动态11c -醋酸PET显像在早期发现放疗反应中的作用

Redha-alla Abdo, Chang-Shu Wang, É. Lavallée, F. Lessard, M. Bentourkia
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引用次数: 0

摘要

正电子发射断层扫描(PET)成像与11c -醋酸酯(ACE)通常用于心血管和癌症成像。在ACE发展的早期阶段,它主要用于肝细胞癌、前列腺癌和心肌耗氧量。先前的研究比较了ACE与使用标准摄取值(SUV)和组织血比(TBR)方法的18f -氟脱氧葡萄糖(18F-FDG)成像的优势。本研究提出动态ACE PET成像在癌症治疗早期反应监测中的应用。我们对两例舌底的头颈癌(HNC)(鳞状细胞癌)患者进行了两次动态ACE PET扫描。治疗开始前进行治疗前动态ACE和静态18F-FDG PET扫描,放疗4周后(35 Gy后)进行第二次ACE动态扫描。我们采用双组织室模型来表示ACE在HNC中的动力学。结果显示,与患者1的初始体积相比,肿瘤体积减少了50%以上。此外,患者2在治疗4周后肿瘤体积明显缩小。两例患者放疗剂量后,室室模型参数k2均升高。k2的升高可以反映肿瘤内部的再氧化过程,可以反映早期的治疗反应。综上所述,ACE可以预测肿瘤灌注和氧化代谢的早期变化,从而优化调整治疗方案。
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The Role of Dynamic 11C-Acetate PET imaging in Early Detection of Response to Radiotherapy Treatment
Positron Emission Tomography (PET) imaging with 11C-Acetate (ACE) is regularly used in cardiovascular and in cancer imaging. In the earlier stages of ACE developments, it has been mainly used for hepatocellular carcinoma, prostate cancer, and myocardial oxygen consumption. The previous studies compared the advantage of ACE with 18F-Fluorodeoxyglucose (18F-FDG) imaging using Standard Uptake Value (SUV) and the tissue-to-blood ratio (TBR) method. The current study proposes the application of dynamic ACE PET imaging in monitoring the early response to cancer treatment. We conducted two dynamic ACE PET scans on two patients suffering from Head and Neck Cancer (HNC) (Squamous Cell Carcinoma) in the base of the tongue. Pre-treatment dynamic ACE and static 18F-FDG PET were conducted before initiation of the treatment, and the second ACE dynamic scan was performed after four weeks of radiotherapy (after 35 Gy). We applied the two-tissue compartment model to represent the kinetics of ACE in HNC. The results showed a reduction in tumor volume by more than 50% compared to the initial volume in patient-1. Besides, patient-2 has displayed a more reduced tumor volume after 4 weeks of treatment. Compartmental modeling parameter k2 increased after radiotherapy dose in both patients. This increase of k2 could reflect the reoxygenation process inside the tumor, and it can reflect the early treatment response. In conclusion, ACE could predict the early changes in the tumor perfusion and the oxidative metabolism to optimally adjust the treatment.
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