Abstract
Introduction: Micro-computed tomography (micro-CT) is a standard 3D technique for non-destructive analysis of bone micro-architecture. Although there have been many micro-CT studies in contemporary literature, inter-study comparability is often challenging due to a lack of methodological standardization, particularly regarding human bone analyses. Aim: This study aimed to assess the consistency of micro-CT generated micro-architectural parameters obtained by two researchers (inter-observer reliability), by one researcher in two attempts (intra-observer reliability), as well as between manual and semi-automatic determination of the region of interest (ROI). Material and methods: Superolateral femoral neck samples (n=8) were scanned with Bruker 1172 micro-CT system with a voxel size of 10 µm. We manually determined cortical and trabecular ROI (two authors, two attempts with a 45-day span). Also, trabecular ROI was determined using a semi-automatic method (round-shaped ROI with 6.5 mm diameter). Results: The intraclass correlation coefficient (ICC) showed a high degree of consistency in the measurement of micro-architectural parameters of the superolateral femoral neck using the micro-CT (ICC range: 0.721-0.998; p<0.05). However, a detailed analysis revealed significant inter-observer and intra-observer differences, predominantly reflected in cortical porosity parameters (Student's t-test for dependent samples, p<0.05). On the other hand, the choice of ROI did not significantly affect trabecular micro-architectural parameters among researchers and between manual and semi-automatic demarcation methods (Student's t-test for dependent samples, p>0.05). Conclusion: Our study emphasizes the importance of standardizing the methodology used in micro-CT evaluations of human bone samples, which could facilitate reliable inter-study comparison and ensure an adequate interpretation of results.
Funder
Ministry of Education, Science and Technological Development of the Republic of Serbia
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)