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Neuropathy Score Reporting and Data System: A Reporting Guideline for MRI of Peripheral Neuropathy With a Multicenter
Avneesh Chhabra1,2, Swati D Deshmukh3, Amelie M Lutz4
1Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9178.
AJR. American Journal of Roentgenology
|March 2, 2022
Summary
A new MRI scoring system, the Neuropathy Score Reporting and Data System (NS-RADS), accurately classifies peripheral neuropathy (PN). This standardized approach improves reporting and communication for various nerve conditions.
Area of Science:
- Radiology
- Neurology
- Medical Imaging
Background:
- Standardized guidelines and scoring systems are needed for peripheral neuropathy (PN) evaluation and MRI reporting.
- Current methods lack consistency, hindering accurate diagnosis and communication.
Purpose of the Study:
- To develop and validate the Neuropathy Score Reporting and Data System (NS-RADS) for classifying and grading PN on MRI.
- To establish a reliable system for consistent reporting of nerve pathologies.
Main Methods:
- Retrospective analysis of 100 patients with nerve imaging and clinical diagnoses.
- Development of NS-RADS with defined criteria for PN classification (unremarkable, injury, neoplasia, entrapment, diffuse, NOS, postintervention).
- Validation by 11 radiologists with varying experience, blinded to clinical diagnoses, assessing interobserver agreement and accuracy.
Main Results:
- NS-RADS demonstrated a low miscategorization rate of 1.8%.
- Radiologists correctly identified final diagnoses in 71-88% of cases.
- Excellent inter-reader agreement was achieved for NS-RADS pathology (κ = 0.96) and muscle pathology (κ = 0.76).
- High accuracy rates (86-97%) were observed for classifying lesion severity.
Conclusions:
- The NS-RADS classification system is accurate and reliable for peripheral neuropathy across diverse conditions and reader experience levels.
- NS-RADS provides a standardized guideline for MRI reporting of PN, enhancing multidisciplinary communication.

