A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom.
A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom.
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DOI：
10.1364/oe.18.015244
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发表时间：
2010-07-05
期刊：
影响因子：
3.8
通讯作者：
Petrick N
中科院分区：
文献类型：
--
作者：
Gavrielides MA;Kinnard LM;Myers KJ;Peregoy J;Pritchard WF;Zeng R;Esparza J;Karanian J;Petrick N
许多相互关联的因素可以影响肺结节大小估计的精确度和准确度。为了量化这些因素的影响，我们一直在进行体模CT研究，使用拟人胸部体模，其中包含插入或连接合成结节的血管插入物。在不同的多探测器扫描仪上采集了10次重复扫描，使用了几组采集和重建协议以及各种结节特征（大小、形状、密度、位置）。本研究设计可对结节大小估计任务进行偏倚和方差分析。由此产生的数据库正在向公众开放，作为一种资源，以促进评估肺结节大小估计方法，并能够就测量误差对不同方法进行比较。该资源补充了公共临床数据数据库，并将有助于开发最大限度地利用CT成像进行肺癌筛查和肿瘤治疗评估的程序。
A number of interrelated factors can affect the precision and accuracy of lung nodule size estimation. To quantify the effect of these factors, we have been conducting phantom CT studies using an anthropomorphic thoracic phantom containing a vasculature insert to which synthetic nodules were inserted or attached. Ten repeat scans were acquired on different multi-detector scanners, using several sets of acquisition and reconstruction protocols and various nodule characteristics (size, shape, density, location). This study design enables both bias and variance analysis for the nodule size estimation task. The resulting database is in the process of becoming publicly available as a resource to facilitate the assessment of lung nodule size estimation methodologies and to enable comparisons between different methods regarding measurement error. This resource complements public databases of clinical data and will contribute towards the development of procedures that will maximize the utility of CT imaging for lung cancer screening and tumor therapy evaluation.