| First Author | Cassol F | Year | 2019 |
| Journal | iScience | Volume | 21 |
| Pages | 68-83 | PubMed ID | 31655257 |
| Mgi Jnum | J:306827 | Mgi Id | MGI:6717690 |
| Doi | 10.1016/j.isci.2019.10.015 | Citation | Cassol F, et al. (2019) Tracking Dynamics of Spontaneous Tumors in Mice Using Photon-Counting Computed Tomography. iScience 21:68-83 |
| abstractText | 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. |
