Quantitative Imaging Parameters of Contrast-Enhanced Micro-Computed Tomography Correlate with Angiogenesis and Necrosis in a Subcutaneous C6 Glioma Model

• Published in: Cancers Vol. 12; no. 11; p. 3417
• Main Authors: Ayala-Domínguez, Lízbeth, Pérez-Cárdenas, Enrique, Avilés-Salas, Alejandro, Medina, Luis Alberto, Lizano, Marcela, Brandan, María-Ester
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.11.2020; MDPI
• Subjects: Abdomen; Angiogenesis; Animals; Biomarkers; Blood; Blood levels; Cancer; CAT scans; Computed tomography; Coronary vessels; Diagnosis; Glioma; Gliomas; Health aspects; Histology; Iodine; Kidneys; Liver; Magnetic resonance imaging; Medical imaging; Methods; Necrosis; Neovascularization; Scanners; Spleen; Tomography; Tumors; Mexico; quantitative imaging; contrast-enhanced imaging; necrosis; angiogenesis; iodine concentration; C6 cells; enhancement; relative blood volume; micro-CT
• ISSN: 2072-6694; 2072-6694
• DOI: 10.3390/cancers12113417

The aim of this work was to systematically obtain quantitative imaging parameters with static and dynamic contrast-enhanced (CE) X-ray imaging techniques and to evaluate their correlation with histological biomarkers of angiogenesis in a subcutaneous C6 glioma model. Enhancement (E), iodine concentration (C ), and relative blood volume (rBV) were quantified from single- and dual-energy (SE and DE, respectively) micro-computed tomography (micro-CT) images, while rBV and volume transfer constant (K ) were quantified from dynamic contrast-enhanced (DCE) planar images. C and rBV allowed a better discernment of tumor regions from muscle than E in SE and DE images, while no significant differences were found for rBV and K in DCE images. An agreement was found in rBV for muscle quantified with the different imaging protocols, and in C and E quantified with SE and DE protocols. Significant strong correlations (Pearson > 0.7, < 0.05) were found between a set of imaging parameters in SE images and histological biomarkers: E and C in tumor periphery were associated with microvessel density (MVD) and necrosis, E and C in the complete tumor with MVD, and rBV in the tumor periphery with MVD. In conclusion, quantitative imaging parameters obtained in SE micro-CT images could be used to characterize angiogenesis and necrosis in the subcutaneous C6 glioma model.