Radiographic prediction of lunate morphology in Asians using plain radiographic and capitate-triquetrum distance analyses: reliability and compatibility with magnetic resonance arthrography (MRA) findings.


Journal

BMC musculoskeletal disorders
ISSN: 1471-2474
Titre abrégé: BMC Musculoskelet Disord
Pays: England
ID NLM: 100968565

Informations de publication

Date de publication:
27 Mar 2019
Historique:
received: 26 10 2018
accepted: 26 02 2019
entrez: 29 3 2019
pubmed: 29 3 2019
medline: 10 8 2019
Statut: epublish

Résumé

The purpose of this study was to examine the reliability of plain radiographic methods of determining the lunate type and its compatibility with magnetic resonance arthrography (MRA) findings. Plain radiographs of a total of 150 wrists were reviewed by three observers. Lunate types were evaluated using both conventional posteroanterior (PA) radiographic analysis and the capitate-triquetrum distance (CTD) analysis. Cohen kappa and Fleiss kappa statistics were used to estimate intra- and inter-observer reliabilities. Compatibility with the MRA findings, as assessed by each observer, was investigated. The overall intra-observer reliability was 0.517 for the analysis and 0.589 for the CTD analysis. The overall inter-observer agreement was 0.448 for the PA radiographic analysis and 0.581 for the CTD analysis. The PA radiographic analysis and MRA findings for the detection of medial lunate facets were compatible in 119 of the 150 patients (79.3%). Twenty-eight (90.3%) of the 31 incompatible wrists had a medial facet on MRA (Type II), which was not detected in the PA radiographic analysis. In the CTD analysis, the results for 27 of 29 Type II lunates (93.1%) and 39 of 45 Type I lunates (86.7%) were compatible with the MRA. This study suggests that predicting the lunate type by plain radiographs alone is insufficient, as both radiographic analyses showed moderate intra- and inter-observer reliabilities. Although both radiographic analyses showed good compatibility with the MRA for Type II lunates, clinicians should be alert to undetected medial facets in Type I lunates on PA radiographic analysis.

Sections du résumé

BACKGROUND BACKGROUND
The purpose of this study was to examine the reliability of plain radiographic methods of determining the lunate type and its compatibility with magnetic resonance arthrography (MRA) findings.
METHODS METHODS
Plain radiographs of a total of 150 wrists were reviewed by three observers. Lunate types were evaluated using both conventional posteroanterior (PA) radiographic analysis and the capitate-triquetrum distance (CTD) analysis. Cohen kappa and Fleiss kappa statistics were used to estimate intra- and inter-observer reliabilities. Compatibility with the MRA findings, as assessed by each observer, was investigated.
RESULTS RESULTS
The overall intra-observer reliability was 0.517 for the analysis and 0.589 for the CTD analysis. The overall inter-observer agreement was 0.448 for the PA radiographic analysis and 0.581 for the CTD analysis. The PA radiographic analysis and MRA findings for the detection of medial lunate facets were compatible in 119 of the 150 patients (79.3%). Twenty-eight (90.3%) of the 31 incompatible wrists had a medial facet on MRA (Type II), which was not detected in the PA radiographic analysis. In the CTD analysis, the results for 27 of 29 Type II lunates (93.1%) and 39 of 45 Type I lunates (86.7%) were compatible with the MRA.
CONCLUSIONS CONCLUSIONS
This study suggests that predicting the lunate type by plain radiographs alone is insufficient, as both radiographic analyses showed moderate intra- and inter-observer reliabilities. Although both radiographic analyses showed good compatibility with the MRA for Type II lunates, clinicians should be alert to undetected medial facets in Type I lunates on PA radiographic analysis.

Identifiants

pubmed: 30917814
doi: 10.1186/s12891-019-2483-6
pii: 10.1186/s12891-019-2483-6
pmc: PMC6437918
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Pagination

128

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Auteurs

Ji Hun Park (JH)

Department of Orthopaedic Surgery, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.

Tae Wook Kang (TW)

Department of Orthopaedic Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Sungbuk-gu, Seoul, 06334, South Korea.

Jimi Choi (J)

Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea.

Seul Gi Kim (SG)

Department of Orthopaedic Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Sungbuk-gu, Seoul, 06334, South Korea.

Kyung-Sik Ahn (KS)

Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea.

Jong Woong Park (JW)

Department of Orthopaedic Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Sungbuk-gu, Seoul, 06334, South Korea. ospark@korea.ac.kr.

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Classifications MeSH