Peyraga Guillaume, Robaine Nesrine, Khalifa Jonathan, Cohen-Jonathan-Moyal Elizabeth, Payoux Pierre, Laprie Anne
Department of Radiation Therapy, Claudius Regaud Institute, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Department of Nuclear Medicine, Claudius Regaud Institute, Institut Universitaire du Cancer de Toulouse Oncopole, Toulouse, France.
Q J Nucl Med Mol Imaging. 2018 Dec;62(4):337-348. doi: 10.23736/S1824-4785.18.03116-3.
Owing to their heterogeneity and radioresistance, the prognosis of primitive brain tumors, which are mainly glial tumors, remains poor. Dose escalation in radioresistant areas is a potential issue for improving local control and overall survival. This review focuses on advances in biological and metabolic imaging of brain tumors that are proving to be essential for defining tumor target volumes in radiation therapy (RT) and for increasing the use of DPRT (dose painting RT) and ART (adaptative RT), to optimize dose in radio-resistant areas.
Various biological imaging modalities such as PET (hypoxia, glucidic metabolism, protidic metabolism, cellular proliferation, inflammation, cellular membrane synthesis) and MRI (spectroscopy) may be used to identify these areas of radioresistance. The integration of these biological imaging modalities improves the diagnosis, prognosis and treatment of brain tumors.
Technological improvements (PET and MRI), the development of research, and intensive cooperation between different departments are necessary before using daily metabolic imaging (PET and MRI) to treat patients with brain tumors.
The adaptation of treatment volumes during RT (ART) seems promising, but its development requires improvements in several areas and an interdisciplinary approach involving radiology, nuclear medicine and radiotherapy. We review the literature on biological imaging to outline the perspectives for using DPRT and ART in brain tumors.
由于其异质性和放射抗性,主要为胶质肿瘤的原发性脑肿瘤预后仍然很差。在放射抗性区域增加剂量是改善局部控制和总生存期的一个潜在问题。本综述重点关注脑肿瘤生物和代谢成像的进展,这些进展已被证明对于确定放射治疗(RT)中的肿瘤靶区体积以及增加剂量描绘放疗(DPRT)和自适应放疗(ART)的应用以优化放射抗性区域的剂量至关重要。
各种生物成像方式,如PET(缺氧、糖代谢、蛋白质代谢、细胞增殖、炎症、细胞膜合成)和MRI(波谱学),可用于识别这些放射抗性区域。这些生物成像方式的整合改善了脑肿瘤的诊断、预后和治疗。
在使用日常代谢成像(PET和MRI)治疗脑肿瘤患者之前,技术改进(PET和MRI)、研究的开展以及不同科室之间的密切合作是必要的。
RT期间治疗体积的自适应调整(ART)似乎很有前景,但其发展需要在多个领域取得进展,并采用涉及放射学、核医学和放射治疗的跨学科方法。我们回顾了关于生物成像的文献,以概述在脑肿瘤中使用DPRT和ART的前景。