Metabolic network analysis of lung adenocarcinoma and squamous cell carcinoma via static and dynamic total‐body PET/CT imaging

作者：Haiyan Wang, Zilong Guan, Jiaxiang Qu, Xuetong Tao, Yaping Wu, Ziwei Liu, Zixiang Chen, Fanting Luo, Na Zhang, Yanhua Duan, Zhaoping Cheng, Dong Liang, Hairong Zheng, Meiyun Wang, Greta S. P. Mok, Zhanli Hu · 发表于：Medical Physics · 年份：2025 · DOI：10.1002/mp.70147 · 被引用次数：2 · 研究领域：Cancer, Hypoxia, and Metabolism、Medical Imaging Techniques and Applications、Metabolomics and Mass Spectrometry Studies

Background Lung adenocarcinoma (ADC) and squamous cell carcinoma (SCC) are major subtypes of lung cancer (LC) with distinct clinical features and pathological mechanisms, necessitating tailored treatments. However, early noninvasive differentiation remains challenging. Purpose With the development of total‐body PET/CT, this study attempts to provide new insights into this challenge by analyzing and comparing inter‐organ and inter‐system metabolic connections across the total body in ADC and SCC patients. Methods Based on static and dynamic total‐body 18 F‐fluorodeoxyglucose ( 18 F‐FDG) PET/CT data from 12 ADC patients, 12 SCC patients, and 20 healthy controls (HCs), abnormal metabolic connection networks of ADC and SCC were constructed relative to HCs for individual and group analysis. An external patient cohort consisting of 7 ADC patients and 7 SCC patients was introduced to evaluate the generalizability of the analysis results by topological correlation. The metabolic correlations among organs/systems were observed by Pearson correlation coefficient between standardized uptake values or K i values of 36 regions of interest (ROIs) across the total body. ROIs were also classified into 18 organs and 8 major systems. Specifically, for the individual analysis, the alteration in metabolic connections between the lungs (respiratory system), and other systems were investigated, as well as among the seven nonrespiratory systems, relative to HCs. For the group analysis, the abnormal...