Published October 1, 1996 | Version v1
Journal article

Radiobiologically based assessments of the net costs of fractionated radiotherapy

Description

Purpose: To examine how the long-term costs of radiation therapy may be influenced by modifications to fractionation schemes, and how any improvements in tumor control might, in principle, be translated into a potential cost saving for the responsible healthcare organization. Methods and Materials: Standard radiobiological modeling based on the linear-quadratic (LQ) model is combined with financial parameters relating to the estimated costs of different aspects of radiotherapy treatment delivery. The cost model includes provision for the long-term costs of treatment failure and enables the extra costs of near optimal radiotherapy to be balanced against suboptimal alternatives, which are more likely to be associated with further radiotherapy, salvage surgery, and continuing care. Results: A number of caveats are essential in presenting a model such as this for the first time, and these are clearly stated. However, a recurring observation is that, in terms of the whole cost of supporting a patient from first radiotherapy treatment onwards, high quality radiotherapy (i.e., based on individual patterns of fractionation that are near optimal for particular subpopulations of tumor) will frequently be associated with the lowest global cost. Conclusions: This work adds weight to the case for identifying fast and accurate predictive assay techniques, and supports the argument that suboptimal radiotherapy is usually more costly in the long term. Although the article looks only at the cost-benefit consequences of altered patterns of fractionation, the method will, in principle, have application to other changes in the way radiotherapy can be performed, e.g., to examining the cost-benefit aspects of tumor dose escalation as a consequence of using advanced conformal treatment planning

Additional details

Identifiers

PII
S0360301696003756;

Publishing Information

Journal Title
International Journal of Radiation Oncology, Biology and Physics
Journal Volume
36
Journal Issue
3
Journal Page Range
p. 739-746
ISSN
0360-3016
CODEN
IOBPD3

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
35009150
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
CARCINOMAS; COST BENEFIT ANALYSIS; FRACTIONATED IRRADIATION; OPTIMIZATION; RADIOBIOLOGY; RADIOTHERAPY
Descriptors DEC
BIOLOGY; DISEASES; ECONOMIC ANALYSIS; ECONOMICS; IRRADIATION; MEDICINE; NEOPLASMS; NUCLEAR MEDICINE; RADIOLOGY; THERAPY

Optional Information

Copyright
Copyright (c) 1996 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.