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本文引用的文献

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PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.正电子发射断层扫描(PET)引导的放射治疗靶区勾画:图像分割技术调查。
Eur J Nucl Med Mol Imaging. 2010 Nov;37(11):2165-87. doi: 10.1007/s00259-010-1423-3. Epub 2010 Mar 25.
2
Multiinstitutional study on target volume delineation variation in breast radiotherapy in the presence of guidelines.多机构研究:在存在指南的情况下,乳腺癌放疗靶区勾画的变化。
Radiother Oncol. 2010 Mar;94(3):286-91. doi: 10.1016/j.radonc.2010.01.009. Epub 2010 Mar 2.
3
Delineation guidelines for organs at risk involved in radiation-induced salivary dysfunction and xerostomia.放射性涎腺功能损伤和口干相关危险器官勾画指南。
Radiother Oncol. 2009 Dec;93(3):545-52. doi: 10.1016/j.radonc.2009.09.008. Epub 2009 Oct 21.
4
A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck.基于图谱的头颈部自动分割工具的临床前评估。
Radiother Oncol. 2009 Dec;93(3):474-8. doi: 10.1016/j.radonc.2009.08.013. Epub 2009 Sep 14.
5
Development of RTOG consensus guidelines for the definition of the clinical target volume for postoperative conformal radiation therapy for prostate cancer.制定 RTOG 共识指南,以定义前列腺癌术后适形放射治疗的临床靶区。
Int J Radiat Oncol Biol Phys. 2010 Feb 1;76(2):361-8. doi: 10.1016/j.ijrobp.2009.02.006. Epub 2009 Apr 23.
6
The delineation of target volumes for radiotherapy of lung cancer patients.肺癌患者放射治疗靶区的勾画。
Radiother Oncol. 2009 Jun;91(3):455-60. doi: 10.1016/j.radonc.2009.03.014. Epub 2009 Mar 30.
7
Variability of target and normal structure delineation for breast cancer radiotherapy: an RTOG Multi-Institutional and Multiobserver Study.乳腺癌放疗中靶区和正常结构勾画的变异性:一项RTOG多机构多观察者研究
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Elective clinical target volumes for conformal therapy in anorectal cancer: a radiation therapy oncology group consensus panel contouring atlas.肛管直肠癌适形治疗的选择性临床靶区:放射肿瘤学组共识专家组勾画图谱
Int J Radiat Oncol Biol Phys. 2009 Jul 1;74(3):824-30. doi: 10.1016/j.ijrobp.2008.08.070. Epub 2008 Dec 29.
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Variation in the definition of clinical target volumes for pelvic nodal conformal radiation therapy for prostate cancer.前列腺癌盆腔淋巴结适形放射治疗临床靶区定义的差异。
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10
A method to calculate coverage probability from uncertainties in radiotherapy via a statistical shape model.一种通过统计形状模型从放射治疗的不确定性中计算覆盖概率的方法。
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用于放射治疗结构定义专家轮廓共识分析的工具。

Tools for consensus analysis of experts' contours for radiotherapy structure definitions.

机构信息

Washington University, Saint Louis, MO, USA.

出版信息

Radiother Oncol. 2010 Dec;97(3):572-8. doi: 10.1016/j.radonc.2010.06.009. Epub 2010 Aug 11.

DOI:10.1016/j.radonc.2010.06.009
PMID:20708285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3116271/
Abstract

BACKGROUND AND PURPOSE

To demonstrate and examine the ability of a newly developed software tool to estimate and analyze consensus contours from manually created contours by expert radiation oncologists.

MATERIAL AND METHODS

Several statistical methods and a graphical user interface were developed. For evaluation purposes, we used three breast cancer CT scans from the RTOG Breast Cancer Atlas Project. Specific structures were contoured before and after the experts' consensus panel meeting. Differences in the contours were evaluated qualitatively and quantitatively by the consensus software tool. Estimates of consensus contours were analyzed for the different structures and Dice-similarity and Dice-Jaccard coefficients were used for comparative evaluation.

RESULTS

Based on kappa statistics, highest levels of agreement were seen in the left-breast, lumpectomy, and heart. Significant improvements between pre- and post-consensus contours were seen in delineation of the chestwall and breasts while significant variations were noticed in the supraclavicular and internal mammary nodes. Dice calculations for all pre-consensus STAPLE estimations and final consensus panel structures reached 0.80 or greater for the heart, left/right-breast, case-A lumpectomy, and chestwall.

CONCLUSIONS

Using the consensus software tool incorporating STAPLE estimates provided the ability to create contours similar to the ones generated by expert physicians.

摘要

背景与目的

展示并检验一款新开发的软件工具,以估算和分析由资深放射肿瘤学家手动勾画的轮廓的共识。

材料与方法

开发了几种统计方法和图形用户界面。为了评估目的,我们使用了 RTOG 乳腺癌图谱项目中的三个乳腺癌 CT 扫描。在专家共识小组会议之前和之后对特定结构进行了轮廓勾画。使用共识软件工具对轮廓差异进行定性和定量评估。分析了不同结构的共识轮廓估计值,并使用 Dice 相似性和 Dice-Jaccard 系数进行了比较评估。

结果

根据 Kappa 统计,左乳、保乳和心脏的一致性水平最高。在勾画胸壁和乳房时,前共识和后共识轮廓之间的差异有显著改善,而锁骨上和内乳淋巴结的差异则有显著变化。所有前共识 STAPLE 估算值和最终共识小组结构的 Dice 计算值,对于心脏、左右乳房、病例 A 保乳和胸壁,均达到 0.80 或更高。

结论

使用包含 STAPLE 估算值的共识软件工具,能够创建与专家医生生成的轮廓相似的轮廓。