TY - JOUR
T1 - MRI-based Neuropathy Score Reporting And Data System (NS-RADS)
T2 - multi-institutional wider-experience usability study of peripheral neuropathy conditions among 32 radiology readers
AU - Chhabra, Avneesh
AU - Duarte Silva, Flavio
AU - Mogharrabi, Bayan
AU - Guirguis, Mina
AU - Ashikyan, Oganes
AU - Rasper, Michael
AU - Park, Eunhae
AU - Walter, Sven S.
AU - Umpierrez, Monica
AU - Pezeshk, Parham
AU - Thurlow, Peter C.
AU - Jagadale, Akshaya
AU - Bajaj, Gitanjali
AU - Komarraju, Aparna
AU - Wu, Jim S.
AU - Aguilera, Antonio
AU - Cardoso, Fabiano Nassar
AU - Souza, Felipe
AU - Chaganti, Subba Rao
AU - Antil, Neha
AU - Manzano, Wilfred
AU - Stebner, Alexander
AU - Evers, Jochen
AU - Petterson, Matthew
AU - Geisbush, Thomas
AU - Downing, Chad
AU - Christensen, Diana
AU - Horneber, Elizabeth
AU - Kim, Jun Man
AU - Purushothaman, Rangarajan
AU - Mohanan, Shilpa
AU - Raichandani, Surbhi
AU - Vilanilam, George
AU - Cabrera, Clementina
AU - Manov, John
AU - Maloney, Sean
AU - Deshmukh, Swati D.
AU - Lutz, Amelie M.
AU - Fritz, Jan
AU - Andreisek, Gustav
AU - Chalian, Majid
AU - Wong, Philip K.
AU - Pandey, Tarun
AU - Subhawong, Ty
AU - Xi, Yin
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to European Society of Radiology 2024.
PY - 2024/8
Y1 - 2024/8
N2 - 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).
AB - 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).
KW - Entrapment neuropathies
KW - Magnetic resonance imaging
KW - Peripheral nerve injury
KW - Peripheral nerve sheath tumor
KW - Peripheral neuropathy
UR - https://www.scopus.com/pages/publications/85182715080
U2 - 10.1007/s00330-023-10517-2
DO - 10.1007/s00330-023-10517-2
M3 - Journal article
C2 - 38244046
AN - SCOPUS:85182715080
SN - 0938-7994
VL - 34
SP - 5228
EP - 5238
JO - European Radiology
JF - European Radiology
IS - 8
ER -