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Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
Published on: March 21, 2021
Comparison Between Single- and Multi-slice Computed Tomography Body Composition Analysis in Patients With
Leo R Brown1, Maria Soupashi1, Michael S Yule1,2,3
1Clinical Surgery, University of Edinburgh, Royal Infirmary of Edinburgh, Edinburgh, Scotland, UK.
Single-slice and multi-slice CT body composition analyses show high agreement for oesophagogastric cancer patients. Both methods similarly predict overall survival, though adiposity agreement is lower in obese individuals.
Area of Science:
- Radiology
- Oncology
- Body Composition Analysis
Background:
- Single-slice CT body composition is established for cancer prognostication.
- Multi-slice CT offers volumetric measurements, but clinical utility is underexplored.
Purpose of the Study:
- Evaluate agreement between single- and multi-slice CT body composition analyses in oesophagogastric cancer patients.
- Explore associations between these body composition measures and overall survival.
Main Methods:
- Compared single-slice (L3 cross-section) and multi-slice (T12-L4 volume) CT measurements for skeletal muscle (SKM), subcutaneous adipose (SAT), visceral adipose (VAT), and intermuscular adipose (IMAT).
- Utilized Pearson correlation and Bland-Altman analyses for agreement quantification.
- Employed Cox proportional hazard modeling to assess overall survival associations.
Main Results:
- High correlations observed between single- and multi-slice measurements for SKM (R: 0.97), SAT (R: 0.98), VAT (R: 0.97), SKM radiodensity (R: 0.93), and IMAT (R: 0.88).
- Narrow limits of agreement (LoA) for SAT (±0.43), VAT (±0.46), and SKM (±0.48).
- Poorer agreement for adiposity in patients with obesity (BMI > 30).
- Comparable effect sizes for overall survival between single- and multi-slice analyses.
Conclusions:
- Single- and multi-slice CT body composition assessments demonstrate high correlation and comparable survival associations in oesophagogastric cancer.
- Agreement for adiposity measurements is reduced in obese patients, potentially limiting single-slice accuracy.
- Both methods are valuable for prognostication, with considerations for obesity.
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