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Body condition scoring: comparing newly trained scorers and micro-computed tomography imaging
M E Easterly1, C J Foltz, M J Paulus
1Instrumentation and Controls Division, Oak Ridge National Laboratory, Bear Creek Road, Oak Ridge, TN 37831, USA.
Lab Animal
|June 1, 2001
Summary
Body Condition Scoring (BCS) is a fast and effective method for assessing mouse body composition. This technique accurately measures muscle and fat, regardless of scorer experience.
Area of Science:
- Animal models
- Physiology
- Biotechnology
Background:
- Body Condition Scoring (BCS) is a widely used method for assessing animal health.
- Accurate body composition assessment in mice is crucial for research.
- Existing methods may lack efficiency or require specialized training.
Purpose of the Study:
- To evaluate the efficacy of Body Condition Scoring (BCS) for assessing mouse body composition.
- To compare BCS accuracy with X-ray computed tomography (CT) in mice.
- To determine if scorer experience impacts BCS accuracy.
Main Methods:
- Utilized X-ray computed tomography (CT) technology for detailed body composition analysis in mice.
- Developed and applied a standardized Body Condition Scoring (BCS) protocol.
- Compared BCS assessments with CT-derived parameters (e.g., muscle thickness, fat percentage).
- Evaluated BCS accuracy across scorers with varying levels of training.
Main Results:
- BCS proved to be a quick and effective method for body condition assessment in mice.
- BCS results correlated well with CT-derived measurements of muscle thickness and fat.
- The accuracy of BCS was consistent, irrespective of whether the scorer was newly trained or an expert.
Conclusions:
- Body Condition Scoring (BCS) is a reliable and accessible tool for evaluating mouse body composition.
- BCS offers a practical alternative for routine body condition assessment in research settings.
- The ease of learning and consistent accuracy make BCS a valuable method for diverse research applications.