Cargando…
Machine Learning Model to Predict Osteoporotic Spine with Hounsfield Units on Lumbar Computed Tomography
OBJECTIVE: Bone mineral density (BMD) is an important consideration during fusion surgery. Although dual X-ray absorptiometry is considered as the gold standard for assessing BMD, quantitative computed tomography (QCT) provides more accurate data in spine osteoporosis. However, QCT has the disadvant...
Autores principales: | Nam, Kyoung Hyup, Seo, Il, Kim, Dong Hwan, Lee, Jae Il, Choi, Byung Kwan, Han, In Ho |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Neurosurgical Society
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616984/ https://www.ncbi.nlm.nih.gov/pubmed/31290297 http://dx.doi.org/10.3340/jkns.2018.0178 |
Ejemplares similares
-
Hounsfield Units on Lumbar Computed Tomography for Predicting Regional Bone Mineral Density
por: Kim, Kyung Joon, et al.
Publicado: (2019) -
Value of computed tomography Hounsfield units in predicting pedicle screw loosening in the thoracic spine
por: Lee, Minsu, et al.
Publicado: (2022) -
Posterolateral lumbar fusion: Relationship between computed tomography Hounsfield units and symptomatic pseudoarthrosis
por: Nguyen, Ha Son, et al.
Publicado: (2015) -
Average Lumbar Hounsfield Units Predicts Osteoporosis-Related
Complications Following Lumbar Spine Fusion
por: St. Jeor, Jeffery D., et al.
Publicado: (2020) -
Opportunistic osteoporosis screening via the measurement of frontal skull Hounsfield units derived from brain computed tomography images
por: Na, Min Kyun, et al.
Publicado: (2018)