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  • 标题:Radiobiological model-based bio-anatomical quality assurance in intensity-modulated radiation therapy for prostate cancer
  • 本地全文:下载
  • 作者:J.-Y. Park ; J.-W. Lee ; J.-B. Chung
  • 期刊名称:Journal of Radiation Research
  • 印刷版ISSN:0449-3060
  • 电子版ISSN:1349-9157
  • 出版年度:2012
  • 卷号:53
  • 期号:6
  • 页码:978-988
  • DOI:10.1093/jrr/rrs049
  • 摘要:A bio-anatomical quality assurance (QA) method employing tumor control probability (TCP) and normal tissue complication probability (NTCP) is described that can integrate radiobiological effects into intensity-modulated radiation therapy (IMRT). We evaluated the variations in the radiobiological effects caused by random errors (r-errors) and systematic errors (s-errors) by evaluating TCP and NTCP in two groups: patients with an intact prostate (G(intact)) and those who have undergone prostatectomy (G(tectomy)). The r-errors were generated using an isocenter shift of ±1 mm to simulate a misaligned patient set-up. The s-errors were generated using individual leaves that were displaced inwardly and outwardly by 1 mm on multileaf collimator field files. Subvolume-based TCP and NTCP were visualized on computed tomography (CT) images to determine the radiobiological effects on the principal structures. The bio-anatomical QA using the TCP and NTCP maps differentiated the critical radiobiological effects on specific volumes, particularly at the anterior rectal walls and planning target volumes. The s-errors showed a TCP variation of -40-25% in G(tectomy) and -30-10% in G(intact), while the r-errors were less than 1.5% in both groups. The r-errors for the rectum and bladder showed higher NTCP variations at ±20% and ±10%, respectively, and the s-errors were greater than ±65% for both. This bio-anatomical method, as a patient-specific IMRT QA, can provide distinct indications of clinically significant radiobiological effects beyond the minimization of probable physical dose errors in phantoms.
  • 关键词:Bio-anatomical quality assurance; tumor control probability; normal tissue complication probability; intensity-modulated radiation therapy; prostate cancer
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