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VALIDATION AND APPLICATION OF A CORTICAL DENSITY ALGORITHM TO QUANTIFY RIB CORTICAL THICKNESS CHANGES WITH AGE AND SEX

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abstract
Prior studies have characterized material property and geometric changes of the ribs with age, but limited research has characterized rib cortical thickness variation with age and sex. The objective of this research was to create sex-specific, continuous age-based regressions describing the cortical thickness variation for the entire rib cage. The cortical thickness algorithm was validated using clinical computed tomography (clinical-CT) and micro-CT scans of 17 rib specimens from six male post mortem human subjects aged 42-81 years. Small mean differences in cortical thickness were observed between the clinical-CT and micro-CT scans by anatomical region (anterior vs lateral) and cross-sectional quadrants (superior, interior, inferior, exterior). Once validated, the cortical thickness algorithm was applied to 154 in-vivo clinical-CT scans of males and females ranging from age 10-97. Cortical thickness measurements were obtained for the entire rib cage and compared at the whole rib level, regional level, and cross-sectional quadrant level. The ribs were further analyzed between the true, false, and floating rib types. Sex-specific, age-based regressions were created and the average amount of cortical growth, cortical thinning, age at which thinning began, and percent change per year were measured. 7,360 individual regressions describing local rib cortical thickness changes from ages 10-97 were developed for each sex across the 24 ribs. Overall, males experienced significantly greater cortical growth compared to females and also experienced cortical thinning at a significantly later age. False ribs were the thickest and floating ribs were the thinnest in both males and females. Cortical thinning showed a statistically significant interaction between sex, rib type, and anatomical region. Cortical growth and the age of the onset of cortical thinning did not depend on the rib type, anatomical region or cross-sectional quadrant. This research classifies localized changes in cortical thickness with age and sex in a continuous manner for the entire rib cage. These results can be used to study population specific demographics that are at an increased risk of injury and also be incorporated into finite element human body models to develop more biofidelic thorax models and accurately predict rib fractures.
subject
contributor
Hostetler, Zach (author)
Weaver, Ashley (committee chair)
Stitzel, Joel (committee member)
Gayzik, Francis S (committee member)
date
2020-01-08T09:35:24Z (accessioned)
2019 (issued)
degree
Biomedical Engineering (discipline)
2024-12-30 (liftdate)
embargo
2024-12-30 (terms)
identifier
http://hdl.handle.net/10339/95953 (uri)
language
en (iso)
publisher
Wake Forest University
title
VALIDATION AND APPLICATION OF A CORTICAL DENSITY ALGORITHM TO QUANTIFY RIB CORTICAL THICKNESS CHANGES WITH AGE AND SEX
type
Thesis

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