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Neuropathy Score Reporting and Data System (NS-RADS): A Practical Review of MRI-Based Peripheral Neuropathy Assessment.
Taneja, Atul K; Chhabra, Avneesh.
Affiliation
  • Taneja AK; Department of Radiology, UT Southwestern Medical Center, Dallas, TX; Hospital Israelita Albert Einstein, Sao Paulo, SP, Brazil.
  • Chhabra A; Department of Orthopedic Surgery, UT Southwestern Medical Center, Dallas, TX; Johns Hopkins University, Baltimore, MD; Walton Center of Neuroscience, Liverpool, UK; University of Dallas, Richardson, TX; Johns Hopkins University, Maryland, MD; Walton Centre for Neuroscience, Liverpool, UK. Electronic address: avneesh.chhabra@utsouthwestern.edu.
Semin Ultrasound CT MR ; 44(4): 386-397, 2023 Aug.
Article in En | MEDLINE | ID: mdl-37437974
The Neuropathy Score Reporting and Data System (NS-RADS) is a newly developed MR imaging-based classification that standardizes reporting and multidisciplinary communication for MR imaging diagnosis and follow-up of peripheral neuropathies. NS-RADS classification has shown to be accurate and reliable across different centers, readers' experience levels, and degrees of peripheral neuropathies, which include nerve injury, entrapment, neoplasm, diffuse neuropathy, post-interventional status, and temporal changes in muscle denervation. This article brings a practical review of NS-RADS classification, representative MR cases, and a step-by-step tutorial on how to approach this staging system. Readers can gain knowledge and apply it in their practice, aiming to standardize the communications between specialties and improve patient management.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peripheral Nervous System Diseases Limits: Humans Language: En Journal: Semin Ultrasound CT MR Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article Affiliation country: Brazil Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peripheral Nervous System Diseases Limits: Humans Language: En Journal: Semin Ultrasound CT MR Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article Affiliation country: Brazil Country of publication: United States