Engelke K, Glüer C C, Genant H K
Department of Radiology, University of California at San Francisco 94143, USA.
Calcif Tissue Int. 1995 Jan;56(1):19-25. doi: 10.1007/BF00298739.
In this study we analyzed the effect of variations in bone area size, baseline soft tissue composition represented by the R-value, and bone region of interest positioning on the precision in vivo of bone mineral density (BMD) and content (BMC) as measured by dual X-ray absorptiometry (DXA). The posterior-anterior (PA) spine, decubitus lateral, and femur modes were evaluated. Eleven (PA-spine), 9 (dec-lat), and 14 (femur) postmenopausal women were scanned twice on a Norland XR-26 with repositioning to determine short-term precision of BMD, BMC, AREA, and the R-value. Phantom precisions (CV[%] of 10 consecutive scans) for BMD (BMC) were PA spine: 0.66% (0.57%), neck: 1.1% (1.2%), and trochanter: 0.55% (1.0%). Precisions in vivo (CV[%]; two consecutive scans averaged over all patients) were PA spine: 0.9% (1.0%), dec-lat: 7.1% (18%), neck: 1.3% (1.9%), and trochanter: 2.5% (4.9%). BMD precision could be fully explained by BMC and AREA variations. However, BMC alone was a particularly poor predictor of BMD in the dec-lat (r2 = 0.05) and in the neck (r2 = 0.13) modes. AREA was a strong predictor for BMC precision explaining between 41% and 88% of the BMC changes. Changes in soft tissue composition contributed significantly in explaining the BMC changes in the dec-lat projection. A higher dependence of BMC changes on AREA changes resulted in a larger difference between BMC and BMD precision.(ABSTRACT TRUNCATED AT 250 WORDS)
在本研究中,我们分析了骨面积大小的变化、由R值代表的基线软组织成分以及感兴趣骨区域的定位对双能X线吸收法(DXA)测量的骨矿物质密度(BMD)和含量(BMC)体内测量精度的影响。评估了后前位(PA)脊柱、侧卧位和股骨模式。11名(PA脊柱)、9名(侧卧位)和14名(股骨)绝经后女性在Norland XR - 26上进行了两次扫描,并重新定位以确定BMD、BMC、面积(AREA)和R值的短期精度。BMD(BMC)的体模精度(10次连续扫描的CV[%])为:PA脊柱:0.66%(0.57%),颈部:1.1%(1.2%),大转子:0.55%(1.0%)。体内精度(CV[%];所有患者两次连续扫描的平均值)为:PA脊柱:0.9%(1.0%),侧卧位:7.1%(18%),颈部:1.3%(1.9%),大转子:2.5%(4.9%)。BMD精度可由BMC和AREA变化完全解释。然而,仅BMC在侧卧位(r2 = 0.05)和颈部(r2 = 0.13)模式下对BMD的预测能力特别差。AREA是BMC精度的强预测指标,可解释41%至88%的BMC变化。软组织成分的变化在解释侧卧位投影中的BMC变化方面有显著贡献。BMC变化对AREA变化的更高依赖性导致BMC和BMD精度之间的差异更大。(摘要截短于250字)