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Related Experiment Videos

Validation study of a new semi-automated software program for CT body composition analysis.

Naoki Takahashi1, Motokazu Sugimoto2, Sarah P Psutka3

  • 1Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, USA. takahashi.naoki@mayo.edu.

Abdominal Radiology (New York)
|April 9, 2017
PubMed
Summary

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A new semi-automated software, BodyCompSlicer, offers comparable CT body composition analysis to validated software, Slice-O-Matic, with significantly reduced analysis time for skeletal muscle, subcutaneous fat, and visceral fat.

Area of Science:

  • Radiology
  • Medical Imaging
  • Body Composition Analysis

Background:

  • Computed tomography (CT) is vital for quantifying abdominal muscle and fat.
  • Body composition significantly impacts clinical outcomes.
  • Accurate CT-based body composition analysis is crucial in research.

Purpose of the Study:

  • To compare a novel semi-automated software (BodyCompSlicer) with validated commercial software (Slice-O-Matic).
  • To evaluate the accuracy and efficiency of BodyCompSlicer for CT body composition analysis.

Main Methods:

  • CT scans of the abdomen (L3 level) from 30 patients were analyzed.
  • BodyCompSlicer performed semi-automated segmentation of skeletal muscle (SM), subcutaneous fat (SF), and visceral fat (VF).
  • Slice-O-Matic was used for manual segmentation; both softwares used CT attenuation thresholds.
Keywords:
Body compositionCachexiaComputed tomographySarcopenia

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Main Results:

  • BodyCompSlicer demonstrated high inter-observer agreement (ICC: 0.997-1.000) with low variability (COV: 0.8-1.5%).
  • Inter-software analysis showed strong agreement (ICC: 0.991-0.998) with acceptable variability (COV: 2.0-3.9%).
  • BodyCompSlicer analysis time (70-100 min) was significantly faster than Slice-O-Matic (150-180 min).

Conclusions:

  • BodyCompSlicer provides reliable CT body composition analysis comparable to Slice-O-Matic.
  • The semi-automated approach of BodyCompSlicer enhances efficiency without compromising accuracy.