A step towards valid detection and quantification of lung cancer volume in experimental mice with contrast agent-based X-ray microtomography
A step towards valid detection and quantification of lung cancer volume in experimental mice with contrast agent-based X-ray microtomography
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DOI：
10.1038/s41598-018-37394-w
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发表时间：
2019-02-04
影响因子：
4.6
通讯作者：
Herzen, Julia
中科院分区：
文献类型：
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作者：
Bidola, Pidassa;de Souza e Silva, Juliana Martins;Herzen, Julia
在肺癌研究中，肿瘤体积是评价新疗法效果的一个参数。用于估计小鼠模型中肿瘤大小的传统方法无法为非皮下生长的肿瘤提供快速可靠的体积数据。在这里，我们评估了使用碘染色结合微计算机断层扫描（micro-CT）来估计离体肿瘤负荷肺的肿瘤体积。我们获得了肺的快速高空间分辨率三维信息，并且我们证明了碘染色突出肿瘤和不健康组织。我们用常规苏木精和伊红（H&E）染色对碘染色的肺进行组织病理学分析。我们比较了传统的用H&E组织学切片进行的人工肿瘤负荷估计与使用微ct数据集的半自动方法。在具有精确边界的肺肿瘤小鼠模型中，我们在此描述的方法能够在微ct图像中快速估计肿瘤组织体积。我们的方法高估了被异常组织包围的肿瘤的肿瘤负荷，而传统的组织病理学分析低估了肿瘤体积。我们建议将微ct成像嵌入到临床前癌症研究中肿瘤肺分析的传统工作流程中，作为一种更准确估计肺肿瘤总负荷的策略。
Tumor volume is a parameter used to evaluate the performance of new therapies in lung cancer research. Conventional methods that are used to estimate tumor size in mouse models fail to provide fast and reliable volumetric data for tumors grown non-subcutaneously. Here, we evaluated the use of iodine-staining combined with micro-computed tomography (micro-CT) to estimate the tumor volume of ex vivo tumor-burdened lungs. We obtained fast high spatial resolution three-dimensional information of the lungs, and we demonstrated that iodine-staining highlights tumors and unhealthy tissue. We processed iodine-stained lungs for histopathological analysis with routine hematoxylin and eosin (H&E) staining. We compared the traditional tumor burden estimation performed manually with H&E histological slices with a semi-automated method using micro-CT datasets. In mouse models that develop lung tumors with well precise boundaries, the method that we describe here enables to perform a quick estimation of tumorous tissue volume in micro-CT images. Our method overestimates the tumor burden in tumors surrounded by abnormal tissue, while traditional histopathological analysis underestimates tumor volume. We propose to embed micro-CT imaging to the traditional workflow of tumorous lung analyses in preclinical cancer research as a strategy to obtain a more accurate estimation of the total lung tumor burden.