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Assessment of tumor necrotic fraction by dynamic contrast-enhanced MRI: a preclinical study of human tumor xenografts with histopathologic correlation

机译:动态对比增强MRI评估肿瘤坏死分数:具有组织病理学相关性的人肿瘤异种移植的临床前研究

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摘要

Contrary to the common notion that tumor necrotic regions are non-enhancing after contrast administration, recent evidence has shown that necrotic regions exhibit delayed and slow uptake of gadolinium tracer on dynamic contrast-enhanced MRI (DCE MRI). The purpose of this study is to explore whether the mapping of tumor voxels with delayed and slow enhancement on DCE MRI can be used to derive estimates of tumor necrotic fraction. Patientderived tumor xenograft lines of seven human cancers were implanted in 26 mice which were subjected to DCE MRI performed using a spoiled gradient recalled sequence. Gadolinium tracer concentration was estimated using the variable flip angle technique. To identify tumor voxels exhibiting delayed and slow uptake of contrast medium, clustering analysis was performed using a k-means clustering algorithm that classified tumor voxels according to their contrast enhancement patterns. Comparison of the percentage of tumor voxels exhibiting delayed and slow enhancement with the tumor necrotic fraction estimated on histology showed a strong correlation (r = 0.962, p<0.001). The mapping of tumor regions with delayed and slow contrast uptake on DCE MRI correlated strongly with tumor necrotic fraction, and can potentially serve as a non-invasive imaging surrogate for the in vivo assessment of necrotic fraction.
机译:与通常给予对比剂后肿瘤坏死区域不增强的普遍观点相反,最新证据表明,在动态对比增强MRI(DCE MRI)上,坏死区域表现出延迟和缓慢摄取of示踪剂。这项研究的目的是探讨在DCE MRI上延迟和缓慢增强的肿瘤体素的图谱是否可用于得出肿瘤坏死分数的估计值。将七种人类癌症的患者源性肿瘤异种移植系植入26只小鼠中,这些小鼠接受了使用损坏的梯度召回序列进行的DCE MRI检查。使用可变翻转角技术估算was的示踪剂浓度。为了识别表现出延迟和缓慢摄取造影剂的肿瘤体素,使用k-均值聚类算法进行聚类分析,该算法根据肿瘤体素的对比增强模式对肿瘤体素进行分类。组织学上估计的显示出延迟和缓慢增强的肿瘤体素百分比与肿瘤坏死分数的比较显示出很强的相关性(r = 0.962,p <0.001)。 DCE MRI上具有延迟和缓慢的造影剂摄取的肿瘤区域的定位与肿瘤坏死分数密切相关,并且可以潜在地用作体内评估坏死分数的非侵入性成像替代。

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