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MRI-based Neuropathy Score Reporting And Data System (NS-RADS): multi-institutional wider-experience usability study of peripheral neuropathy conditions among 32 radiology readers

  • Avneesh Chhabra*
  • , Flavio Duarte Silva
  • , Bayan Mogharrabi
  • , Mina Guirguis
  • , Oganes Ashikyan
  • , Michael Rasper
  • , Eunhae Park
  • , Sven S. Walter
  • , Monica Umpierrez
  • , Parham Pezeshk
  • , Peter C. Thurlow
  • , Akshaya Jagadale
  • , Gitanjali Bajaj
  • , Aparna Komarraju
  • , Jim S. Wu
  • , Antonio Aguilera
  • , Fabiano Nassar Cardoso
  • , Felipe Souza
  • , Subba Rao Chaganti
  • , Neha Antil
  • Wilfred Manzano, Alexander Stebner, Jochen Evers, Matthew Petterson, Thomas Geisbush, Chad Downing, Diana Christensen, Elizabeth Horneber, Jun Man Kim, Rangarajan Purushothaman, Shilpa Mohanan, Surbhi Raichandani, George Vilanilam, Clementina Cabrera, John Manov, Sean Maloney, Swati D. Deshmukh, Amelie M. Lutz, Jan Fritz, Gustav Andreisek, Majid Chalian, Philip K. Wong, Tarun Pandey, Ty Subhawong, Yin Xi
*Corresponding author for this work
  • University of Texas Southwestern Medical Center
  • Johns Hopkins University
  • University of Dallas
  • The Walton Centre NHS Foundation Trust
  • John Peter Smith Hospital Fort Worth
  • Spital Thurgau AG
  • New York University
  • University of Tübingen
  • Emory University
  • University of Washington
  • University of Arkansas for Medical Sciences
  • Harvard University
  • University of Miami
  • Somerset NHS Foundation Trust
  • Stanford University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Objective: To determine the inter-reader reliability and diagnostic performance of classification and severity scales of Neuropathy Score Reporting And Data System (NS-RADS) among readers of differing experience levels after limited teaching of the scoring system. Methods: This is a multi-institutional, cross-sectional, retrospective study of MRI cases of proven peripheral neuropathy (PN) conditions. Thirty-two radiology readers with varying experience levels were recruited from different institutions. Each reader attended and received a structured presentation that described the NS-RADS classification system containing examples and reviewed published articles on this subject. The readers were then asked to perform NS-RADS scoring with recording of category, subcategory, and most likely diagnosis. Inter-reader agreements were evaluated by Conger’s kappa and diagnostic accuracy was calculated for each reader as percent correct diagnosis. A linear mixed model was used to estimate and compare accuracy between trainees and attendings. Results: Across all readers, agreement was good for NS-RADS category and moderate for subcategory. Inter-reader agreement of trainees was comparable to attendings (0.65 vs 0.65). Reader accuracy for attendings was 75% (95% CI 73%, 77%), slightly higher than for trainees (71% (69%, 72%), p = 0.0006) for nerves and comparable for muscles (attendings, 87.5% (95% CI 86.1–88.8%) and trainees, 86.6% (95% CI 85.2–87.9%), p = 0.4). NS-RADS accuracy was also higher than average accuracy for the most plausible diagnosis for attending radiologists at 67% (95% CI 63%, 71%) and for trainees at 65% (95% CI 60%, 69%) (p = 0.036). Conclusion: Non-expert radiologists interpreted PN conditions with good accuracy and moderate-to-good inter-reader reliability using the NS-RADS scoring system. Clinical relevance statement: The Neuropathy Score Reporting And Data System (NS-RADS) is an accurate and reliable MRI-based image scoring system for practical use for the diagnosis and grading of severity of peripheral neuromuscular disorders by both experienced and general radiologists. Key Points: • The Neuropathy Score Reporting And Data System (NS-RADS) can be used effectively by non-expert radiologists to categorize peripheral neuropathy. • Across 32 different experience-level readers, the agreement was good for NS-RADS category and moderate for NS-RADS subcategory. • NS-RADS accuracy was higher than the average accuracy for the most plausible diagnosis for both attending radiologists and trainees (at 75%, 71% and 65%, 65%, respectively).

Original languageEnglish
Pages (from-to)5228-5238
Number of pages11
JournalEuropean Radiology
Volume34
Issue number8
DOIs
StatePublished - 2024.08

Keywords

  • Entrapment neuropathies
  • Magnetic resonance imaging
  • Peripheral nerve injury
  • Peripheral nerve sheath tumor
  • Peripheral neuropathy

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