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First RadioTransNet Workshop: Challenges and Innovations in Target Volume Definition

5 juil. 2019
Auditorium ADICARE Institut de Cardiologie Hôpital Universitaire Pitié-Salpêtrière 52 boulevard Vincent Auriol 75013 Paris - Paris (France)

The RADIOTRANSNET project is a French initiative for the structuration of preclinical research in the field of radiotherapy in France. It has been submitted by the French Society of Oncological Radiotherapy (SFRO) and the French society of medical physics (SFPM). It has been favorably evaluated by the International Evaluation Committee of INCa (the French Cancer Institute). RADIOTRANSNET network has officially been launched at the end of 2018. The ambition of RADIOTRANSNET is to propose a robust methodology of science-based consensus aiming to build a national research consortium dedicated to radiation-oncology, implementing a strategic research agenda (SRA) based on rigorous scientific and medical state of the art in radiotherapy and radiobiology, and defining a road map to favor existing scientific and clinical interactions. Four main strategies (4 workpackages) have been identified to improve therapeutic index of radiotherapy and define RADIOTRANSNET network activities: • WP1: Optimizing the specificity of the dose distribution of radiotherapy treatments, • WP2: Decreasing radiotherapy side effects on normal tissue, • WP3: Combining new molecular targeted agents and biological modifiers, • WP4: Optimizing dose modelling and treatment planning. This first RadioTransNet Workshop is dedicated to the Workpackage 1 main axis of the projet and aims define strategies to improve the target volume definition. Indeed, with modern imaging modalities and registration software, the spatial definition of the macroscopic target can be achieved. However, it appears this definition still presents weaknesses. From a biological point of view, different phenomena such as hypoxia, vascularization and other processes related to the microenvironment should be known should and included in the definition of the target, at least at the voxel scale. From an anatomical point of view, delineation is still a time-consuming operator-dependent action. Automation and standardization of this process could produce more consistent volumes whatever the clinician and to pave the way for adaptive radiotherapy. This Workshop aims, through several oral presentations, to draw up an inventory of current practices and emerging methods in order to address the key issues and to identify needs. Then, a “working groups” session will allow reflections and exchanges to begin the structuration process in order to define an adapted research program within the RadiotransNet Network.
Discipline scientifique : Intelligence artificielle - Imagerie médicale - Traitement des images - Cancer - Machine Learning

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