Methodological issues in radiation dose-volume outcome analyses: Summary of a joint AAPM/NIH workshop

被引:47
作者
Deasy, JO
Niemierko, A
Herbert, D
Yan, D
Jackson, A
Ten Haken, RK
Langer, M
Sapareto, S
机构
[1] Washington Univ, Sch Med, Dept Radiat Oncol, St Louis, MO 63110 USA
[2] Harvard Univ, Sch Med, Boston, MA 02114 USA
[3] Massachusetts Gen Hosp, Boston, MA 02114 USA
[4] Univ S Alabama, Coll Med, Mobile, AL 36617 USA
[5] William Beaumont Hosp, Royal Oak, MI 48073 USA
[6] Mem Sloan Kettering Canc Ctr, New York, NY 10021 USA
[7] Univ Michigan, Ann Arbor, MI 48109 USA
[8] Indiana Univ, Indianapolis, IN 46202 USA
[9] Good Samaritan Reg Med Ctr, Phoenix, AZ 85006 USA
关键词
outcomes analysis; TCP; NTCP; volume effects;
D O I
10.1118/1.1501473
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
This report represents a summary of presentations at a joint workshop of the National Institutes of Health and the American Association of Physicists in Medicine (AAPM). Current methodological issues in dose-volume modeling are addressed here from several different perspectives. Areas of emphasis include (a) basic modeling issues including the equivalent uniform dose framework and the bootstrap method, (b) issues in the valid use of statistics, including the need for meta-analysis, (c) issues in dealing with organ deformation and its effects on treatment response, (d) evidence for volume effects for rectal complications, (e) the use of volume effect data in liver and lung as a basis for dose escalation studies, and (f) implications of uncertainties in volume effect knowledge on optimized treatment planning. Taken together, these approaches to studying volume effects describe many implications for the development and use of this information in radiation oncology practice. Areas of significant interest for further research include the meta-analysis of clinical data; inter-institutional pooled data analyses of volume effects; analyses of the uncertainties in outcome prediction models, minimal parameter number outcome models for ranking treatment plans (e.g., equivalent uniform dose); incorporation of the effect of motion in the outcome prediction; dose-escalation/isorisk protocols based on outcome models; the use of functional imaging to study radio-response; and the need for further small animal tumor control probability/normal tissue complication probability studies. (C) 2002 American Association of Physicists in Medicine.
引用
收藏
页码:2109 / 2127
页数:19
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