Single shot zonal oblique multislice SE-EPI diffusion-weighted imaging with low to ultra-high b-values for the differentiation of benign and malignant vertebral spinal fractures
- PMID: 34611530
- PMCID: PMC8476351
- DOI: 10.1016/j.ejro.2021.100377
Single shot zonal oblique multislice SE-EPI diffusion-weighted imaging with low to ultra-high b-values for the differentiation of benign and malignant vertebral spinal fractures
Abstract
Purpose: To investigate the diagnostic yield of low to ultra-high b-values for the differentiation of benign from malignant vertebral fractures using a state-of-the-art single-shot zonal-oblique-multislice spin-echo echo-planar diffusion-weighted imaging sequence (SShot ZOOM SE-EPI DWI).
Materials and methods: 66 patients (34 malignant, 32 benign) were examined on 1.5 T MR scanners. ADC maps were generated from b-values of 0,400; 0,1000 and 0,2000s/mm2. ROIs were placed into the fracture of interest on ADC maps and trace images and into adjacent normal vertebral bodies on trace images. The ADC of fractures and the Signal-Intensity-Ratio (SIR) of fractures relative to normal vertebral bodies on trace images were considered quantitative metrics. The appearance of the fracture of interest was graded qualitatively as iso-, hypo-, or hyperintense relative to normal vertebrae.
Results: ADC achieved an area under the curve (AUC) of 0.785/0.698/0.592 for b = 0,400/0,1000/0,2000s/mm2 ADC maps respectively. SIR achieved an AUC of 0.841/0.919/0.917 for b = 400/1000/2000s/mm2 trace images respectively. In qualitative analyses, only b = 2000s/mm2 trace images were diagnostically valuable (sensitivity:1, specificity:0.794). Machine learning models incorporating all qualitative and quantitative metrics achieved an AUC of 0.95/0.98/0.98 for b-values of 400/1000/2000s/mm2 respectively. The model incorporating only qualitative metrics from b = 2000s/mm2 achieved an AUC of 0.97.
Conclusion: By using quantitative and qualitative metrics from SShot ZOOM SE-EPI DWI, benign and malignant vertebral fractures can be differentiated with high diagnostic accuracy. Importantly qualitative analysis of ultra-high b-value images may suffice for differentiation as well.
Keywords: ADC, Apparent Diffusion Coefficient; AUC, Area Under the Curve; DWI, Diffusion Weighted Imaging; DXA, Dual Energy X-Ray Absorptiometry; Diffusion magnetic resonance imaging; FOV, Field of View; MRI, Magnetic Resonance Imaging; MShot, Multi Shot; Magnetic resonance imaging; PET-CT, Positron Emission Tomography – Computed Tomography; ROC, Receiver Operating Characteristics; SE-EPI, Spin Echo – Echo Planar Imaging; SI, Signal Intensity; SIR, Signal Intensity Ratio; SShot, Single Shot; STIR, Short Tau Inversion Recovery; Spinal fractures; T1w, T1-weighted; T2w, T2-weighted; TSE, Turbo Spin Echo; Vertebral body; ZOOM, Zonal Oblique Multislice.
© 2021 The Author(s).
Conflict of interest statement
Michael Wyss is a part-time employee of Philips Healthcare. The other authors declare no conflict of interest in relation to this article.
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