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Activity Number:
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512
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Type:
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Contributed
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Date/Time:
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Thursday, August 10, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #306466 |
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Title:
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A Mixed Model Analysis of Errors in Radiotherapy
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Author(s):
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Alai Tan*+ and Giuseppe Sanguineti and Daniel H. Freeman
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Companies:
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The University of Texas Medical Branch and The University of Texas Medical Branch and The University of Texas Medical Branch
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Address:
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301 University Blvd., Galveston, TX, 77555-1148,
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Keywords:
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mixed model ; error estimation ; radiotherapy
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Abstract:
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The accuracy of radiotherapy is limited by various error sources introduced during treatment preparation and execution. The estimation of errors is critical to generate a safety margin to improve the effectiveness of radiotherapy. Although methods for quantifying the errors were well established, to our knowledge, mixed model methods have never been reported. The present study used a mixed model to estimate errors in radiotherapy of a sample of patients with prostate cancer. We found that the mixed model analysis could match the systematic test almost exactly. This suggests the mixed model approach provides a standard methodology, which is well understood and has the advantage of accounting for within-patient correlation, in estimating errors in radiotherapy.
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