Evaluation of shape and textural features from PET/CT as potential bio-markers for diagnosis, stratification and follow-up
We investigate textural features as potential imaging biomarkers, based on the assumption that they are an index of the degree of tumour heterogeneity.
In the picture: computed tomography slices from three different individuals with non-small-cell lung cancer showing the manually delineated lesions. From: Bianconi, F. et al. Evaluation of shape and textural features from CT as prognostic biomarkers in non-small cell lung cancer (2018) Anticancer Research, 38 (4), pp. 2155-2160. See also:
- Bianconi, F. et al. Texture Analysis on [18F]FDG PET/CT in Non-Small-Cell Lung Cancer: Correlations Between PET Features, CT Features, and Histological Types (2019) Molecular Imaging and Biology, 21 (6), pp. 1200-1209.
- Bianconi, F. et al. PET/CT radiomics in lung cancer: An overview (2020) Applied Sciences (Switzerland), 10 (5), art. no. 1718.