Human Lumbar Spine Responses from Vertical Loading: Ranking of Forces Via Brier Score Metrics and Injury Risk Curves.
Narayan YoganandanNicholas DeVogelJason MooreFrank PintarAnjishnu BanerjeeJiangYue ZhangPublished in: Annals of biomedical engineering (2019)
This study was conducted to quantify the human tolerance from inferior to superior impacts to whole lumbar spinal columns excised from 43 post mortem human subjects. The specimens were fixed at the ends, aligned in a consistent seated posture, load cells were attached to the proximal and distal ends of the fixation, and the impact was applied using a custom accelerator device. Pretest X-rays and computed tomography (CT) scans, prepositioned X-rays, and posttest X-rays, CT scans and dissection data were used to identify injuries. Right, left, and interval censoring processes were used for the survival analysis, 16 were right censored, 24 were interval censored, and three were left censored observations. Force-based injury risk curves were developed, and the optimal metric describing the underlying response to injury was identified using the Brier score metric. Material, geometry (disc and body areas), and demographic covariates were included in the analysis. The distal force was found to be optimal metric. The bone mineral density was a significant covariate for distal and proximal forces. Both material and geometrical factors affected the transmitted force in this mode of loading. These quantified data serve as the first set of human lumbar spinal column injury risk curves.
Keyphrases
- computed tomography
- endothelial cells
- bone mineral density
- induced pluripotent stem cells
- minimally invasive
- dual energy
- magnetic resonance imaging
- postmenopausal women
- single molecule
- positron emission tomography
- image quality
- induced apoptosis
- mass spectrometry
- machine learning
- signaling pathway
- magnetic resonance
- liquid chromatography
- big data
- data analysis
- artificial intelligence
- tandem mass spectrometry
- free survival