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SU‐E‐T‐755: A Methodology for Evaluating the Clinical and Dosimetric Impact Resulting from the Change of a Calculation Algorithm in Radiotherapy
Author(s) -
Chaikh A,
Giraud J
Publication year - 2011
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3612719
Subject(s) - imaging phantom , algorithm , dosimetry , nuclear medicine , dose volume histogram , radiation therapy , mathematics , head and neck , histogram , medicine , radiation treatment planning , statistics , computer science , radiology , surgery , artificial intelligence , image (mathematics)
Purpose: The validation of a treatment plan is based on the analysis of dose distributions. The dose distributions are calculated by algorithms implanted in TPS. So, the changing of an algorithm must be preceded by a complete dosimetric analysis in order to provide a method for controlling the clinical impact of this change. We present in this study the methodology used for implementing a new TPS in our clinic Methods: We used five algorithms for dose calculation: Clarkson, PBC, Batho Power Law, modified Batho and EqTAR. We compared six treatment plans with identical configurations: 2 plans without heterogeneity correction and 4 with density correction. We have compared nine tumours locations: 4 lungs, 1 oesophagus, 1 breast, 1 head and neck, 1 brain and 1 prostate. We used a phantom to compare calculated and measured doses. We compared the following parameters: monitors units, HDV, isodoses, covering index, index of homogeneity, conformity index, biological index and gamma index. We analyzed the results using a statistical evaluation. Results: The gamma index and histogram gamma generated for a CT slice can be used to compare various algorithms and radiotherapy plans. We found a difference in all parameters compared when the algorithm is changed. For example, we found a 5% difference in monitors units and 7% in dose for the pulmonary cancer case, when we change from PBC to EqTAR .This may leads to an increased of 30% in the complication rate. The statistical evaluation serves as a rapid interpretation and diagnostic of dosimetric differences and allows the determination of the significance of these differences Conclusions: We proposed a methodology that allows the quantification of dosimetric variation during the change of calculation algorithm in radiotherapy. This methodology provides a valuable technique for quantitative comparison of various algorithms and radiotherapy plans.
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