John A. Shepherd

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Articles (11)

Objective Excess 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. Methods Scans 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. Results The GEHC and Hologic VAT measures were highly correlated and validated in the separate data set ( r 2 = 0.97). VAT area measures substantially agreed for metabolic risk classification (weighted κ = 0.76) with no significant differences in the population mean values. Conclusions VAT 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.

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (3)

Bruce Kristal

Tufts University

UNITED STATES
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Marco Alessandro Minetto

University of Turin

ITALY
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Gertraud Maskarinec

Professor and Associate Director for Research Education

University of Hawaii

UNITED STATES
View details
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