MRI-based Neuropathy Score Reporting And Data System (NS-RADS): multi-institutional wider-experience usability study of peripheral neuropathy conditions among 32 radiology readers.
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Authors
Chhabra, Avneesh
Duarte Silva, Flavio
Mogharrabi, Bayan
Guirguis, Mina
Ashikyan, Oganes
Rasper, Michael
Park, Eunhae
Walter, Sven S
Umpierrez, Monica
Pezeshk, Parham
Issue Date
2024-01-20
Type
Journal Article
Multicenter Study
Multicenter Study
Language
en
Keywords
Entrapment neuropathies , Magnetic resonance imaging , Peripheral nerve injury , Peripheral nerve sheath tumor , Peripheral neuropathy , Wessex Classification Subject Headings::Radiology
Alternative Title
Abstract
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.
Description
Citation
Chhabra A, Duarte Silva F, Mogharrabi B, Guirguis M, Ashikyan O, Rasper M, Park E, Walter SS, Umpierrez M, Pezeshk P, Thurlow PC, Jagadale A, Bajaj G, Komarraju A, Wu JS, Aguilera A, Cardoso FN, Souza F, Chaganti S, Antil N, Manzano W, Stebner A, Evers J, Petterson M, Geisbush T, Downing C, Christensen D, Horneber E, Kim JM, Purushothaman R, Mohanan S, Raichandani S, Vilanilam G, Cabrera C, Manov J, Maloney S, Deshmukh SD, Lutz AM, Fritz J, Andreisek G, Chalian M, Wong PK, Pandey T, Subhawong T, Xi Y. MRI-based Neuropathy Score Reporting And Data System (NS-RADS): multi-institutional wider-experience usability study of peripheral neuropathy conditions among 32 radiology readers. Eur Radiol. 2024 Aug;34(8):5228-5238.
Publisher
License
© 2024. The Author(s), under exclusive licence to European Society of Radiology.
Journal
European radiology
Volume
34
Issue
8
PubMed ID
ISSN
1432-1084