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

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

ObjectivesTo 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.MethodsThis single-center retrospective study included pati...

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Bibliographic Details
Main Authors: Jannis Bodden, Michael Dieckmeyer, Nico Sollmann, Egon Burian, Sebastian Rühling, Maximilian T. Löffler, Anjany Sekuboyina, Malek El Husseini, Claus Zimmer, Jan S. Kirschke, Thomas Baum
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Endocrinology
Subjects:
osteoporosis
osteoporotic fractures
bone density
tomography
x-ray computed
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1207949/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1207949/full

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