Kelada Olivia J, Carlson David J
a Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut; and.
Radiat Res. 2014 Apr;181(4):335-49. doi: 10.1667/RR13590.1. Epub 2014 Mar 27.
The problem of tumor hypoxia has been recognized and studied by the oncology community for over 60 years. From radiation and chemotherapy resistance to the increased risk of metastasis, low oxygen concentrations in tumors have caused patients with many types of tumors to respond poorly to conventional cancer therapies. It is clear that patients with high levels of tumor hypoxia have a poorer overall treatment response and that the magnitude of hypoxia is an important prognostic factor. As a result, the development of methods to measure tumor hypoxia using invasive and noninvasive techniques has become desirable to the clinical oncology community. A variety of imaging modalities have been established to visualize hypoxia in vivo. Positron emission tomography (PET) imaging, in particular, has played a key role for imaging tumor hypoxia because of the development of hypoxia-specific radiolabelled agents. Consequently, this technique is increasingly used in the clinic for a wide variety of cancer types. Following a broad overview of the complexity of tumor hypoxia and measurement techniques to date, this article will focus specifically on the accuracy and reproducibility of PET imaging to quantify tumor hypoxia. Despite numerous advances in the field of PET imaging for hypoxia, we continue to search for the ideal hypoxia tracer to both qualitatively and quantitatively define the tumor hypoxic volume in a clinical setting to optimize treatments and predict response in cancer patients.
肿瘤缺氧问题已被肿瘤学界认识和研究了60多年。从放疗和化疗耐药到转移风险增加,肿瘤内的低氧浓度导致多种肿瘤患者对传统癌症治疗反应不佳。显然,肿瘤缺氧程度高的患者总体治疗反应较差,缺氧程度是一个重要的预后因素。因此,临床肿瘤学界希望开发出使用侵入性和非侵入性技术测量肿瘤缺氧的方法。已经建立了多种成像方式来在体内可视化缺氧情况。特别是正电子发射断层扫描(PET)成像,由于缺氧特异性放射性标记剂的开发,在肿瘤缺氧成像中发挥了关键作用。因此,这项技术在临床上越来越多地用于多种癌症类型。在对肿瘤缺氧的复杂性和迄今为止的测量技术进行广泛概述之后,本文将具体关注PET成像量化肿瘤缺氧的准确性和可重复性。尽管在PET成像用于缺氧领域取得了众多进展,但我们仍在继续寻找理想的缺氧示踪剂,以便在临床环境中定性和定量地定义肿瘤缺氧体积,从而优化治疗并预测癌症患者的反应。