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理论肿瘤模型中的PET特异性参数和放射性示踪剂。

PET-specific parameters and radiotracers in theoretical tumour modelling.

作者信息

Jennings Matthew, Marcu Loredana G, Bezak Eva

机构信息

School of Chemistry & Physics, University of Adelaide, Adelaide, SA 5000, Australia ; Department of Medical Physics, Royal Adelaide Hospital, Adelaide, SA 5000, Australia.

School of Chemistry & Physics, University of Adelaide, Adelaide, SA 5000, Australia ; Faculty of Science, University of Oradea, 410087 Oradea, Romania.

出版信息

Comput Math Methods Med. 2015;2015:415923. doi: 10.1155/2015/415923. Epub 2015 Feb 19.

DOI:10.1155/2015/415923
PMID:25788973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4350968/
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.

摘要

计算技术的创新是迈向癌症优化的、针对患者的个体化管理的重要一步。特别是,肿瘤生长和治疗反应的计算机模拟最终可能产生有关疾病进展的准确信息,提高癌症治疗质量,并解释为什么某些疗法有效而其他疗法无效。事实证明,计算机建模从正电子发射断层扫描(PET)和PET/CT获得的信息中受益匪浅。特别是,模型已成功整合了来自多种示踪剂的肿瘤葡萄糖代谢、细胞增殖和细胞氧合,以模拟肿瘤行为。随着用于成像其他肿瘤现象(如pH值和基因表达)的新型放射性示踪剂的开发,PET和PET/CT数据在肿瘤模型中的应用价值将不断增加。在这项工作中,我们综述了PET和PET/CT信息在计算机肿瘤模型中的应用。详细介绍了使用PET和PET/CT可以获得的各种参数,以及可用于此目的的放射性示踪剂、它们的效用和局限性。还描述了用于量化PET和PET/CT数据的生物物理测量方法。最后,提供并综述了一系列纳入PET和/或PET/CT数据的计算机模型。

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