title: PET-specific parameters and radiotracers in theoretical tumour modelling.
abstract: The innovation of computational techniques serves as an important step toward optimized, patient-specific management of cancer. In particular, in silico simulation of tumour growth and treatment response may eventually yield accurate information on disease progression, enhance the quality of cancer treatment, and explain why certain therapies are effective where others are not. In silico modelling is demonstrated to considerably benefit from information obtainable with PET and PET/CT. In particular, models have successfully integrated tumour glucose metabolism, cell proliferation, and cell oxygenation from multiple tracers in order to simulate tumour behaviour. With the development of novel radiotracers to image additional tumour phenomena, such as pH and gene expression, the value of PET and PET/CT data for use in tumour models will continue to grow. In this work, the use of PET and PET/CT information in in silico tumour models is reviewed. The various parameters that can be obtained using PET and PET/CT are detailed, as well as the radiotracers that may be used for this purpose, their utility, and limitations. The biophysical measures used to quantify PET and PET/CT data are also described. Finally, a list of in silico models that incorporate PET and/or PET/CT data is provided and reviewed.
authors: School of Chemistry & Physics, University of Adelaide, Adelaide, SA 5000, Australia ; Department of Medical Physics, Royal Adelaide Hospital, Adelaide, SA 5000, Australia.
authors: Matthew
authors: 0000-0002-1288-2683
authors: M
authors: Jennings
authors: School of Chemistry & Physics, University of Adelaide, Adelaide, SA 5000, Australia ; Faculty of Science, University of Oradea, 410087 Oradea, Romania.
authors: Loredana G
authors: LG
authors: Marcu
authors: School of Chemistry & Physics, University of Adelaide, Adelaide, SA 5000, Australia ; Department of Medical Physics, Royal Adelaide Hospital, Adelaide, SA 5000, Australia.
authors: Eva
authors: E
authors: Bezak
mesh_terms: D049109:Cell Proliferation; D056831:Coordination Complexes; D015224:Dideoxynucleosides; D004058:Diffusion; D019788:Fluorodeoxyglucose F18; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D005947:Glucose / Q000378:metabolism; D006801:Humans; D006863:Hydrogen-Ion Concentration; D000860:Hypoxia; D008920:Misonidazole / Q000031:analogs & derivatives; D008962:Models, Theoretical; D064847:Multimodal Imaging; D009369:Neoplasms / Q000378:metabolism / Q000473:pathology*; D009389:Neovascularization, Pathologic; D009942:Organometallic Compounds; D010100:Oxygen / Q000737:chemistry; D049268:Positron-Emission Tomography; D019275:Radiopharmaceuticals; D013882:Thiosemicarbazones; D014057:Tomography, X-Ray Computed
chemical_list: D056831:Coordination Complexes; D015224:Dideoxynucleosides; D009942:Organometallic Compounds; D019275:Radiopharmaceuticals; D013882:Thiosemicarbazones; C089548:copper (II) diacetyl-di(N(4)-methylthiosemicarbazone); C031843:fluoromisonidazole; D019788:Fluorodeoxyglucose F18; D008920:Misonidazole; D005947:Glucose; C002854:alovudine; D010100:Oxygen