Editorial
Getting Quantitative Diffusion-Weighted MR Neurography and Tractography Ready for Clinical Practice
Jan Fritz MD,
Shivani Ahlawat MD,
Corresponding Author
Jan Fritz MD
From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Address reprint requests to: J.F., Johns Hopkins University School of Medicine, Russell H. Morgan Department of Radiology and Radiological Science, Section of Musculoskeletal Radiology, 601 N. Caroline St., JHOC 3140A, Baltimore, MD 21287. E-mail: [email protected]Search for more papers by this authorShivani Ahlawat MD
From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Search for more papers by this authorJan Fritz MD,
Shivani Ahlawat MD,
Corresponding Author
Jan Fritz MD
From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Address reprint requests to: J.F., Johns Hopkins University School of Medicine, Russell H. Morgan Department of Radiology and Radiological Science, Section of Musculoskeletal Radiology, 601 N. Caroline St., JHOC 3140A, Baltimore, MD 21287. E-mail: [email protected]Search for more papers by this authorShivani Ahlawat MD
From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Search for more papers by this authorLevel of Evidence: 5
Technical Efficacy Stage: 1
No abstract is available for this article.
References
- 1Martyn CN, Hughes RA. Epidemiology of peripheral neuropathy. J Neurol Neurosurg Psychiatry 1997; 62: 310–318.
- 2Ahlawat S, Belzberg AJ, Fayad LM. Utility of magnetic resonance imaging for predicting severity of sciatic nerve injury. J Comput Assist Tomogr 2018; 42: 580–587.
- 3Ahlawat S, Stern SE, Belzberg AJ, Fritz J. High-resolution metal artifact reduction MR imaging of the lumbosacral plexus in patients with metallic implants. Skeletal Radiol 2017; 46: 897–908.
- 4Fritz J, Dellon AL, Williams EH, Rosson GD, Belzberg AJ, Eckhauser FE. Diagnostic accuracy of selective 3-T MR neurography-guided retroperitoneal genitofemoral nerve blocks for the diagnosis of genitofemoral neuralgia. Radiology 2017; 285: 176–185.
- 5Farinas AF, Pollins AC, Stephanides M, et al. Diffusion tensor tractography to visualize axonal outgrowth and regeneration in a 4-cm reverse autograft sciatic nerve rabbit injury model. Neurol Res 2019; 41: 257–264.
- 6Hughes SW, Hellyer PJ, Sharp DJ, Newbould RD, Patel MC, Strutton PH. Diffusion tensor imaging reveals changes in microstructural integrity along compressed nerve roots that correlate with chronic pain symptoms and motor deficiencies in elderly stenosis patients. Neuroimage Clin 2019; 23: 101880.
- 7Sneag DB, Zochowski KC, Tan ET, et al. Denoising of diffusion MRI improves peripheral nerve conspicuity and reproducibility. J Magn Reson Imaging 2019 (this issue).
- 8Fritz J, Fritz B, Zhang J, et al. Simultaneous multislice accelerated turbo spin echo magnetic resonance imaging: Comparison and combination with in-plane parallel imaging acceleration for high-resolution magnetic resonance imaging of the knee. Invest Radiol 2017; 52: 529–537.
- 9Fritz J, Ahlawat S. High-resolution three-dimensional and cinematic rendering MR neurography. Radiology 2018; 288: 25.
- 10Wang H, Zheng R, Dai F, Wang Q, Wang C. High-field MR diffusion-weighted image denoising using a joint denoising convolutional neural network. J Magn Reson Imaging 2019 [Epub ahead of print].