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 new Photon Counting micro-Computed Tomography (PC-CT) method based on hybrid pixel detector with enhanced sensitivity and precision of tumour imaging. We then applied PC-CT for longitudinal imaging in a clinically relevant liver cancer model, the Alb-R26Met mice, and found a remarkable heterogeneity in the dynamics for tumours at the initiation phases. Instead, the growth curve of evolving tumours 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 tumour regression accompanied by a striking remodelling of macrophages in the tumour microenvironment. Thus, PC-CT is a powerful system to detect cancer initiation and progression, and to monitor its evolution during treatment.
Cassol, Franca and Portal, Loriane and Richelme, Sylvie and Dupont, Mathieu and Boursier, Yannick and Arechederra, Maria and Auphan-Anezin, Nathalie and Chasson, Lionel and Laprie, Caroline and Fernandez, Samantha and Balasse, Laure and Lamballe, Fabienne and Dono, Rosanna and Guillet, Benjamin and Lawrence, Toby and Morel, Christian and Maina, Flavio, Tracking Dynamics of Spontaneous Tumours in Mice Using Photon Counting Computed Tomography (August 29, 2019). Available at SSRN: https://ssrn.com/abstract=3445036 or http://dx.doi.org/10.2139/ssrn.3445036
This version of the paper has not been formally peer reviewed.
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