AUTHOR=Wumener Xieraili , Zhang Yarong , Wang Zhenguo , Zhang Maoqun , Zang Zihan , Huang Bin , Liu Ming , Huang Shengyun , Huang Yong , Wang Peng , Liang Ying , Sun Tao 

TITLE=Dynamic FDG-PET imaging for differentiating metastatic from non-metastatic lymph nodes of lung cancer

JOURNAL=Frontiers in Oncology

VOLUME=Volume 12 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.1005924

DOI=10.3389/fonc.2022.1005924

ISSN=2234-943X

ABSTRACT=Objectives: 18F-fluorodeoxyglucose (FDG) PET/CT has been widely used in tumor diagnosis, staging, and response evaluation. To determine an optimal therapeutic strategy for lung cancer patients, accurate staging is essential. Semi-quantitative standardized uptake value (SUV) is known to be affected by multiple factors and may fail to differentiate between benign and malignant lesions. Lymph nodes (LNs) in the mediastinal and pulmonary hilar regions with high FDG uptake (SUVmax >2.5) due to granulomatous lesions such as tuberculosis, which has a high prevalence in China, pose a diagnostic challenge. This study aims to evaluate the diagnostic value of the quantitative metabolic parameters derived from dynamic 18F-FDG PET/CT in differentiating metastatic and non-metastatic LNs in lung cancer.