학술논문

3-D Textural Analysis of 2-[¹⁸F]FDG PET and Ki67 Expression in Nonsmall Cell Lung Cancer
Document Type
Periodical
Source
IEEE Transactions on Radiation and Plasma Medical Sciences IEEE Trans. Radiat. Plasma Med. Sci. Radiation and Plasma Medical Sciences, IEEE Transactions on. 6(1):113-120 Jan, 2022
Subject
Nuclear Engineering
Engineered Materials, Dielectrics and Plasmas
Bioengineering
Computing and Processing
Fields, Waves and Electromagnetics
Cancer
Tumors
Biomedical imaging
Three-dimensional displays
Positron emission tomography
Mice
Immune system
Nonsmall cell lung cancer (NSCLC)
preclinical positron emission tomography (PET) imaging
textural analysis
Language
ISSN
2469-7311
2469-7303
Abstract
The immunohistochemical determination of the Ki67 expression is regarded as a reliable method to monitor nonsmall cell lung cancer (NSCLC) proliferation. However, cancer tissues are not uniform and the use of a small tumor sample in biopsy may not be accurate. Although positron emission tomography (PET) represents an alternative to biopsy, by providing the 3-D functional and morphological distribution of cancer cells across the entire tumor volume, standardized uptake values (SUVs) exhibit poor accuracy. The purpose of this study is to identify quantitative features in 2-[ 18 F]FDG PET images uniquely correlated with proliferating lung cancer cells that may perform better than SUVs in the evaluation of lung cancer proliferation. By using a xenograft NSCLC model implanted in 19 mice, we found that 89 textural parameters extracted from 3-D 2-[ 18 F]FDG uptake can be described by 6 independent principal components accounting for 95% of the total variance. One of these components features a significant and univocal correlation with 3-D-stacked Ki67 staining immunohistochemical images ( $|r|>0.6; P< 0.05/6$ , including compensation for multiple comparisons). Furthermore, the values of these components extracted from the PET images of in vivo and ex vivo explanted NSCLC cancers exhibit a strong correlation, verifying the stability of the segmentation method.