Overview

Accurate, reproducible, and practical visceral fat quantifications on Lunar iDXA

To effectively assess obesity and metabolic diseases that affect millions of people, you need credible measurements of visceral fat — reproducible results from a validated method. Designed to do just that, CoreScan* gives you a fast and easy way to accurately quantify visceral fat. The Lunar iDXA with the CoreScan application is the first and only system to quantify visceral fat by using low-dose, dual energy absorptiometry (DXA). It can help you predict patient risk, assess and manage treatment approaches, and add important contributions to the body of published research — all at a lower dose than conventional visceral fat measurement techniques.

Clinical image of body with visceral fat region identified.

Benefits

The CoreScan application offers you the following benefits:

ACCURACY

The CoreScan application features an exclusive algorithm that uses data from the Lunar iDXA body composition system — a validated DXA system you can trust.

REPRODUCIBILITY

Successful research and treatment begins with credible data: reproducible results from a validated method. CoreScan software sets a new standard for visceral fat quantification. It can help you predict cardio-metabolic risk, assess treatment approaches, and add important contributions to the body of published research. 

PRACTICALITY

The CoreScan application puts accurate visceral fat quantification within reach — opening new possibilities for clinicians and researchers. It provides a fast, easy method, whether assessing individual patients or performing large clinical studies — and at a lower dose of radiation than conventional visceral fat-measuring methods.

Technology

CoreScan enhances your visceral fat assessments with the following technological advantages:

ACCURACY

  • Excellent correlation with CT visceral-fat measurements, as shown in a study at Oregon Health & Science University1
  • Distinguishes between visceral and sub-cutaneous fat, using geometric calculations and attenuation measurements
  • Clear tissue characterization by Lunar iDXA provides the foundation for the CoreScan application to separate visceral fat from subcutaneous fat 

REPRODUCIBILITY

  • Standardized region of measurement determined by individual patient skeletal measurements
  • Assessment of the highly relevant android region (below the ribcage), where visceral fat deposits typically accumulate
  • Automatically defines the android region on each patient, avoiding variance between clinicians, machines, or research sites

PRACTICALITY

  • Fully automated algorithm processing for consistent, fast, and accurate results
  • Data displayed in terms of volume and mass for easy comparison and study across patient populations
  • Intuitive software that analyzes and displays results in just a few clicks
  • Processes visceral fat results with total body composition analysis — avoiding the need for separate image acquisition
  • Very low dose radiation exposure (less than the equivalent of one day of natural background radiation)2

See additional features in the latest enCORE software.


1. Kaul S et al., “Dual-energy X-ray Absorptiometry for Quantification of Visceral Fat.” Obesity. Publication forthcoming.

2. CRP Publication 60, 1990 Recommendations of the International Commission on Radiological Protection,published in Annals of the ICRP 1991; 21:No. 1-3.

CoreScan on "The Doctors"

CoreScan Featured on Popular Talk Show "The Doctors"

Recently, “The Doctors,” a daily US medical-advice television show reaching more than 2 million viewers, featured a segment highlighting GE’s CoreScan.


Related

Videos

CoreScan on Lunar iDXA: Dr. Mary Oates, a physical medicine and rehabilitation specialist, on why visceral fat is important, and how the Lunar iDXA can precisely quantify it during body composition exams. 

CoreScan at RSNA: Laura Stoltenberg, general manager of GE Healthcare’s Lunar business, talks about CoreScan, a new application on Lunar iDXA that accurately quantifies visceral "belly" fat during body composition analysis, recently showcased at RSNA. 

Features