Related Experiment Videos
Adipose tissue determinations in cadavers--a comparison between cross-sectional planimetry and computed tomography
S Rössner1, W J Bo, E Hiltbrandt
1Department of Medicine, Bowman Gray School of Medicine, Winston-Salem, NC 27103.
International Journal of Obesity
|October 1, 1990
Summary
Computed tomography (CT) accurately measures adipose tissue, correlating closely with direct methods. Retroperitoneal fat is a significant abdominal component, requiring careful interpretation of metabolic data.
Area of Science:
- Medical Imaging
- Anatomy
- Body Composition Analysis
Background:
- Accurate measurement of adipose tissue is crucial for understanding metabolic health.
- Computed tomography (CT) is a common imaging modality for assessing body composition.
- Direct morphometric methods provide a reference standard for validating imaging techniques.
Purpose of the Study:
- To compare adipose tissue surface area measurements between CT and planimetry in cadaveric slices.
- To evaluate the correlation between CT-derived fat measurements and direct morphometric analysis.
- To determine the proportion of retroperitoneal fat within abdominal slices.
Main Methods:
- Comparison of adipose tissue surface areas in 11 umbilical region slices (+/- 5 cm) from two cadavers.
- Utilized computed tomography (CT) and planimetry of band-sawed slices.
- Analyzed fat using various Hounsfield unit ranges (-250 to -50, -190 to -30, -140 to -40).
Main Results:
- A very close correlation (partial correlations ~0.90) was found between CT and planimetry.
- Retroperitoneal fat constituted a considerable proportion of the total adipose tissue surface.
- Results were consistent across different Hounsfield unit ranges for fat definition.
Conclusions:
- CT measurements of adipose tissue surface area closely agree with direct morphometric methods.
- CT can serve as a 'gold standard' for future research and development in body composition analysis.
- The significant contribution of intra-abdominal, extraperitoneal fat necessitates cautious interpretation of metabolic data linked to abdominal fat measurements.