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本文引用的文献

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New developments in observer performance methodology in medical imaging.医学影像中观察者性能方法学的新进展。
Semin Nucl Med. 2011 Nov;41(6):401-18. doi: 10.1053/j.semnuclmed.2011.07.001.
2
ROC analysis in medical imaging: a tutorial review of the literature.医学成像中的ROC分析:文献综述教程
Radiol Phys Technol. 2008 Jan;1(1):2-12. doi: 10.1007/s12194-007-0002-1. Epub 2007 Oct 27.
3
A status report on free-response analysis.自由反应分析的状态报告。
Radiat Prot Dosimetry. 2010 Apr-May;139(1-3):20-5. doi: 10.1093/rpd/ncp305. Epub 2010 Jan 18.
4
The efficiency of the human observer for lesion detection and localization in emission tomography.人类观察者在发射断层扫描中进行病变检测和定位的效率。
Phys Med Biol. 2009 May 7;54(9):2651-66. doi: 10.1088/0031-9155/54/9/004. Epub 2009 Apr 8.
5
Evaluation of Multiclass Model Observers in PET LROC Studies.正电子发射断层扫描(PET)局部参考标准(LROC)研究中多类模型观察者的评估。
IEEE Trans Nucl Sci. 2007;54:116-123. doi: 10.1109/TNS.2006.889163.
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Receiver operating characteristic analysis: a tool for the quantitative evaluation of observer performance and imaging systems.接收器操作特性分析:一种用于定量评估观察者表现和成像系统的工具。
J Am Coll Radiol. 2006 Jun;3(6):413-22. doi: 10.1016/j.jacr.2006.02.021.
7
Spatial localization accuracy of radiologists in free-response studies: Inferring perceptual FROC curves from mark-rating data.自由反应研究中放射科医生的空间定位准确性:从标记评分数据推断感知FROC曲线。
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Free-response receiver operating characteristic evaluation of lossy JPEG2000 and object-based set partitioning in hierarchical trees compression of digitized mammograms.数字化乳腺X线摄影的有损JPEG2000和基于对象的分层树集分割压缩的自由响应接收器操作特性评估
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Effects of lesion conspicuity on visual search in mammogram reading.病变显著性对乳腺钼靶阅读中视觉搜索的影响。
Acad Radiol. 2005 Jul;12(7):830-40. doi: 10.1016/j.acra.2005.03.068.
10
Importance and effects of altered workplace ergonomics in modern radiology suites.现代放射科套房中工作场所人体工程学改变的重要性和影响。
Radiographics. 2004 Mar-Apr;24(2):615-27. doi: 10.1148/rg.242035089.

在自由反应观测者绩效研究中接受半径的选择。

On the choice of acceptance radius in free-response observer performance studies.

机构信息

The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

出版信息

Br J Radiol. 2013 Jan;86(1021):42313554. doi: 10.1259/bjr/42313554. Epub 2012 May 9.

DOI:10.1259/bjr/42313554
PMID:22573302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3615402/
Abstract

OBJECTIVES

Choosing an acceptance radius or proximity criterion is necessary to analyse free-response receiver operating characteristic (FROC) observer performance data. This is currently subjective, with little guidance in the literature about what is an appropriate acceptance radius. We evaluated varying acceptance radii in a nodule detection task in chest radiography and suggest guidelines for determining an acceptance radius.

METHODS

80 chest radiographs were chosen, half of which contained nodules. We determined each nodule's centre. 21 radiologists read the images. We created acceptance radii bins of <5 pixels, <10 pixels, <20 pixels and onwards up to <200 and 200+ pixels. We counted lesion localisations in each bin and visually compared marks with the borders of nodules.

RESULTS

Most reader marks were tightly clustered around nodule centres, with tighter clustering for smaller than for larger nodules. At least 70% of readers' marks were placed within <10 pixels for small nodules, <20 pixels for medium nodules and <30 pixels for large nodules. Of 72 inspected marks that were less than 50 pixels from the centre of a nodule, only 1 fell outside the border of a nodule.

CONCLUSION

The acceptance radius should be based on the larger nodule sizes. For our data, an acceptance radius of 50 pixels would have captured all but 2 reader marks within the borders of a nodule, while excluding only 1 true-positive mark. The choice of an acceptance radius for FROC analysis of observer performance studies should be based on the size of larger abnormalities.

摘要

目的

选择可接受半径或接近标准对于分析自由响应接收器工作特性(FROC)观察者性能数据是必要的。这目前是主观的,文献中几乎没有关于适当的可接受半径的指导。我们在胸部放射摄影中的结节检测任务中评估了不同的可接受半径,并提出了确定可接受半径的指南。

方法

选择了 80 张胸部 X 光片,其中一半包含结节。我们确定了每个结节的中心。21 名放射科医生阅读了这些图像。我们创建了接受半径为<5 像素、<10 像素、<20 像素及以上直至<200 和 200+像素的箱。我们在每个箱中计数病变的定位,并与结节的边界进行视觉比较。

结果

大多数读者的标记紧密地聚集在结节中心周围,对于较小的结节比对于较大的结节更紧密地聚集。对于小的结节,至少 70%的读者的标记被放置在<10 像素以内,对于中等大小的结节,<20 像素以内,对于大的结节,<30 像素以内。在距离结节中心小于 50 像素的 72 个检查标记中,只有 1 个标记位于结节边界之外。

结论

可接受半径应基于较大的结节尺寸。对于我们的数据,50 像素的可接受半径将除了 2 个标记之外,所有的读者标记都捕获在结节的边界内,同时仅排除了 1 个真正的阳性标记。选择 FROC 分析观察者性能研究的可接受半径应基于较大异常的大小。