- Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning–Reconstructed Double Inversion Recovery MRI Approach
This observational study compared the acquisition time, image quality, diagnostic confidence, and lesion detection rates among sagittal T2WI, standard DIR, and DL-reconstructed DIR in patients with inflammatory myelopathies. It was found that DL-reconstructed DIR significantly reduced acquisition time and improved image quality. DL-reconstructed DIR also improved lesion detection, showing superior diagnostic performance in inflammatory myelopathies without compromising diagnostic confidence.
- Deep Learning–Based Reconstruction for Accelerated Cervical Spine MRI: Utility in the Evaluation of Myelopathy and Degenerative Diseases
This study prospectively compared the image quality and diagnostic performance of conventional MRI and accelerated cervical MRI with DL-based reconstruction in evaluating cervical degenerative spine diseases and myelopathy. The DL-reconstructed protocol demonstrated reduction in scan time, higher or comparable SNR and CNR with higher or similar overall image quality, and higher sensitivity for detecting neural foraminal stenosis and comparable diagnostic performance for other degenerative cervical spinal diseases and myelopathy.
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