A volumetric method for quantifying atherosclerosis in mice by using microCT: comparison to en face

Quantifying arterial plaque progression in animal models remains a significant challenge for cardiovascular researchers. Traditional methods often rely on surface-based assessments that fail to capture the full three-dimensional nature of lesions. This gap motivated the development of imaging techniques capable of preserving the spatial arrangement of tissues. Prior research has shown that standard approaches may overlook the internal complexity of arterial disease. No prior work had resolved the need for a non-destructive, volumetric measurement tool for intact vessels. That uncertainty drove the exploration of high-resolution scanning technology for preclinical investigations. Investigators sought a reliable way to map plaque burden without disrupting the delicate architecture of the vessel wall. This study addresses the requirement for standardized, empirical metrics in the evaluation of dyslipidemic mouse models.

The aim of this study is to establish a precise volumetric method for quantifying atherosclerotic plaque in preclinical models. Researchers sought to overcome the limitations of traditional surface-based assessments by utilizing high-resolution imaging technology. The team focused on maintaining the in situ architecture of the aorta to ensure accurate measurements of lesion volume. This investigation addresses the need for a reliable, non-destructive tool to evaluate plaque severity in dyslipidemic mice. By testing three different mouse models, the authors intended to demonstrate the versatility of their approach across varying disease states. They aimed to provide empirical data that could validate the use of this technology for future preclinical studies. The study was motivated by the requirement for more accurate metrics in cardiovascular research. Ultimately, the researchers worked to confirm that their volumetric technique could resolve internal plaque characteristics while correlating with established standards.

Review Approach framing involves the systematic application of high-resolution scanning to ex vivo aortic samples. Investigators processed samples from three distinct mouse models lacking the low-density lipoprotein receptor. The team performed scans to capture the three-dimensional architecture of the thoracic aorta. They calculated plaque volume, intimal surface area, and maximum thickness from the resulting image datasets. To ensure accuracy, the researchers compared these volumetric findings against traditional surface-based measurements. This validation step utilized the en face methodology to establish a baseline for comparison. The study team also conducted pathological examinations to verify the internal features observed in the scans. These combined efforts provided a comprehensive assessment of the imaging technique's reliability for preclinical research.

Key Findings From the Literature demonstrate a strong correlation between volumetric scanning and traditional surface-based measurements. The researchers reported an r-squared value of 0.99 for plaque surface area and 0.95 for plaque volume. Plaque volumes ranged from 0.04 to 3.1 cubic millimeters across the different mouse models. Intimal surface area measurements varied between 0.5 and 30 square millimeters. Maximum plaque thickness was recorded between 0.1 and 0.7 millimeters. The imaging technology successfully identified internal characteristics, including the lipid core and fibrous cap. Pathological analysis confirmed these structures as Stary type III-V lesions. These results show that the method provides a precise, empirical measure of plaque burden within the intact aorta.

Synthesis and Implications suggest that high-resolution scanning provides a robust alternative to traditional surface-based plaque assessment. The authors propose that this volumetric approach captures the full extent of arterial disease within intact vessels. Researchers confirmed that their imaging data correlates strongly with established surface area measurements. The study demonstrates that internal lesion characteristics, such as lipid cores, are clearly identifiable using this technology. Pathological validation confirms that the observed structures correspond to specific stages of plaque development. These findings indicate that the method offers a more precise empirical measure for preclinical disease quantification. The authors conclude that this technique is suitable for evaluating plaque severity across various dyslipidemic mouse models. Future investigations may utilize this volumetric framework to assess therapeutic interventions in intact aortic tissues.