Rosebrugh Bldg, Toronto, ON M5S 3G9
Room: RS 211
Lung cancer is the leading cause of cancer death in Canada. Improved screening protocols havesignificantly increased early-stage detection, and led to a reduction in mortality rate. Anatomicalresection is the gold standard for early-stage treatment; unfortunately, certain patients areexcluded from this invasive approach due to comorbidities. This prompts the need forimprovements in minimally invasive tools that are used for treatment in these inoperable cases.
Photothermal therapy (PTT) is a novel, minimally invasive approach, which uses chemicalexcitation by light to generate heat, and destroy harmful tissue. One focus in current PTTresearch is on determining the appropriate treatment parameters to ensure complete ablation ofthe cancerous tissue, while minimizing damage to the surrounding area. The effect that vascularheat sinks have on the treatment zone is an important factor that has largely been excluded fromthe research due to the difficult nature of creating a perfused model.
This project is focused on developing a computational heat transfer simulation to predict theeffect that vascular heat sinks have on the treatment process during PTT. The aim is to provideresearchers, and clinicians with guidance on treatment parameters, and identify optimal fiberplacement dependent on the surrounding anatomy. The model’s predictions will then bevalidated through phantom, and ex-vivo tissue experiments.
In conclusion, this computational model will help identify the appropriate treatment parametersfor use in PTT of lung tumours, and therefore help in expediting the development of research inthe field. This will provide physicians access to a larger set of treatment tools, and lead toimproved care for the patient.