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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.
Chhabra, Avneesh; Duarte Silva, Flavio; Mogharrabi, Bayan; Guirguis, Mina; Ashikyan, Oganes; Rasper, Michael; Park, Eunhae; Walter, Sven S; Umpierrez, Monica; Pezeshk, Parham; Thurlow, Peter C; Jagadale, Akshaya; Bajaj, Gitanjali; Komarraju, Aparna; Wu, Jim S; Aguilera, Antonio; Cardoso, Fabiano Nassar; Souza, Felipe; Chaganti, SubbaRao; Antil, Neha; Manzano, Wilfred; Stebner, Alexander; Evers, Jochen; Petterson, Matthew; Geisbush, Thomas; Downing, Chad; Christensen, Diana; Horneber, Elizabeth; Kim, Jun Man; Purushothaman, Rangarajan; Mohanan, Shilpa; Raichandani, Surbhi; Vilanilam, George; Cabrera, Clementina; Manov, John; Maloney, Sean; Deshmukh, Swati D; Lutz, Amelie M; Fritz, Jan; Andreisek, Gustav; Chalian, Majid; Wong, Philip K; Pandey, Tarun; Subhawong, Ty; Xi, Yin.
Afiliação
  • Chhabra A; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA. avneesh.chhabra@utsouthwestern.edu.
  • Duarte Silva F; Department of Orthopedic Surgery, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA. avneesh.chhabra@utsouthwestern.edu.
  • Mogharrabi B; Johns Hopkins University, Baltimore, MD, USA. avneesh.chhabra@utsouthwestern.edu.
  • Guirguis M; University of Dallas, Richardson, TX, USA. avneesh.chhabra@utsouthwestern.edu.
  • Ashikyan O; Walton Centre for Neuroscience, Liverpool, UK. avneesh.chhabra@utsouthwestern.edu.
  • Rasper M; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
  • Park E; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
  • Walter SS; Transition Year Residency, John Peter Smith Hospital, Fort Worth, USA.
  • Umpierrez M; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
  • Pezeshk P; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
  • Thurlow PC; Institute of Radiology, Cantonal Hospital Münsterlingen, Münsterlingen, Switzerland.
  • Jagadale A; Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York City, NY, USA.
  • Bajaj G; Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
  • Komarraju A; Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York City, NY, USA.
  • Wu JS; Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tübingen, Germany.
  • Aguilera A; Division of Musculoskeletal Radiology, Department of Radiology and Imaging Services, Emory University School of Medicine, Atlanta, GA, USA.
  • Cardoso FN; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, 75390-9178, USA.
  • Souza F; Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Chaganti S; Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Antil N; Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Manzano W; Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Stebner A; Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Evers J; Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Petterson M; Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Geisbush T; Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Downing C; Somerset NHS Foundation Trust, Taunton, Somerset, UK.
  • Christensen D; Department of Radiology, Stanford University, Stanford, CA, USA.
  • Horneber E; Department of Radiology, Stanford University, Stanford, CA, USA.
  • Kim JM; Institute of Radiology, Cantonal Hospital Münsterlingen, Münsterlingen, Switzerland.
  • Purushothaman R; Institute of Radiology, Cantonal Hospital Münsterlingen, Münsterlingen, Switzerland.
  • Mohanan S; Department of Radiology, Stanford University, Stanford, CA, USA.
  • Raichandani S; Department of Radiology, Stanford University, Stanford, CA, USA.
  • Vilanilam G; Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Cabrera C; Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Manov J; Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Maloney S; Division of Musculoskeletal Radiology, Department of Radiology and Imaging Services, Emory University School of Medicine, Atlanta, GA, USA.
  • Deshmukh SD; Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Lutz AM; Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Fritz J; Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Andreisek G; Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Chalian M; Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Wong PK; Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Pandey T; Division of Musculoskeletal Radiology, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Subhawong T; Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Xi Y; Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, New York City, NY, USA.
Eur Radiol ; 2024 Jan 20.
Article em En | MEDLINE | ID: mdl-38244046
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).
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos