Mesinovic Jakub, Breasail Mícheál Ó, Burt Lauren A, Shore-Lorenti Cat, Zebaze Roger, Lim Camelia Q E, Ling Zihui, Ebeling Peter R, Scott David, Zengin Ayse
Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC 3125, Australia.
Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia.
JBMR Plus. 2024 Dec 3;9(2):ziae158. doi: 10.1093/jbmrpl/ziae158. eCollection 2025 Feb.
Quantifying precision error for DXA, peripheral QCT (pQCT), and HR-pQCT is crucial for monitoring longitudinal changes in body composition and musculoskeletal outcomes. Agreement and associations between bone variables assessed using pQCT and second-generation HR-pQCT are unclear. This study aimed to determine the precision of, and agreement and associations between, bone variables assessed via DXA, pQCT, and second-generation HR-pQCT. Thirty older adults (mean age: 64.2 8.0 yr; women: 67%) were recruited. DXA scans were performed at the total hip, lumbar spine, and whole body. Distal (4%) and proximal (30%/33%/66%) skeletal sites at the radius and tibia were scanned with pQCT and/or HR-pQCT. Root-mean-squared coefficients of variation (%CV) were calculated to define precision errors, and Bland-Altman plots assessed agreement between densitometric estimates. Pearson correlations and linear regression explored relationships between bone variables at different skeletal sites and proportional bias, respectively. Precision errors ranged between 0.55% and 1.6% for DXA, 0.40% and 4.8% for pQCT, and 0.13% and 30.7% for HR-pQCT. Systematic bias was identified between pQCT- and HR-pQCT-determined radius and tibia volumetric BMD (vBMD) estimates (all <.001). Proportional bias was not observed between vBMD measures at any skeletal site (all >.05). pQCT- and HR-pQCT-determined total, trabecular, and cortical vBMD and estimates of bone strength at the radius and tibia were strongly correlated (all <.05). Precision error was low for most bone variables and within the expected range for all imaging modalities. We observed significant systematic bias, but no proportional bias, between pQCT- and second-generation HR-pQCT-determined vBMD estimates at the radius and tibia. Nevertheless, measures of bone density and strength were strongly correlated at all skeletal sites. These findings suggest that although bone density and strength estimates from both imaging modalities are not interchangeable, they are strongly related and likely have similar fracture prediction capabilities.
量化双能X线吸收法(DXA)、外周定量CT(pQCT)和高分辨率外周定量CT(HR-pQCT)的精确误差对于监测身体成分和肌肉骨骼指标的纵向变化至关重要。使用pQCT和第二代HR-pQCT评估的骨变量之间的一致性和相关性尚不清楚。本研究旨在确定通过DXA、pQCT和第二代HR-pQCT评估的骨变量的精确性、一致性和相关性。招募了30名老年人(平均年龄:64.2±8.0岁;女性:67%)。在全髋、腰椎和全身进行DXA扫描。使用pQCT和/或HR-pQCT扫描桡骨和胫骨的远端(4%)和近端(30%/33%/66%)骨骼部位。计算均方根变异系数(%CV)以定义精确误差,并使用Bland-Altman图评估密度测量估计值之间的一致性。Pearson相关性分析和线性回归分别探讨了不同骨骼部位骨变量之间的关系和成比例偏差。DXA的精确误差在0.55%至1.6%之间,pQCT为0.40%至4.8%,HR-pQCT为0.13%至30.7%。在pQCT和HR-pQCT测定的桡骨和胫骨体积骨密度(vBMD)估计值之间发现了系统偏差(均P<0.001)。在任何骨骼部位的vBMD测量值之间均未观察到成比例偏差(均P>0.05)。pQCT和HR-pQCT测定的桡骨和胫骨的总vBMD、小梁vBMD、皮质vBMD以及骨强度估计值之间存在强烈相关性(均P<0.05)。大多数骨变量的精确误差较低,且在所有成像模式的预期范围内。我们观察到在pQCT和第二代HR-pQCT测定的桡骨和胫骨vBMD估计值之间存在显著的系统偏差,但没有成比例偏差。然而,在所有骨骼部位,骨密度和强度测量值之间存在强烈相关性。这些发现表明,尽管两种成像模式的骨密度和强度估计值不可互换,但它们密切相关,并且可能具有相似的骨折预测能力。