Publications by authors named "Francois Poullain"
The current definition of osteoporosis includes alteration of bone quality. The assessment of bone quality is improved by the development of new texture analysis softwares. Our objectives were to assess if proximal femoral trabecular bone texture measured in Ultra high field (UHF) 7 Tesla MRI and CT scan were related to biomechanical parameters, and if the combination of texture parameters and areal bone mineral density (aBMD) measured by dual-energy X-ray absorptiometry provided a better prediction of femoral failure than aBMD alone.
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- The study explores using texture parameters from MRI and CT scans to identify patients at risk for vertebral fragility fractures, while also creating a decision tree and applying Random Forest analysis for fracture prediction.
- Researchers assessed 180 vertebrae from 60 patients with and without fragility fractures, finding 12 texture parameters and Hounsfield Unit Bone Density significantly distinguished between the groups, unlike T score and BMD.
- Results showed that age and Hounsfield Unit Bone Density were the best predictors for fracture risk, with machine learning algorithms demonstrating high sensitivity and specificity, suggesting their potential in diagnosing osteoporosis through imaging.