Your browser doesn't support javascript.
loading
Neuropathy Score Reporting and Data System: A Reporting Guideline for MRI of Peripheral Neuropathy With a Multicenter Validation Study.
Chhabra, Avneesh; Deshmukh, Swati D; Lutz, Amelie M; Fritz, Jan; Andreisek, Gustav; Sneag, Darryl B; Subhawong, Ty; Singer, Adam D; Wong, Philip K; Thakur, Uma; Pandey, Tarun; Chalian, Majid; Mogharrabi, Bayan N; Guirguis, Mina; Xi, Yin; Ahlawat, Shivani.
Afiliación
  • Chhabra A; Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9178.
  • Deshmukh SD; Department of Orthopedic Surgery, UT Southwestern Medical Center, Dallas, TX.
  • Lutz AM; Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA.
  • Fritz J; Department of Radiology, Stanford School of Medicine, Stanford, CA.
  • Andreisek G; Department of Radiology, NYU Grossman School of Medicine, New York, NY.
  • Sneag DB; Institute of Radiology, Cantonal Hospital Munsterlingen, Munsterlingen, Switzerland.
  • Subhawong T; Department of Radiology, University of Zurich, Zurich, Switzerland.
  • Singer AD; Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY.
  • Wong PK; Department of Radiology, University of Miami Health System, Miami, FL.
  • Thakur U; Northside Radiology Associates, Atlanta, GA.
  • Pandey T; Department of Radiology, Grady Memorial Hospital, Atlanta, GA.
  • Chalian M; Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9178.
  • Mogharrabi BN; Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR.
  • Guirguis M; Department of Radiology, Musculoskeletal Imaging and Intervention, University of Washington, Seattle, WA.
  • Xi Y; Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9178.
  • Ahlawat S; Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9178.
AJR Am J Roentgenol ; 219(2): 279-291, 2022 08.
Article en En | MEDLINE | ID: mdl-35234483
ABSTRACT
BACKGROUND. A standardized guideline and scoring system would improve evaluation and reporting of peripheral neuropathy (PN) on MRI. OBJECTIVE. The objective of this study was to create and validate a neuropathy classification and grading system, which we named the Neuropathy Score Reporting and Data System (NS-RADS). METHODS. This retrospective study included 100 patients with nerve imaging studies and known clinical diagnoses. Experts crafted NS-RADS using mutually agreed-on qualitative criteria for the classification and grading of PN. Different classes were created to account for the spectrum of underlying pathologies unremarkable (U), injury (I), neoplasia (N), entrapment (E), diffuse neuropathy (D), not otherwise specified (NOS), and postintervention state (PI). Subclasses were established to describe the severity or extent of the lesions. Validation testing was performed by 11 readers from 10 institutions with experience levels ranging from 3 to 18 years after residency. After initial reader training, cases were presented to readers who were blinded to the final clinical diagnoses. Interobserver agreement was assessed using correlation coefficients and the Conger kappa, and accuracy testing was performed. RESULTS. Final clinical diagnoses included normal (n = 5), nerve injury (n = 25), entrapment (n = 15), neoplasia (n = 33), diffuse neuropathy (n = 18), and persistent neuropathy after intervention (n = 4). The miscategorization rate for NS-RADS classes was 1.8%. Final diagnoses were correctly identified by readers in 71-88% of cases. Excellent inter-reader agreement was found on the NS-RADS pathology categorization (κ = 0.96; 95% CI, 0.93-0.98) as well as muscle pathology categorization (κ = 0.76; 95% CI, 0.68-0.82). The accuracy for determining milder versus more severe categories per radiologist ranged from 88% to 97% for nerve lesions and from 86% to 94% for muscle abnormalities. CONCLUSION. The proposed NS-RADS classification is accurate and reliable across different reader experience levels and a spectrum of PN conditions. CLINICAL IMPACT. NS-RADS can be used as a standardized guideline for reporting PN and improved multidisciplinary communications.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Enfermedades del Sistema Nervioso Periférico Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: AJR Am J Roentgenol Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Enfermedades del Sistema Nervioso Periférico Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: AJR Am J Roentgenol Año: 2022 Tipo del documento: Article