Abstract
Objective
We studied the application of CT image fusion in the evaluation of radiation treatment planning for non-small cell lung cancer (NSCLC).
Methods
Eleven patients with NSCLC, who were treated with three-dimensional conformal radiation therapy, were studied. Each patient underwent twice sequential planning CT scan, i.e., at pre-treatment, and at mid-treatment for field reduction planning. Three treatment plans were established in each patient: treatment plan A was based on the pre-treatment planning CT scans for the first course of treatment, plan B on the mid-treatment planning CT scans for the second course of treatment, and treatment plan F on the fused images for the whole treatment. The irradiation doses received by organs at risk in the whole treatment with treatment A and B plans were estimated by the plus of the parameters in treatment plan A and B, assuming that the parameters involve the different tissues (i.e. V20 = AV20 + BV20), or the same tissues within an organ (i.e. Dmax = ADmax + BDmax). The assessment parameters in the treatment plan F were calculated on the basis of the DVH of the whole treatment. Then the above assessment results were compared.
Results
There were marked differences between the assessment results derived from the plus of assessment parameters in treatment plan A and B, and the ones derived from treatment plan F.
Conclusion
When a treatment plan is altered during the course of radiation treatment, image fusion technique should be performed in the establishment of a new one. The estimation of the assessment parameters for the whole treatment with treatment plan A and B by simple plus, is inaccurate.
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Supported by a grant from the Key Program of Science and Technology Foundation of Hubei Province (No. 2007A301B33).
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Ge, W., Yuan, G., Li, C. et al. CT image fusion in the evaluation of radiation treatment planning for non-small cell lung cancer. Chin. -Ger. J. Clin. Oncol. 7, 315–318 (2008). https://doi.org/10.1007/s10330-008-0021-3
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DOI: https://doi.org/10.1007/s10330-008-0021-3