Key result
The AMRA Profiler yielded fat volume measurements highly correlated with the sliceOmatic gold standard (r=0.97, p<0.001) and was significantly faster (~3 min vs ~40 min).
Why the study?
Does the AMRA(TM) Profiler provide valid and faster quantification of intra-abdominal and subcutaneous adipose tissue from abdominal MR images compared to sliceOmatic in human volunteers?
Population
23 volunteers with a broad range of BMIs
Comparison
AMRA Profiler for quantification of… vs sliceOmatic (current gold-standard)
Design
Other
Authors
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Supports scalable adipose phenotyping in research; leaves open clinical adoption pending prospective validation.
Cross-Sectional (n=23)
Does the AMRA(TM) Profiler provide valid and faster quantification of intra-abdominal and subcutaneous adipose tissue from abdominal MR images compared to sliceOmatic in human volunteers?
Effect estimate: Pearson r 0.97
Absolute Event Rate: 4.73% vs 4.73%
p-value: p=< 0.001
The AMRA Profiler provides a fast, precise, and accurate method for quantifying body fat content and distribution from abdominal MR images, enabling large-scale phenotypic studies.
Borga et al. (2015) reported a cross-sectional. AMRA(TM) Profiler vs. sliceOmatic was evaluated on Fat volumes (intra-abdominal and subcutaneous adipose tissue) (Pearson r 0.97, p=< 0.001). The AMRA Profiler yielded fat volume measurements highly correlated with the sliceOmatic gold standard (r=0.97, p<0.001) and was significantly faster (~3 min vs ~40 min).
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