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A Regression Approach to Assess Bone Mineral Density of Patients undergoing Total Hip Arthroplasty through Gait Analysis
- Source :
- MeMeA
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Total Hip Arthroplasty (THA) is the gold standard for hip replacement surgery. It can be performed with two different kinds of prostheses: cemented and uncemented. The surgeons have always decided on the type of prosthesis based on the age, sex of the patient and bone stock on x rays. In this paper 42 subjects underwent THA and performed both gait analysis and bone mineral density (BMD) evaluation through CT scans; spatial and temporal gait parameters were used to predict BMD of the distal and proximal parts of the femur before and one year after surgery using machine learning regression analysis. A simple linear regression (LR) and k-nearest neighbor (KNN) were implemented coding with Python Scikit-Learn libraries and some evaluation metrics were computed: the coefficient of determination (R2), mean absolute error, mean squared error and root mean squared error. Both the algorithms had a R2 greater than 75% in predicting both proximal and distal; particularly, LR obtained the highest score of 88.4% in predicting the BMD before the THA and of 81.3% after the THA. All the R2 of KNN ranged from 75% and 77%. All the calculated errors were always below 0.001. In conclusion, this research shows the feasibility of gait parameters for assessing the follow-up after 52 weeks of patients undergoing THA by predicting the BMD. Moreover, the results give insights about the relationship between the patterns of gait and BMD.
- Subjects :
- musculoskeletal diseases
Bone mineral
Orthodontics
Mean squared error
business.industry
medicine.medical_treatment
Regression analysis
Total Hip Arthroplasty
Bone Mineral Density
musculoskeletal system
Prosthesis
Regression
Hip replacement (animal)
030218 nuclear medicine & medical imaging
Machine Learning
03 medical and health sciences
0302 clinical medicine
Gait (human)
Gait analysis
medicine
Femur
business
030217 neurology & neurosurgery
Gait Analysi
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
- Accession number :
- edsair.doi.dedup.....e77ef1b58b0706c99d914c2daad3dfda