Seven higher-order radiomics texture features of periaortic adipose tissue significantly discriminated between patients with and without abdominal aortic calcification (p < 0.05).
Observational (n=30)
No
Does radiomics texture analysis of periaortic adipose tissue using photon-counting CT differentiate between patients with and without local aortic calcification?
Radiomics texture analysis of periaortic adipose tissue using photon-counting CT can differentiate between patients with and without local aortic calcification, suggesting its potential as an early imaging biomarker for arteriosclerosis.
p-value: p=<0.05
Perivascular adipose tissue is known to be metabolically active. Volume and density of periaortic adipose tissue are associated with aortic calcification as well as aortic diameter indicating a possible influence of periaortic adipose tissue on the development of aortic calcification. Due to better spatial resolution and signal-to-noise ratio, new CT technologies such as photon-counting computed tomography may allow the detection of texture alterations of periaortic adipose tissue depending on the existence of local aortic calcification possibly outlining a biomarker for the development of arteriosclerosis. In this retrospective, single-center, IRB-approved study, periaortic adipose tissue was segmented semiautomatically and radiomics features were extracted using pyradiomics. Statistical analysis was performed in R statistics calculating mean and standard deviation with Pearson correlation coefficient for feature correlation. For feature selection Random Forest classification was performed. A two-tailed unpaired t test was applied to the final feature set. Results were visualized as boxplots and heatmaps. A total of 30 patients (66.6% female, median age 57 years) were enrolled in this study. Patients were divided into two subgroups depending on the presence of local aortic calcification. By Random Forest feature selection a set of seven higher-order features could be defined to discriminate periaortic adipose tissue texture between these two groups. The t test showed a statistic significant discrimination for all features (p < 0.05). Texture changes of periaortic adipose tissue associated with the existence of local aortic calcification may lay the foundation for finding a biomarker for development of arteriosclerosis.
Tharmaseelan et al. (Sat,) conducted a observational in Abdominal aortic calcification (n=30). Presence of abdominal aortic calcification vs. Absence of abdominal aortic calcification was evaluated on Differentiation of periaortic adipose tissue texture features (p=<0.05). Seven higher-order radiomics texture features of periaortic adipose tissue significantly discriminated between patients with and without abdominal aortic calcification (p < 0.05).