Wang Tao, Wang Zhenguang
Department of Nuclear Medicine, the Affiliated Hospital of Qingdao University, Qingdao 266100, China.
Zhongguo Fei Ai Za Zhi. 2019 Mar 20;22(3):167-172. doi: 10.3779/j.issn.1009-3419.2019.03.09.
Tumor-node-metastasis (TNM) staging system is the most important basis for making therapeutic decisions and predicting prognosis of lung cancer patients. The metabolic parameters including standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) measured by ¹⁸F-fluorodeoxyglucose-positron emission tomography (¹⁸F-FDG PET/CT) associate with tumor aggressiveness and can provide additional prognostic information. A new staging methodology combines the conventional cTNM with the metabolic tumor burden quantified from the PET images is a better predictor of overall survival with superior stratifying power may help oncologists to make better treatment plans. ¹⁸F-FDG PET/CT image texture analysis, as an emerging research tool, is used to quantify the spatial heterogeneity of radioactive uptake in tumors, thereby to explore the biological characteristics of the tumor. This article reviews developments in evaluating the ¹⁸F-FDG PET/CT metabolic parameters and its role as a prognostic factor for non-small cell lung cancer. .
肿瘤-淋巴结-转移(TNM)分期系统是肺癌患者制定治疗决策和预测预后的最重要依据。通过¹⁸F-氟脱氧葡萄糖-正电子发射断层扫描(¹⁸F-FDG PET/CT)测量的代谢参数,包括标准化摄取值(SUV)、代谢肿瘤体积(MTV)和总病灶糖酵解(TLG),与肿瘤侵袭性相关,并可提供额外的预后信息。一种新的分期方法将传统的cTNM与从PET图像量化的代谢肿瘤负荷相结合,是总生存期更好的预测指标,具有更强的分层能力,可能有助于肿瘤学家制定更好的治疗方案。¹⁸F-FDG PET/CT图像纹理分析作为一种新兴的研究工具,用于量化肿瘤内放射性摄取的空间异质性,从而探索肿瘤的生物学特性。本文综述了¹⁸F-FDG PET/CT代谢参数评估的进展及其作为非小细胞肺癌预后因素的作用。