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首页> 外文期刊>ANZ journal of surgery >Different approaches to volume assessment of lymph nodes in computer tomography scans of head and neck squamous cell carcinoma in comparison with a real gold standard
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Different approaches to volume assessment of lymph nodes in computer tomography scans of head and neck squamous cell carcinoma in comparison with a real gold standard

机译:与真实金标准比较,在头颈部鳞状细胞癌的计算机断层扫描中采用不同的方法评估淋巴结的体积

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Background: Volume assessment in head and neck squamous cell carcinoma (HNSCC) is becoming a more and more clinical important parameter, especially in treatment planning and response control. Various authors showed a significant impact of tumour volume on treatment outcome and local control. Regarding the increasing impact of induction chemotherapy and primary chemoradiation on HNSCC, the need for an adequate measuring tool to judge treatment response becomes obvious. This study was performed to compare the momentary 'gold standard', the diameter-based approach, and tumour volume assessment in HNSCC with approaches based on segmentation algorithms in computer tomography (CT) scans. Methods: CT scans were taken as part of the standardized staging investigations. Using these image data, 30 lymph nodes were defined and segmented. The segmentations were carried out with the newly developed software called 'NeckSegmenter'. After obtaining informed consent from the patient, neck dissection was performed and the excised lymph nodes underwent analysis of their true volume. The datasets were compared with each other and put in correlation with the segmented volumes. Results: Pearson's correlation index showed a higher correlation of the segmented volumes (r = 0.7979) with the true volumes than the results generated via diameter-based equation (r = 0.7974). Furthermore, the diameter-generated volumes show clearly too high volumes at 130% (confidence interval: 107.7-156.7%). The volumes generated with the segmentation are at 89.18% (confidence interval: 73.52-108.16%). Conclusion: The data show a higher reliability for volumes estimated by the segmentation-based approach than the widely used diameter-based approach.
机译:背景:头颈鳞状细胞癌(HNSCC)的体积评估正在成为越来越重要的临床重要参数,尤其是在治疗计划和反应控制方面。许多作者表明肿瘤体积对治疗结果和局部控制有重大影响。关于诱导化学疗法和原发化学放疗对HNSCC的影响日益增加,对判断治疗反应的适当测量工具的需求变得显而易见。这项研究的目的是比较HNSCC的瞬时“金标准”,基于直径的方法和肿瘤体积评估,以及基于计算机断层扫描(CT)扫描中基于分割算法的方法。方法:CT扫描是标准化分期研究的一部分。使用这些图像数据,定义并分割了30个淋巴结。使用称为“ NeckSegmenter”的新开发软件进行了分割。在征得患者的知情同意后,进行颈部解剖,并对切除的淋巴结进行真实体积分析。将数据集相互比较,并将其与分割的体积相关联。结果:与通过基于直径的方程式生成的结果(r = 0.7974)相比,Pearson相关指数显示分段体积(r = 0.7979)与真实体积的相关性更高。此外,直径生成的体积显示130%的体积明显过高(置信区间:107.7-156.7%)。分割产生的体积为89.18%(置信区间:73.52-108.16%)。结论:与基于直径的方法相比,基于分段的方法估计的数据显示出更高的可靠性。

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