ArticleSkeletal radiology2023
Diagnostic performance of deep learning-based reconstruction algorithm in 3D MR neurography.
Article in Skeletal radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Editorial for "3D Brachial Plexus Neurography With Variable-Rate Selective Excitation RF Pulses".Journal of magnetic resonance imaging : JMRI · 2026Article
- Deep Learning-Augmented Zero Echo Time MRI Increases Diagnostic Confidence for Osseous Assessment in Hand and Foot MRI Protocols.Diagnostics (Basel, Switzerland) · 2026Article
- Efficiency of Artificial Intelligence in Three-Dimensional Reconstruction of Medical Imaging.Cureus · 2025Review
- 3D MR Neurography of Craniocervical Nerves: Comparing Double-Echo Steady-State and Postcontrast STIR with Deep Learning-Based Reconstruction at 1.5T.AJNR. American journal of neuroradiology · 2025Article
- Magnetic Resonance Imaging of the Peripheral Nerves and Fascicles of the Knee Using Double Echo Steady State Sequence at 7 Tesla.Korean journal of radiology · 2025Article
- Evaluation of Image Quality and Scan Time Efficiency in Accelerated 3D T1-Weighted Pediatric Brain MRI Using Deep Learning-Based Reconstruction.Korean journal of radiology · 2025Article
- Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine.Insights into imaging · 2025Article
- The value of Fast Dixon combined with deep learning technology in contrast agent-free high-resolution magnetic resonance imaging of the brachial plexus.Frontiers in neurology · 2025Article
- Enhanced bone assessment of the shoulder using zero-echo time MRI with deep-learning image reconstruction.Skeletal radiology · 2024Article
- Deep learning-based pseudo-CT synthesis from zero echo time MR sequences of the pelvis.Insights into imaging · 2024Article
- Optimized 3D brachial plexus MR neurography using deep learning reconstruction.Skeletal radiology · 2024Article
- Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles.Frontiers in neurology · 2024Article
- Lumbar safety triangle: comparative study of coronal and coronal oblique planes in 3.0-T magnetic resonance imaging.Radiologia brasileiraArticle
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6 authors.
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Abstract
objectiveThe study aims to evaluate the diagnostic performance of deep learning-based reconstruction method (DLRecon) in 3D MR neurography for assessment of the brachial and lumbosacral plexus. MATERIALS AND
methodsThirty-five exams (18 brachial and 17 lumbosacral plexus) of 34 patients undergoing routine clinical MR neurography at 1.5 T were retrospectively included (mean age: 49 ± 12 years, 15 female). Coronal 3D T2-weighted short tau inversion recovery fast spin echo with variable flip angle sequences covering plexial nerves on both sides were obtained as part of the standard protocol. In addition to standard-of-care (SOC) reconstruction, k-space was reconstructed with a 3D DLRecon algorithm. Two blinded readers evaluated images for image quality and diagnostic confidence in assessing nerves, muscles, and pathology using a 4-point scale. Additionally, signal-to-noise ratio (SNR) and contrast-to-noise ratios (CNR) between nerve, muscle, and fat were measured. For comparison of visual scoring result non-parametric paired sample Wilcoxon signed-rank testing and for quantitative analysis paired sample Student's t-testing was performed.
resultsDLRecon scored significantly higher than SOC in all categories of image quality (p < 0.05) and diagnostic confidence (p < 0.05), including conspicuity of nerve branches and pathology. With regard to artifacts there was no significant difference between the reconstruction methods. Quantitatively, DLRecon achieved significantly higher CNR and SNR than SOC (p < 0.05).
conclusionDLRecon enhanced overall image quality, leading to improved conspicuity of nerve branches and pathology, and allowing for increased diagnostic confidence in evaluation of the brachial and lumbosacral plexus.
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