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Improved sensitivity of dynamic CT with a new visualization method for radial distribution of lung nodule enhancement

机译:利用新的可视化方法增强肺结节放射状分布的动态可视化方法提高了动态CT的敏感性

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For differential diagnosis of pulmonary nodules, assessment of contrast enhancement at chest CT scans afteradministration of contrast agent has been suggested. Likelihood of malignancy is considered very low if the contrastenhancement is lower than a certain threshold (10–20 HU).Automated average density measurement methods have been developed for that purpose. However, a certain fraction ofmalignant nodules does not exhibit significant enhancement when averaged over the whole nodule volume.The purpose of this paper is to test a new method for reduction of false negative results. We have investigated a methodof showing not only a single averaged contrast enhancement number, but a more detailed enhancement curve for eachnodule, showing the enhancement as a function of distance to boundary.A test set consisting of 11 malignant and 11 benign pulmonary lesions was used for validation, with diagnoses knownfrom biopsy or follow-up for more than 24 months. For each nodule dynamic CT scans were available: the unenhancednative scan and scans after 60, 120, 180 and 240 seconds after onset of contrast injection (1 – 4 mm reconstructed slicethickness).The suggested method for measurement and visualization of contrast enhancement as radially resolved curves hasreduced false negative results (apparently unenhancing but truly malignant nodules), and thus improved sensitivity. Itproved to be a valuable tool for differential diagnosis between malignant and benign lesions using dynamic CT.
机译:为了鉴别诊断肺结节,已建议在给予造影剂后在胸部CT扫描中评估造影剂的增强作用。如果对比增强度低于某个阈值(10–20 HU),则恶性可能性很低。为此已经开发了自动平均密度测量方法。然而,在整个结节体积上取平均值时,一定比例的恶性结节并没有表现出明显的增强。本文的目的是测试一种减少假阴性结果的新方法。我们研究了一种不仅显示单个平均对比度增强数,而且还显示每个结节更详细的增强曲线的方法,该曲线显示了与边界距离的函数关系。使用11个恶性和11个良性肺部病变组成的测试集通过活检或随访已知的诊断超过24个月。对于每个结节,都可以进行动态CT扫描:无增强扫描以及在造影剂注射开始后60、120、180和240秒(1-4 mm重建切片厚度)后进行扫描。建议采用径向分辨的方法测量和可视化造影剂曲线减少了假阴性结果(显然没有增强,但实际上是恶性结节),因此提高了灵敏度。它被证明是使用动态CT鉴别恶性和良性病变的有价值的工具。

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