Back to Search Start Over

Assessing dynamic metabolic heterogeneity in non-small cell lung cancer patients via ultra-high sensitivity total-body [18F]FDG PET/CT imaging: quantitative analysis of [18F]FDG uptake in primary tumors and metastatic lymph nodes.

Authors :
Wang, DaQuan
Zhang, Xu
Liu, Hui
Qiu, Bo
Liu, SongRan
Zheng, ChaoJie
Fu, Jia
Mo, YiWen
Chen, NaiBin
Zhou, Rui
Chu, Chu
Liu, FangJie
Guo, JinYu
Zhou, Yin
Zhou, Yun
Fan, Wei
Source :
European Journal of Nuclear Medicine & Molecular Imaging; Nov2022, Vol. 49 Issue 13, p4692-4704, 13p, 1 Color Photograph, 1 Chart, 7 Graphs
Publication Year :
2022

Abstract

Purpose: This study aimed to quantitatively assess [<superscript>18</superscript>F]FDG uptake in primary tumor (PT) and metastatic lymph node (mLN) in newly diagnosed non-small cell lung cancer (NSCLC) using the total-body [<superscript>18</superscript>F]FDG PET/CT and to characterize the dynamic metabolic heterogeneity of NSCLC. Methods: The 60-min dynamic total-body [<superscript>18</superscript>F]FDG PET/CT was performed before treatment. The PTs and mLNs were manually delineated. An unsupervised K-means classification method was used to cluster patients based on the imaging features of PTs. The metabolic features, including Patlak-Ki, Patlak-Intercept, SUV<subscript>mean</subscript>, metabolic tumor volume (MTV), total lesion glycolysis (TLG), and textural features, were extracted from PTs and mLNs. The targeted next-generation sequencing of tumor-associated genes was performed. The expression of Ki67, CD3, CD8, CD34, CD68, and CD163 in PTs was determined by immunohistochemistry. Results: A total of 30 patients with stage IIIA–IV NSCLC were enrolled. Patients were divided into fast dynamic FDG metabolic group (F-DFM) and slow dynamic FDG metabolic group (S-DFM) by the unsupervised K-means classification of PTs. The F-DFM group showed significantly higher Patlak-Ki (P < 0.001) and SUV<subscript>mean</subscript> (P < 0.001) of PTs compared with the S-DFM group, while no significant difference was observed in Patlak-Ki and SUV<subscript>mean</subscript> of mLNs between the two groups. The texture analysis indicated that PTs in the S-DFM group were more heterogeneous in FDG uptake than those in the F-DFM group. Higher T cells (CD3<superscript>+</superscript>/CD8<superscript>+</superscript>) and macrophages (CD68<superscript>+</superscript>/CD163<superscript>+</superscript>) infiltration in the PTs were observed in the F-DFM group. No significant difference was observed in tumor mutational burden between the two groups. Conclusion: The dynamic total-body [<superscript>18</superscript>F]FDG PET/CT stratified NSCLC patients into the F-DFM and S-DFM groups, based on Patlak-Ki and SUV<subscript>mean</subscript> of PTs. PTs in the F-DFM group seemed to be more homogenous in terms of [<superscript>18</superscript>F]FDG uptake than those in the S-DFM group. The higher infiltrations of T cells and macrophages were observed in the F-DFM group, which suggested a potential benefit from immunotherapy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16197070
Volume :
49
Issue :
13
Database :
Complementary Index
Journal :
European Journal of Nuclear Medicine & Molecular Imaging
Publication Type :
Academic Journal
Accession number :
159866284
Full Text :
https://doi.org/10.1007/s00259-022-05904-8