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- Title
Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer.
- Authors
Chen, Yu-Hung; Lue, Kun-Han; Lin, Chih-Bin; Chen, Kuang-Chi; Chan, Sheng-Chieh; Chu, Sung-Chao; Chang, Bee-Song; Chen, Yen-Chang
- Abstract
Radiogenomic heterogeneity features in 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) have become popular in non-small cell lung cancer (NSCLC) research. However, the reliabilities of genomic heterogeneity features and of PET-based glycolytic features in different image matrix sizes have yet to be thoroughly tested. We conducted a prospective study with 46 NSCLC patients to assess the intra-class correlation coefficient (ICC) of different genomic heterogeneity features. We also tested the ICC of PET-based heterogeneity features from different image matrix sizes. The association of radiogenomic features with clinical data was also examined. The entropy-based genomic heterogeneity feature (ICC = 0.736) is more reliable than the median-based feature (ICC = −0.416). The PET-based glycolytic entropy was insensitive to image matrix size change (ICC = 0.958) and remained reliable in tumors with a metabolic volume of <10 mL (ICC = 0.894). The glycolytic entropy is also significantly associated with advanced cancer stages (p = 0.011). We conclude that the entropy-based radiogenomic features are reliable and may serve as ideal biomarkers for research and further clinical use for NSCLC.
- Subjects
NON-small-cell lung carcinoma; POSITRON emission tomography; HETEROGENEITY; GLYCOLYSIS; ENTROPY
- Publication
International Journal of Molecular Sciences, 2023, Vol 24, Issue 4, p3988
- ISSN
1661-6596
- Publication type
Article
- DOI
10.3390/ijms24043988