Title |
Early health technology assessment of magnetic resonance-guided high intensity focused ultrasound ablation for the treatment of early-stage breast cancer
|
---|---|
Published in |
Journal of Therapeutic Ultrasound, August 2017
|
DOI | 10.1186/s40349-017-0101-3 |
Pubmed ID | |
Authors |
Floortje M. Knuttel, Sèvrin E. M. Huijsse, Talitha L. Feenstra, Chrit T. W. Moonen, Maurice A. A. J. van den Bosch, Erik Buskens, Marcel J. W. Greuter, Geertruida H. de Bock |
Abstract |
Magnetic resonance-guided high intensity focused ultrasound (MR-HIFU) ablation is in development for minimally invasive treatment of breast cancer. Cost-effectiveness has not been assessed yet. An early health technology assessment was performed to estimate costs of MR-HIFU ablation, compared to breast conserving treatment (BCT). An MR-HIFU treatment model using the dedicated MR-HIFU breast system (Sonalleve, Philips Healthcare) was developed. Input parameters (treatment steps and duration) were based on the analysis of questionnaire data from an expert panel. MR-HIFU experts assessed face validity of the model. Data collected by questionnaires were compared to published data of an MR-HIFU breast feasibility study. Treatment costs for tumours of 1 to 3 cm were calculated. The model structure was considered of acceptable face validity by consulted experts, and questionnaire data and published data were comparable. Costs of MR-HIFU ablation were higher than BCT costs. MR-HIFU best-case scenario costs exceeded BCT costs with approximately €1000. Cooling times and breathing correction contributed most to treatment costs. MR-HIFU ablation is currently not a cost-effective alternative for BCT. MR-HIFU experience is limited, increasing uncertainty of estimations. The potential for cost-effectiveness increases if future research reduces treatment durations and might substantiate equal or improved results. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 19% |
Researcher | 7 | 16% |
Unspecified | 3 | 7% |
Student > Master | 3 | 7% |
Professor | 3 | 7% |
Other | 11 | 26% |
Unknown | 8 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 26% |
Unspecified | 3 | 7% |
Economics, Econometrics and Finance | 2 | 5% |
Engineering | 2 | 5% |
Immunology and Microbiology | 1 | 2% |
Other | 9 | 21% |
Unknown | 15 | 35% |