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Characteristics of false positive findings in CT Colonography CAD: acomparison of two fecal tagging regimens

机译:CT上校成分中误阳性发现的特征:两种粪便标记方案的比较

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The successful application of Computer Aided Detection schemes to CT Colonography depends not only on their performances in terms of sensitivity and specificity, but also on the interaction with the radiologist, and thus ultimately on factors such as the nature of CAD prompts and the reading paradigm. Fecal tagging is emerging as a widely accepted technique for patient preparation, and patient-friendlier schemes are being proposed in an effort to increase compliance to screening programs; the interaction between CAD and FT regimens should likewise be taken into account. In this scenario, an analysis of the characteristics of CAD prompts is of paramount importance in order to guide further research, both from clinical and technical viewpoints. The CAD scheme analyzed in this paper is essentially composed of five steps: electronic cleansing, colon surface extraction, polyp candidate segmentation, pre-filtering of residual tagged stool and classification of the generated candidates in true polyps vs. false alarms. False positives were divided into six categories: untagged and tagged solid stool, haustral folds, extra-colonic candidates, ileocecal valve and cleansing artifacts. A full cathartic preparation was compared with a semi-cathartic regimen with sameday fecal tagging, which is characterized by higher patient acceptance but also higher inhomogeneity. The distribution of false positives at segmentation reflects the quality of preparation, as more inhomogeneous tagging results in a higher number of untagged solid stool and cleansing artifacts.
机译:计算机辅助检测方案的成功应用于CT结肠内影方案不仅取决于它们在敏感性和特异性方面的性能,还取决于与放射科学家的相互作用,因此最终对CAD提示和读取范例等因素。粪便标记作为患者准备的广泛接受的技术,正在提出患者友好的计划,以增加对筛查计划的依从性;同样应考虑CAD和FT方案之间的相互作用。在这种情况下,对CAD提示的特征分析至关重要,以指导来自临床和技术观点的进一步研究。本文分析的CAD方案基本上由五个步骤组成:电子清洁,结肠表面提取,息肉候选分割,剩余标记粪便的预滤波和真正息肉中所生成的候选者的分类与误报。假阳性分为六个类别:未标记和标记的固体凳子,外壳折叠,外结肠候选物,回肠阀和清洁伪影。将一个完整的泻药制剂与Sameday Fecal标记进行了比较,其特征在于患者验收更高,但也具有更高的不均匀性。在分割时的假阳性分布反映了准备的质量,随着更多的不均匀标记导致更高数量的未标记的固体粪便和清洁伪影。

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