R. L. Goulson1, C. M. Harbaugh1, P. E. Rabban1, A. R. Peltier1, N. C. Wang1, G. L. Su1, M. J. Englesbe1, B. A. Derstine1, S. C. Wang1 1University Of Michigan,Surgery,Ann Arbor, MI, USA
Introduction:
Surgeons care for a highly variable patient population whose body composition has a very significant influence on their response to disease/injury and treatment. Analytic morphomics measures very detailed geometry and material characteristics for tissues, organs and bones throughout the body using high-throughput automated processing of medical imaging scans. We have previously reported that factors such as psoas muscle size are highly predictive of clinical outcomes following surgery (i.e. how frail patients are). Analysis of real-world motor vehicle crash cases has demonstrated that morphomic characteristics are highly significant in whether an individual sustains injuries in a motor vehicle crash (i.e. how fragile patients are). The objective of this research was to define the population distribution of morphomic factors that have been identified to be significantly predictive of patient fragility and frailty in surgical populations.
Methods:
Chest, abdomen, and pelvis CT scans were collected from over 4700 patients, aged 16 to 91 years, who were scanned for trauma indications. Customized software was used to perform automated processing of these CT scans and to measure detailed body geometry and composition data in an anatomically-indexed format. Morphomic measures altered by injury were excluded.
Results:
Quantile regression was performed to generate curves of morphomic factors corresponding to the 5th, 25th, 50th, 75th, and 95th percentiles from ages 16-91 for both men and women.
Conclusion:
We have curated and analyzed a large Reference Analytic Morphomic Population (RAMP) that serves as an excellent control population to determine the effect of body composition on clinical outcome. Motor vehicle crashes affect a large and generally random portion of the population, including many individuals who are otherwise healthy. We utilized the CT scans obtained during their trauma evaluation for morphomic analysis and determined the population distribution of body composition and geometry factors that have previously been shown to influence clinical outcome following surgery (frailty) as well as the severity of injuries an individual sustains in a motor vehicle crash (fragility).
