FDG-PET imaging for radiotherapy target volume definition in lung cancer |
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| Institution: | 1. Équipe d’accueil (EA) 4108, UFR de médecine et de pharmacie, département de radiothérapie et de physique médicale, laboratoire QuantIF–LITIS, centre Henri-Becquerel, université de Rouen, rue d’Amiens, 76000 Rouen, France;2. Équipe d’accueil (EA) 4108, UFR de médecine et de pharmacie, département de médecine nucléaire, laboratoire QuantIF–LITIS, centre Henri-Becquerel, université de Rouen, rue d’Amiens, 76000 Rouen, France;1. Université de Lyon, CREATIS, CNRS UMR 5220, Inserm U1044, INSA-Lyon, Université Lyon 1, Lyon, France;2. Universidad de los Andes, Grupo Imagine, Grupo de Ingeniería Biomédica, Bogotá, Colombia;1. Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina;4. Department of Radiology, University of North Carolina, Chapel Hill, North Carolina;2. Memorial Sloan Kettering Cancer Center, West Harrison, New York;3. Department of Radiology, Columbia University, New York, New York;1. XLIM-SIC, UMR CNRS 7252, boulevard Marie-et-Pierre-Curie, BP 30179, 86962 Futuroscope-Chasseneuil cedex, France;2. GREYC CNRS, ENSICAEN, Université de Caen, UMR 6072, boulevard du Maréchal-Juin, 14050 Caen, France;1. Cancer Research Institute and School of Health Sciences, University of South Australia, Adelaide SA 5001, Australia;2. Faculty of Science, University of Oradea, Oradea 410087, Romania;3. Department of Physics, University of Adelaide, North Terrace, Adelaide, South Australia 5005, Australia;1. Research laboratory, laboratoire de recherche en biomécanique orthopédique (LRBO), National Institute Kassab, Tunis, Tunisia;2. Higher Institute of Sports and Physical Education, Manouba University, Tunis, Tunisia;3. Tunisian Research Laboratory “Sport Performance Optimisation”, National Center of Medicine and Science in Sports (CNMSS), Tunis, Tunisia;4. Athlete Health and Performance Research Centre, ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar;5. IFSTTAR, LBMC, UMR_T9406, Bron, université Lyon-1, Villeurbanne, 69622 Lyon, France |
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| Abstract: | Multimodality imaging plays a key role in the management of malignant tumours by radiation oncologists. The tumour extension at diagnosis identifies the patients in whom curative-intent radiotherapy is indicated. The target volumes and organs at risk are delineated on the relevant image modality (CT, MRI, PET), co-registered on a CT scan in treatment position for dose calculation purpose. The treatment machines are nowadays able to achieve heterogeneous dose distributions, possibly modulated within the target volume according to variations in the risk of failure. For instance, areas with high initial FDG uptake, low oxygenation, or insufficient response during radiotherapy could become the targets for selective dose increase. The scientific challenge includes registration and iterative segmentation of poorly contrasted images acquired on living bodies (variation in acquisition position, physiological movements and hollow organs filling, signal alteration induced by treatment…). The clinical validation of these innovative approaches and their diffusion in daily routine require a very close collaboration between many disciplines, based on a common language and understanding of radiotherapy target volumes, as illustrated in the present paper with FDG-PET imaging. |
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