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Modeling of human glioblastoma with spectral analysis in 18F-FMISO PET imaging

机译：18F-FMISO宠物成像中具有光谱分析的人胶质母细胞瘤的建模

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I. Introduction Glioblastomas (GBM) are brain tumors that have rapid proliferation and increased neovasculature and necrosis. They account for 54% of all gliomas and have an incidence of 3 to 4 cases per 100 000 [1]. Gliomas develop discreetly and expand to brain regions before any perceptible symptoms. GBM are difficult to treat having a mortality of 65% after one year and 95% after 5 years even after treatments with surgery, radiotherapy or chemotherapy [1-4]. The tumor develops till it provokes the reduction of the blood supply resulting in hypoxia (reduction of partial pressure of oxygen). PET imaging with 18F-fluoromisonidazole (FMISO) is actually the most efficient imaging modality to image hypoxia. The concentration of FMISO in tissue equilibrates with that of FMISO in plasma after 30 min, while FMISO can be trapped in hypoxic tissues for more than 2 h [5]. Even if FDG is the mostly used radiotracer for tumor imaging, it is not efficient in imaging of hypoxia. Although FMISO has been used for several years, there is no appropriate pharmacokinetic model universally recognized. In the present work, we propose the use of spectral analysis to determine the basis functions which reflect the diffusive and accumulative compartments of FMISO at the pixel basis. The approach is used to determine the number of compartments in FMISO kinetic modeling and to localize the hypoxia in the images.
机译：I.引言Glioblastomas（GBM）是脑肿瘤，具有快速增殖和新生种和坏死。它们占所有Gliomas的54％，每100 000的发病率为3至4例[1]。在任何可察觉的症状之前，Gliomas谨慎地发展到大脑地区。在治疗手术，放疗或化疗治疗后，GBM难以治疗一年后65％的死亡率为65％，甚至在治疗后的治疗，放疗或化疗[1-4]。肿瘤发育，直到它引起血液供应的减少，导致缺氧（氧气的分压减少）。宠物成像用18F-氟代咪唑（FMISO）实际上是图像缺氧的最有效的成像模型。 30分钟后，组织中FMISO的浓度与血浆中的血浆中的FMISO平衡，而FMISO可以捕获缺氧组织超过2小时[5]。即使FDG是肿瘤成像的主要用过的放射机构，它也没有效率于缺氧的成像。虽然FMISO已经使用了几年，但没有普遍认可的适当药代动力学模型。在本作工作中，我们提出了使用光谱分析来确定在像素基础上反映FMISO的扩散和累积池的基本函数。该方法用于确定FMISO动力学建模中的隔间数量，并在图像中定位缺氧。

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