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

机译:具有新可视化方法的动态CT对肺结核增强径向分布的新可视化方法的敏感性

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For differential diagnosis of pulmonary nodules, assessment of contrast enhancement at chest CT scans after administration of contrast agent has been suggested. Likelihood of malignancy is considered very low if the contrast enhancement is lower than a certain threshold (10–20 HU). Automated average density measurement methods have been developed for that purpose. However, a certain fraction of malignant 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 method of showing not only a single averaged contrast enhancement number, but a more detailed enhancement curve for each nodule, 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 known from biopsy or follow-up for more than 24 months. For each nodule dynamic CT scans were available: the unenhanced native scan and scans after 60, 120, 180 and 240 seconds after onset of contrast injection (1 – 4 mm reconstructed slice thickness). The suggested method for measurement and visualization of contrast enhancement as radially resolved curves has reduced false negative results (apparently unenhancing but truly malignant nodules), and thus improved sensitivity. It proved to be a valuable tool for differential diagnosis between malignant and benign lesions using dynamic CT.
机译:对于肺结节的鉴别诊断,提出了胸腔CT扫描在施用造影剂后对比增强的评估。如果对比度增强低于某个阈值(10-20胡),恶性肿瘤的可能性被认为非常低。为此目的开发了自动平均密度测量方法。然而,当在整个结节体积上平均时,某部分恶性结节不会表现出显着的增强。本文的目的是测试一种降低假阴性结果的新方法。我们研究了一种不仅示出单个平均对比度增强号的方法,而是每个结节的更详细的增强曲线,示出了作为与边界距离的函数的增强。由11个恶性和11个良性肺病变组成的试验集用于验证,诊断从活组织检查或后续服用超过24个月。对于每个结节,动态CT扫描可用:在对比度注入后60,120,180和240秒后,未加入的本机扫描和扫描(1-4mm重建切片厚度)。对径向分辨曲线的对比度增强的测量和可视化的建议方法减少了假阴性结果(显然未加入但真正恶性结节),从而提高了灵敏度。它被证明是使用动态CT的恶性和良性病变之间的鉴别诊断的重要工具。

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