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2016
Journal Article
Titel
The development of a simulation tool for clinical use in image-guided percutaneous minimally invasive cancer treatment (MICT) - the GoSmart project
Titel Supplements
Abstract
Abstract
Background: There are several common methods of image guided minimally invasive cancer treatment (MICT) including radiofrequency ablation (RFA), microwave ablation (MWA), cryoablation, brachytherapy or irreversible electroporation. However, there is no common software environment to plan and to predict the results from different types of MICT. The GoSmart project therefore develops an intervention planning system for assisting radiologists to choose the best patient specific approach in MICT. Evaluation: GoSmart aims to create a web based open ended software to assist interventionalists to plan a patient specific procedure and to also train within an augmented reality simulation environment. The project includes the development of dedicated tools for patient specific 3D-modelling of liver, kidney and lung from CT or MRI data. New tissue heat transfer and cell death mathematical models are integrated into a finite element model based computer simulation code. This tool will help clinicians for better planning MICTs and predicting the induced tissue lesion. The results of the tools will be validated by comparing simulations with the real patient treatment results. Results: Yet a prototype interface with possibility to plan and simulate different MICT has been developed successfully and can be tested. Furthermore an international external user forum has been set up to spread the concept to a larger group of clinicians and researchers. Conclusion: The finalized IMPPACT project showed encouraging results for the simulation of RFA induced liver lesions. During IMPPACT a user survey among German interventional radiologists demonstrated the request of computer assistance for percutaneous MICT procedures. GoSmart proposes practical support for MICT of the liver, kidney and lung providing a powerful tool for interventional radiologists for best personalized approach in MICT. It will also allow cross validation of different MICT types. Furthermore the unification of different MICT types into a common simulation environment helps implementing standardized benchmarks and protocols for MICT.
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