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Dataset Information

Development and validation of a rapid and robust method to determine visceral adipose tissue volume using computed tomography images.


ABSTRACT:

Background

Visceral adiposity is a risk factor for many chronic diseases. Existing methods to quantify visceral adipose tissue volume using computed tomographic (CT) images often use a single slice, are manual, and are time consuming, making them impractical for large population studies. We developed and validated a method to accurately, rapidly, and robustly measure visceral adipose tissue volume using CT images.

Methods

In-house software, Medical Executable for the Efficient and Robust Quantification of Adipose Tissue (MEERQAT), was developed to calculate visceral adipose tissue volume using a series of CT images within a manually identified region of interest. To distinguish visceral and subcutaneous adipose tissue, ellipses are drawn through the rectus abdominis and tran

SUBMITTER: Parikh AM 

PROVIDER: S-EPMC5578607 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature