January 15, 2014Journal of Magnetic Resonance Imaging
Validation of volumetric and single‐slice MRI adipose analysis using a novel fully automated segmentation method
Key result
Fully automated adipose segmentation showed excellent agreement with manual segmentation and reduced analysis time to 2 seconds per slice compared with 8 minutes per slice.
Why the study?
Does a fully automated adipose segmentation method improve analysis time while maintaining precision compared to manual segmentation in subjects undergoing abdominal MRI?
Population
Healthy adult volunteers, adolescent volunteers, and subjects with nonalcoholic fatty liver disease and…
Comparison
Fully automated adipose segmentation method for… vs Manual segmentation
Design
Other
Authors
Discussion
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Implication
May expedite adipose quantification on abdominal MRI; leaves open prospective validation and outcome impact.
Structured PICO
Does a fully automated adipose segmentation method improve analysis time while maintaining precision compared to manual segmentation in subjects undergoing abdominal MRI?
P
Population
A diverse cohort including healthy adults and adolescents, and subjects with nonalcoholic fatty liver disease and lipodystrophies, with BMI ranging from 15.6 to 41.76.
E
Exposure
Fully automated adipose segmentation method for MRI fat fraction abdominal imaging
C
Comparator
Manual segmentation
O
Outcome
Precision and analysis time of segmentationsurrogate
A fully automated MRI adipose segmentation method is highly accurate and significantly faster than manual segmentation across diverse patient populations.
Cite This Study
Addeman et al. (2014) studied Healthy volunteers, nonalcoholic fatty liver disease, and lipodystrophies. Fully automated adipose segmentation method vs. Manual segmentation was evaluated on Precision and analysis time of segmentation. Fully automated adipose segmentation showed excellent agreement with manual segmentation and reduced analysis time to 2 seconds per slice compared with 8 minutes per slice.