (maximal approach) compared with a symptom-driven surveillance (minimal approach).Materials and methodsA decision-analytic Markov model is developed to assess the cost utility of two alternative follow-up programmes with a lifetime horizon. The two interventions differ in the number of radiological assessments (i.e. magnetic resonance imaging, computed tomography and positron-emission tomography) performed over a 5-year period. Clinical and utility parameters are derived from published and unpublished literature and expert opinion. The cost analysis is conducted from the perspective of a major Italian region's health care system. Cost-effectiveness results are expressed as incremental cost per life year gained (LYG) and per quality-adjusted life year (QALY) and checked against a cost-effectiveness threshold of €25,000–40,000 per QALY. One-way, two-way and probabilistic sensitivity analyses are carried out.ResultsIn the base-case analysis, an intensive programme of radiological investigations leads to 0.10 additional QALYs (0.15 LYG) and an increase in costs of €1903 per patient compared with those of a minimal option, resulting in an incremental cost of €19,951/QALY gained (€13,123/LYG). In probabilistic sensitivity analysis, 72% of the results lie below the €40,000 threshold (55% below €25,000).ConclusionsAn intensive post-treatment follow-up with scheduled radiological assessments over time might be cost-effective compared with symptom-driven surveillance in head and neck cancer patients. Further research is needed to check these results in empirical studies or real-world settings.



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