Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans

OBJECTIVES: To investigate vertebral osteoporotic fracture (VF) prediction by automatically extracted trabecular volumetric bone mineral density (vBMD) from routine CT, and to compare the model with fracture prevalence-based prediction models. METHODS: This single-center retrospective study included...

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Detalles Bibliográficos
Autores principales: Bodden, Jannis, Dieckmeyer, Michael, Sollmann, Nico, Burian, Egon, Rühling, Sebastian, Löffler, Maximilian T., Sekuboyina, Anjany, El Husseini, Malek, Zimmer, Claus, Kirschke, Jan S., Baum, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390306/
https://www.ncbi.nlm.nih.gov/pubmed/37529605
http://dx.doi.org/10.3389/fendo.2023.1207949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390306/
https://www.ncbi.nlm.nih.gov/pubmed/37529605
http://dx.doi.org/10.3389/fendo.2023.1207949

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