Tracking Dynamics of Spontaneous Tumors in Mice Using Photon-Counting Computed Tomography
Tracking Dynamics of Spontaneous Tumors in Mice Using Photon-Counting Computed Tomography
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DOI：
10.1016/j.isci.2019.10.015
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发表时间：
2019-11-22
期刊：
影响因子：
5.8
通讯作者：
Maina, Flavio
中科院分区：
文献类型：
--
作者：
Cassol, Franca;Portal, Loriane;Maina, Flavio
计算机断层扫描是一种强大的医学成像模式，用于癌症纵向研究，以跟踪肿瘤进展并评估抗癌治疗。在这里，我们报告的光子计数微计算机断层扫描（PC-CT）方法的基础上，增强灵敏度和肿瘤成像精度的混合像素探测器的生成。然后，我们应用PC-CT在临床相关的肝癌模型中进行纵向成像，Alb-R26（Met）小鼠，发现肿瘤在初始阶段的动力学具有显著的异质性。相反，进化肿瘤的生长曲线表现出相当的指数生长，具有恒定的倍增时间。此外，在用MEK和BCL-XL抑制剂的组合治疗的小鼠中的纵向PC-CT成像揭示了剧烈的肿瘤消退，伴随着肿瘤微环境中巨噬细胞的显著重塑。因此，PC-CT是检测癌症发生和进展并监测其在治疗期间演变的强大系统。
Computed tomography is a powerful medical imaging modality for longitudinal studies in cancer to follow neoplasia progression and evaluate anticancer therapies. Here, we report the generation of a photon-counting micro-computed tomography (PC-CT) method based on hybrid pixel detectors with enhanced sensitivity and precision of tumor imaging. We then applied PC-CT for longitudinal imaging in a clinically relevant liver cancer model, the Alb-R26(Met) mice, and found a remarkable heterogeneity in the dynamics for tumors at the initiation phases. Instead, the growth curve of evolving tumors exhibited a comparable exponential growth, with a constant doubling time. Furthermore, longitudinal PC-CT imaging in mice treated with a combination of MEK and BCL-XL inhibitors revealed a drastic tumor regression accompanied by a striking remodeling of macrophages in the tumor microenvironment. Thus, PC-CT is a powerful system to detect cancer initiation and progression, and to monitor its evolution during treatment.