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1.
Radiother Oncol ; 138: 187-194, 2019 09.
Article in English | MEDLINE | ID: mdl-31319281

ABSTRACT

BACKGROUND: The Health Economics in Radiation Oncology (ESTRO-HERO) project aims to provide a knowledge base for health economics in European radiotherapy. A cost-accounting model, providing data on national resource requirements and costs of external beam radiotherapy (EBRT), was developed. MATERIALS AND METHODS: Time-driven activity-based costing (TD-ABC) was applied from the healthcare provider perspective at national level. TD-ABC allocates resource costs to treatment courses through the activities performed, based on time estimates. RESULTS: The model is structured in three layers. The central layer, EBRT-Core, accounts for EBRT care-pathway activities and follows TD-ABC allocation principles. Activities supporting radiation oncology (RO) (RO-Support) and multidisciplinary oncology (Beyond-EBRT) follow standard allocation principles. To demonstrate the model's capabilities, a dataset was constructed for the hypothetical country Europalia, based on published evidence on resources and treatments, whereas time estimates were expert opinions. Applying the TD-ABC model to this example, treatment delivery activities represent 68.4% of the costs; treatment preparation 31.6%. The cost per course shows large variation for different indications, techniques, and fractionation schedules, ranging between €838 and €7193. Resource utilization was estimated to be within the available capacity. Scenario analyses on changes in fractionation and treatment complexity are presented. The ESTRO-HERO TD-ABC tool can model EBRT costs and resource requirements. While the Europalia example illustrates its potential, the results cannot be generalized nor used as a proxy for national evidence. Only real-world data, tailored to the specificities of individual countries, will support National Radiation Oncology Societies with investment planning and access to innovative radiotherapy.


Subject(s)
Models, Economic , Neoplasms/radiotherapy , Radiation Oncology/economics , Radiotherapy/economics , Costs and Cost Analysis , Data Collection , European Union , Health Resources/economics , Humans , Neoplasms/economics , Radiotherapy/methods
2.
Radiother Oncol ; 91(3): 386-92, 2009 Jun.
Article in English | MEDLINE | ID: mdl-19329207

ABSTRACT

BACKGROUND AND PURPOSE: Non-small cell lung cancer (NSCLC) tumours are mostly heterogeneous. We hypothesized that areas within the tumour with a high pre-radiation (18)F-deoxyglucose (FDG) uptake, could identify residual metabolic-active areas, ultimately enabling selective-boosting of tumour sub-volumes. MATERIAL AND METHODS: Fifty-five patients with inoperable stage I-III NSCLC treated with chemo-radiation or with radiotherapy alone were included. For each patient one pre-radiotherapy and one post-radiotherapy FDG-PET-CT scans were available. Twenty-two patients showing persistent FDG uptake in the primary tumour after radiotherapy were analyzed. Overlap fractions (OFs) were calculated between standardized uptake value (SUV) threshold-based auto-delineations on the pre- and post-radiotherapy scan. RESULTS: Patients with residual metabolic-active areas within the tumour had a significantly worse survival compared to individuals with a complete metabolic response (p=0.002). The residual metabolic-active areas within the tumour largely corresponded (OF>70%) with the 50%SUV high FDG uptake area of the pre-radiotherapy scan. The hotspot within the residual area (90%SUV) was completely within the GTV (OF=100%), and had a high overlap with the pre-radiotherapy 50%SUV threshold (OF>84%). CONCLUSIONS: The location of residual metabolic-active areas within the primary tumour after therapy corresponded with the original high FDG uptake areas pre-radiotherapy. Therefore, a single pre-treatment FDG-PET-CT scan allows for the identification of residual metabolic-active areas.


Subject(s)
Carcinoma, Non-Small-Cell Lung/metabolism , Fluorodeoxyglucose F18/pharmacokinetics , Lung Neoplasms/metabolism , Radiopharmaceuticals/pharmacokinetics , Adult , Aged , Aged, 80 and over , Carcinoma, Non-Small-Cell Lung/diagnostic imaging , Carcinoma, Non-Small-Cell Lung/pathology , Carcinoma, Non-Small-Cell Lung/radiotherapy , Female , Humans , Lung Neoplasms/diagnostic imaging , Lung Neoplasms/pathology , Lung Neoplasms/radiotherapy , Male , Middle Aged , Neoplasm Staging , Positron-Emission Tomography , Proportional Hazards Models , Radiotherapy Planning, Computer-Assisted , Statistics, Nonparametric , Survival Rate , Tomography, X-Ray Computed , Treatment Outcome
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