Literature DB >> 25752401

Individualized positron emission tomography-based isotoxic accelerated radiation therapy is cost-effective compared with conventional radiation therapy: a model-based evaluation.

Mathilda L Bongers1, Veerle M H Coupé2, Dirk De Ruysscher3, Cary Oberije4, Philippe Lambin4, Carin A Uyl-de Groot5, Cornelia A Uyl-de Groot.   

Abstract

PURPOSE: To evaluate long-term health effects, costs, and cost-effectiveness of positron emission tomography (PET)-based isotoxic accelerated radiation therapy treatment (PET-ART) compared with conventional fixed-dose CT-based radiation therapy treatment (CRT) in non-small cell lung cancer (NSCLC). METHODS AND MATERIALS: Our analysis uses a validated decision model, based on data of 200 NSCLC patients with inoperable stage I-IIIB. Clinical outcomes, resource use, costs, and utilities were obtained from the Maastro Clinic and the literature. Primary model outcomes were the difference in life-years (LYs), quality-adjusted life-years (QALYs), costs, and the incremental cost-effectiveness and cost/utility ratio (ICER and ICUR) of PET-ART versus CRT. Model outcomes were obtained from averaging the predictions for 50,000 simulated patients. A probabilistic sensitivity analysis and scenario analyses were carried out.
RESULTS: The average incremental costs per patient of PET-ART were €569 (95% confidence interval [CI] €-5327-€6936) for 0.42 incremental LYs (95% CI 0.19-0.61) and 0.33 QALYs gained (95% CI 0.13-0.49). The base-case scenario resulted in an ICER of €1360 per LY gained and an ICUR of €1744 per QALY gained. The probabilistic analysis gave a 36% probability that PET-ART improves health outcomes at reduced costs and a 64% probability that PET-ART is more effective at slightly higher costs.
CONCLUSION: On the basis of the available data, individualized PET-ART for NSCLC seems to be cost-effective compared with CRT.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25752401     DOI: 10.1016/j.ijrobp.2014.12.012

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  2 in total

1.  Multistate Statistical Modeling: A Tool to Build a Lung Cancer Microsimulation Model That Includes Parameter Uncertainty and Patient Heterogeneity.

Authors:  Mathilda L Bongers; Dirk de Ruysscher; Cary Oberije; Philippe Lambin; Carin A Uyl-de Groot; V M H Coupé
Journal:  Med Decis Making       Date:  2015-03-02       Impact factor: 2.583

2.  What is the degree of innovation routinely implemented in Dutch radiotherapy centres? A multicentre cross-sectional study.

Authors:  Maria Jacobs; Liesbeth Boersma; Andre Dekker; Geert Bosmans; Frits van Merode; Frank Verhaegen; Dirk de Ruysscher; Rachelle Swart; Cindy Kengen; Philippe Lambin
Journal:  Br J Radiol       Date:  2016-09-23       Impact factor: 3.039

  2 in total

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