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

Author:

Bennett Jonathan P.1ORCID,Fan Bo2,Liu En1,Kazemi Leila1,Wu Xian‐Ping3,Zhou Hou‐De3ORCID,Lu Ying4ORCID,Shepherd John A.1ORCID

Affiliation:

1. University of Hawaii Cancer Center Honolulu Hawaii USA

2. Department of Radiology and Bioimaging, University of California San Francisco San Francisco California USA

3. National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University Chansha Hunan China

4. Department of Biomedical Data Science, Stanford University School of Medicine Stanford California USA

Abstract

AbstractObjectiveExcess 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 κ 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 κ = 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.

Funder

General Electric

Publisher

Wiley

Subject

Nutrition and Dietetics,Endocrinology,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

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