Abstract #1600

Texture analysis using chemical shift imaging improves differentiation between patients with and without osteoporotic vertebral fractures

Nico Sollmann^1,2,3, 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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