Relationship between bone mineral density and strength derived from 3D-shaper and HR-pQCT in patients with X-linked osteoporosis related to PLS3.

Abstract

In individuals with PLS3 genetic variants, HR-pQCT and 3D-DXA analysis indicate a larger trabecular than cortical deficit. This is consistent with the lower aBMD from DXA at the lumbar spine than at the total hip.<h4>Introduction</h4>X-linked osteoporosis due to PLS3 genetic variants is a rare disease, clinically affecting men more than women. This study aimed to explore relationships between parameters obtained from DXA, high-resolution peripheral quantitative computed tomography (HR-pQCT), and 3D-DXA in thirteen adults with PLS3 variants.<h4>Methods</h4>The parameters were for 3D-DXA: trabecular volumetric bone mineral density (Tb.BMD), cortical surface BMD (Ct.sBMD), and bone strength at the total hip using 3D-DXA-based finite element models (3D Shaper® software, v2.14.0), and for HR-pQCT: Tb.BMD, cortical volumetric BMD (Ct.BMD), and bone strength at the distal radius and tibia using micro-finite element analysis. Results were compared with normative data of the scanner system (DXA) or from literature (3D-DXA, HR-pQCT) and expressed as median Z-scores. Spearman correlations were determined between the different parameters.<h4>Results</h4>aBMD at the lumbar spine was numerically lower (median Z-score - 1.7) than at the total hip (Z -1.3). 3D-DXA revealed a low Tb.BMD (Z -1.9), while Ct.sBMD was less affected (Z -1.0). HR-pQCT also showed a lower Tb.BMD (Z -1.9 at the radius and -2.5 at the tibia) than Ct.BMD (Z -0.4 and -1.3, respectively). 3D-DXA parameters were highly correlated with each other (p < 0.001) and with aBMD. No significant correlations were found between any of the 3D-DXA and HR-pQCT parameters.<h4>Conclusions</h4>Both HR-pQCT and 3D-DXA showed lower trabecular than cortical BMD in individuals with PLS3 variants, in line with the lower aBMD at the lumbar spine than at the total hip. Studies in larger cohorts and other bone disorders are needed to examine relationships between imaging modalities and their ability to predict bone fragility.