Segal Neil A, Glass Natalie A, Baker Jennifer L, Torner James C
Department of Orthopaedics and Rehabilitation, The University of Iowa, Iowa City, IA 52242-1088, USA.
J Clin Densitom. 2009 Jul-Sep;12(3):299-305. doi: 10.1016/j.jocd.2008.11.003. Epub 2009 Jan 1.
Dual-energy X-ray absorptiometry (DXA) is widely used for bone mineral density and body composition assessments. However, DXA is known to overestimate muscle mass in obese adults. We used single-slice CT (ssCT) to derive a correction factor to enhance accuracy of DXA estimation of specific strength (strength per unit muscle). One hundred and sixty-two adults (age: 55.0+/-2.7 yr, range: 50-59) were enrolled in this cross-sectional study and divided into groups based on body mass index (BMI: <30, 30-35, and > or =35). BMI groups did not differ in age, knee extensor strength (KES), thigh lean mass by DXA, or quadriceps cross-sectional area (CSA) by ssCT. Specific strength (KES/CSA) correlated with an uncorrected estimate of DXA-specific strength (r = 0.82, 0.53, 0.84 and 0.74, 0.59, 0.57, p < 0.001) in the lowest to highest BMI groups in men and women, respectively. Stronger correlations were achieved through correcting for BMI, age, and sex in estimating DXA-specific strength (r = 0.81, 0.79, and 0.96 in the lowest to highest BMI groups in men and 0.94, 0.81, 0.85 in women, p < 0.0001). Quantification of knee extensor-specific strength by DXA in men with BMI > 30 and all BMI groups in women greatly improved using a correction factor for DXA estimates of thigh lean mass.
双能X线吸收法(DXA)被广泛用于骨密度和身体成分评估。然而,已知DXA会高估肥胖成年人的肌肉量。我们使用单层CT(ssCT)得出一个校正因子,以提高DXA对特定强度(每单位肌肉的强度)估计的准确性。162名成年人(年龄:55.0±2.7岁,范围:50 - 59岁)参与了这项横断面研究,并根据体重指数(BMI:<30、30 - 35以及≥35)进行分组。各BMI组在年龄、膝关节伸肌力量(KES)、DXA测量的大腿瘦体重或ssCT测量的股四头肌横截面积方面并无差异。特定强度(KES/CSA)与DXA特定强度的未校正估计值相关(男性中,从最低到最高BMI组,r分别为0.82、0.53、0.84;女性中,r分别为0.74、0.59、0.57,p<0.001)。在估计DXA特定强度时,通过校正BMI、年龄和性别可实现更强的相关性(男性中,从最低到最高BMI组,r分别为0.81、0.79、0.96;女性中,r分别为0.94、0.81、0.85,p<0.0001)。对于BMI>30的男性以及所有BMI组的女性,使用针对DXA估计的大腿瘦体重的校正因子,DXA对膝关节伸肌特定强度的量化有了极大改善。