Objectives: This paper aims to investigate the ability of a novel imaging technique, high-resolution peripheral quantitative computed tomography (HR-pQCT), to quantify joint space width at the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joints, and provide periarticular bone microstructure measurements (including volumetric density and morphometric indices). We also compared the sensitivity and specificity of HR-pQCT to detect erosions relative to plain radiography.
Methods: HR-pQCT imaging of the MCP and PIP joints of the dominant hand was performed in 30 rheumatoid arthritis (RA) and control subjects matched for age, sex and dominant hand use. The joint space width was calculated by determining the number of voxels between three-dimensional images of the articular surfaces. Periarticular bone microstructure was quantified for the 2nd and 3rd MCP joints using standard analysis. The presence of erosions was confirmed by viewing both two- and three-dimensional images of the joints.
Results: Quantitative measures of joint space width and periarticular bone microstructure were obtained with precision. Although not powered to detect differences between RA and control subjects, we identified a trend to narrowing of the 2nd MCP joints in RA (mean difference 250 μm, p=0.057). RA erosions most frequently occurred at the metacarpal head of the MCP joint, and HR-pQCT identified erosions in 24.7% more joints compared to plain radiography.
Conclusions: This is the first study to exploit the quantitative capabilities of HR-pQCT to provide joint space width measurements at the MCP and PIP joints. We provide further proof that HR-pQCT improves erosion detection and yields reproducible periarticular bone microstructure measurements.