Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Body composition is associated with risk of disease progression and treatment complications in a variety conditions. Therefore, quantification skeletal muscle mass adipose tissues on Computed Tomography (CT) and/or Magnetic Resonance Imaging (MRI) may inform surgery evaluation prognosis. This article describes two methods originally described by Mourtzakis et al. Avrutin al.: tissue segmentation linear measurement muscle. Patients' cross-sectional image at the midpoint third lumbar vertebra was obtained for both measurements. For segmentation, images were imported into Slice-O-Matic colored muscle, intramuscular tissue, visceral subcutaneous tissue. Then, surface areas each type calculated using tag area function. measurements, height width bilateral psoas paraspinal muscles level are measured calculation these four values yield estimated mass. Segmentation analysis provides quantitative, comprehensive information about patients' body composition, which can then be correlated progression. However, process more time-consuming requires specialized training. Linear measurements an efficient clinic-friendly tool quick preoperative evaluation. do not provide composition. Nonetheless, have wide applications diseases to predict surgical outcomes, options patients.