Standardization of dual-energy x-ray visceral adipose tissue measures for comparison across clinical imaging systems

被引:9
作者
Bennett, Jonathan P. [1 ]
Fan, Bo [2 ]
Liu, En [1 ]
Kazemi, Leila [1 ]
Wu, Xian-Ping [3 ,4 ]
Zhou, Hou-De [3 ,4 ]
Lu, Ying [5 ]
Shepherd, John A. [1 ,6 ]
机构
[1] Univ Hawaii, Canc Ctr, Honolulu, HI USA
[2] Univ Calif San Francisco, Dept Radiol & Bioimaging, San Francisco, CA USA
[3] Cent South Univ, Xiangya Hosp 2, Natl Clin Res Ctr Metab Dis, Hunan Prov Key Lab Metab Bone Dis, Chansha, Hunan, Peoples R China
[4] Cent South Univ, Dept Metab & Endocrinol, Xiangya Hosp 2, Chansha, Hunan, Peoples R China
[5] Stanford Univ, Sch Med, Dept Biomed Data Sci, Stanford, CA USA
[6] Univ Hawaii, Canc Ctr, 701 Ilalo St,Suite 522, Honolulu, HI 96813 USA
关键词
METABOLIC RISK-FACTORS; CARDIOMETABOLIC RISK; WAIST CIRCUMFERENCE; DXA; FAT; ASSOCIATION; ABSORPTIOMETRY; DISEASE;
D O I
10.1002/oby.23885
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveExcess visceral adipose tissue (VAT) is a major risk factor for metabolic syndrome (MetS) and clinical guidelines have been proposed to define VAT levels associated with increased risk. The aim was to standardize VAT measures between two dual-energy x-ray absorptiometry (DXA) manufacturers who provide different VAT estimates to support standardization of measures across imaging modalities.MethodsScans from 114 individuals (ages 18-81 years) on GE HealthCare (GEHC) and Hologic DXA systems were compared via Deming regression to standardize VAT between the two systems, validated in a separate sample (n = 15), with & kappa; statistics to assess agreement of VAT measurements for classifying patients into risk categories.ResultsThe GEHC and Hologic VAT measures were highly correlated and validated in the separate data set (r2 = 0.97). VAT area measures substantially agreed for metabolic risk classification (weighted & kappa; = 0.76) with no significant differences in the population mean values.ConclusionsVAT measures can be estimated from GEHC and Hologic scans that classify individuals in a substantially similar way into metabolic risk categories, and systematic bias between the measures can be removed using simple regression equations. These findings allow for DXA VAT measures to be used in complement to other imaging modalities, regardless of whether scans used GEHC or Hologic systems.
引用
收藏
页码:2936 / 2946
页数:11
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