Texture analysis of high-resolution dedicated breast 18 F -FDG PET images correlates with immunohistochemical factors and subtype of breast cancer

摘要

Abstract Purpose This study aims to determine whether PET textural features measured with a new dedicated breast PET scanner reflect biological characteristics of breast tumors. Methods One hundred and thirty-nine breast tumors from 127 consecutive patients were included in this analysis. All of them underwent a 18 F-FDG PET scan before treatment. Well-known PET quantitative parameters such as SU V m a x , SU V m e a n , metabolically active tumor volume (MATV) and total lesion glycolysis (TLG) were extracted. Together with these parameters, local, regional, and global heterogeneity descriptors, which included five textural features (TF), were computed. Immunohistochemical classification of breast cancer considered five subtypes: luminal A like (LA), luminal B like/HER2 ? (LB ?), luminal B like/HER2+ (LB+), HER2-positive-non-luminal (HER2pnl), and triple negative (TN). Associations between PET features and tumor characteristics were assessed using non-parametric hypothesis tests. Results Along with well-established associations, new correlations were found. HER2-positive tumors had significantly higher uptake ( p 0.70) and presented different global and regional heterogeneity ( p = 0.002, p = 0.016, respectively, AUCs p p Conclusions PET parameters extracted from high-resolution dedicated breast PET images showed new and stronger correlations with immunohistochemical factors and immunohistochemical subtype of breast cancer compared to whole-body PET.