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Abstract #4821

Towards a Better Understanding of Bone Metastatic Pain: A Multimodal Micro-Imaging Approach

Louis Dore-Savard1,2, Luc Tremblay3,4, Melanie Archambault3,4, Jean-Franois Beaudoin3,4, Nicolas Beaudet1,2, Eric E. Turcotte3,4, Roger Lecomte3,4, Philippe Sarret1,2, Martin Lepage3,4

1Physiologie et biophysique, Universite de Sherbrooke, Sherbrooke, Quebec, Canada; 2Centre des Neurosciences de Sherbrooke, Sherbrooke, Quebec, Canada; 3Mdecine nuclaire et radiobiologie, Universite de Sherbrooke, Sherbrooke, Quebec, Canada; 4Centre d'imagerie molculaire de Sherbrooke, Sherbrooke, Quebec, Canada


A better understanding of the mechanisms underlying the genesis of bone cancer pain is clearly needed. We used a multimodal imaging protocol combining μCT and MRI-PET co-registration in a novel murine bone cancer pain model. Interestingly, we consistently detected bone tumor before pain behavior were observable. Moreover, MRI, Na18F and 11C-methionine PET provided us with complementary information allowing the visualization of compensative bone formation, inflammation, tumor metabolism and extensive damage in bone microenvironment. This model and our imaging approach will help the understanding of metastatic bone pain and facilitate the development of improved analgesic therapy.

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