Abstract #1600
Texture analysis using chemical shift imaging improves differentiation between patients with and without osteoporotic vertebral fractures
Nico Sollmann1,2,3, Edoardo A. Becherucci2, Christof Boehm4, Malek El Husseini2, Stefan Ruschke4, Egon Burian2, Jan S. Kirschke2, Thomas M. Link3, Karupppasamy Subburaj5, Dimitrios C. Karampinos4, Roland Krug3, Thomas Baum2, and Michael Dieckmeyer2
1Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany, 2Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany, 3Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 4Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 5Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design, Singapore, Singapore
Synopsis
Osteoporosis is characterized by increased skeletal fragility with vertebral fractures (VFs). Areal bone mineral density (BMD) from dual-energy X-ray absorptiometry (DXA) is the reference standard but has well-known limitations. Texture analysis (TA) can provide parameters of tissue microstructure using spine chemical shift encoding-based water-fat MRI (CSE-MRI) and computed tomography (CT), thus potentially improving fracture risk estimation. This study found that a model including volumetric BMD (vBMD) and several texture features (TFs) from CSE-MRI and CT predicts 81% of the variance regarding osteoporotic VF status, compared to 47% when based on vBMD and the proton density fat fraction (PDFF) only.
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