Advances in deep-learning algorithms aiming to improve image quality have not yet been well studied for their use in clinical interpretation. In this study, we compared interobserver agreement and image quality for lumbar spine (L-spine) MRI assessment of 3D T2-weighted fast spin echo (T2w-FSE) MRI, with and without deep learning (DLRecon) reconstructions, as well as standard-of-care (SOC) 2D T2w-FSE MRI. This pilot study demonstrated that interobserver agreement for variables of interest was good to very good regardless of reconstruction or sequence type, and overall image quality of DLRecon was not inferior despite significant reduction in scanning time.
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