Holistic shape variation of the rib cage in an adult population.

Front Bioeng Biotechnol

Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, United States.

Published: September 2024

AI Article Synopsis

  • Traumatic injuries to the thorax are prevalent, and the risk of these injuries varies among individuals based on factors like rib cage geometry and biomechanics, which influence injury tolerance.
  • Researchers created an automated system to measure rib cage dimensions in 1,719 adults aged 25-45, revealing that the measurements were highly accurate and consistent.
  • The study found significant differences in rib cage measurements between sexes and identified stature and weight as major predictors of various rib cage features, with demographic factors explaining a considerable portion of the variability in rib cage shapes.

Article Abstract

Traumatic injuries to the thorax are a common occurrence, and given the disparity in outcomes, injury risk is non-uniformly distributed within the population. Rib cage geometry, in conjunction with well-established biomechanical characteristics, is thought to influence injury tolerance, but quantifiable descriptions of adult rib cage shape as a whole are lacking. Here, we develop an automated pipeline to extract whole rib cage measurements from a large population and produce distributions of these measurements to assess variability in rib cage shape. Ten measurements of whole rib cage shape were collected from 1,719 individuals aged 25-45 years old including angular, linear, areal, and volumetric measures. The resulting pipeline produced measurements with a mean percent difference to manually collected measurements of 1.7% ± 1.6%, and the whole process takes 30 s per scan. Each measurement followed a normal distribution with a maximum absolute skew value of 0.43 and a maximum absolute excess kurtosis value of 0.6. Significant differences were found between the sexes ( < 0.001) in all except angular measures. Multivariate regression revealed that demographic predictors explain 29%-68% of the variance in the data. The angular measurements had the three lowest R values and were also the only three to have little correlation with subject stature. Unlike other measures, rib cage height had a negative correlation with BMI. Stature was the dominant demographic factor in predicting rib cage height, coronal area, sagittal area, and volume. Subject weight was the dominant demographic factor for rib cage width, depth, axial area, and angular measurements. Age was minimally important in this cohort of adults from a narrow age range. Individuals of similar height and weight had average rib cage measurements near the regression predictions, but the range of values across all subjects encompassed a large portion of their respective distributions. Our findings characterize the variability in adult rib cage geometry, including the variation within narrow demographic criteria. In future work, these can be integrated into computer aided engineering workflows to assess the influence of whole rib cage shape on the biomechanics of the adult human thorax.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11445027PMC
http://dx.doi.org/10.3389/fbioe.2024.1432911DOI Listing

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