QUANTEC 经验教训：关于报告和收集与治疗结果的剂量-体积依赖性相关数据的建议。
The lessons of QUANTEC: recommendations for reporting and gathering data on dose-volume dependencies of treatment outcome.
机构信息
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
出版信息
Int J Radiat Oncol Biol Phys. 2010 Mar 1;76(3 Suppl):S155-60. doi: 10.1016/j.ijrobp.2009.08.074.
Abstract
The 16 clinical articles in this issue review the dose-volume dependence of toxicities of external beam radiotherapy. They are limited by the difficulty of synthesizing results from different publications. The major problems stem from incomplete reporting of results and use of incompatible or ambiguous endpoints. Here we specify these problems; give recommendations to authors, editors, and reviewers on standards of reporting; and provide methods of defining endpoints suitable for the dose-volume analysis of toxicity. Adopting these recommendations will facilitate meta-analysis and increase the utility of individual studies of the dependence of complications on dose distributions.
摘要
本期的 16 篇临床文章回顾了外照射放疗毒性的剂量-体积依赖性。它们受到从不同出版物综合结果的困难所限制。主要问题源于结果报告的不完整和使用不兼容或模糊的终点。在这里，我们具体说明了这些问题；就报告标准向作者、编辑和审稿人提出建议；并提供了适用于毒性剂量-体积分析的终点定义方法。采用这些建议将有助于荟萃分析，并提高对并发症与剂量分布关系的个体研究的实用性。
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本文引用的文献
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2
A nomogram to predict radiation pneumonitis, derived from a combined analysis of RTOG 9311 and institutional data.
Int J Radiat Oncol Biol Phys. 2007 Nov 15;69(4):985-92. doi: 10.1016/j.ijrobp.2007.04.077. Epub 2007 Aug 6.
3
The atlas of complication incidence: a proposal for a new standard for reporting the results of radiotherapy protocols.
Semin Radiat Oncol. 2006 Oct;16(4):260-8. doi: 10.1016/j.semradonc.2006.04.009.
4
Dose-volume modeling of the risk of postoperative pulmonary complications among esophageal cancer patients treated with concurrent chemoradiotherapy followed by surgery.
Int J Radiat Oncol Biol Phys. 2006 Nov 1;66(3):754-61. doi: 10.1016/j.ijrobp.2006.06.002. Epub 2006 Sep 11.
5
Final toxicity results of a radiation-dose escalation study in patients with non-small-cell lung cancer (NSCLC): predictors for radiation pneumonitis and fibrosis.
Int J Radiat Oncol Biol Phys. 2006 Jul 15;65(4):1075-86. doi: 10.1016/j.ijrobp.2006.01.051. Epub 2006 May 2.
6
Modeling radiation pneumonitis risk with clinical, dosimetric, and spatial parameters.
Int J Radiat Oncol Biol Phys. 2006 May 1;65(1):112-24. doi: 10.1016/j.ijrobp.2005.11.046.
7
Sparing of the submandibular glands by intensity modulated radiotherapy in the treatment of head and neck cancer.
Radiother Oncol. 2006 Mar;78(3):270-5. doi: 10.1016/j.radonc.2006.02.017. Epub 2006 Mar 27.
8
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9
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10
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