Literature DB >> 12368643

Impact of MRI on treatment plan and fracture classification of tibial plateau fractures.

Stephan V Yacoubian1, Russell T Nevins, Julian G Sallis, Hollis G Potter, Dean G Lorich.   

Abstract

OBJECTIVE: To evaluate the interobserver agreement for both treatment plan and fracture classification of tibial plateau fractures using plain radiographs, computed tomography (CT) scan, and magnetic resonance imaging (MRI).
DESIGN: Prospective study to assess the impact of an advanced radiographic study on the agreement of treatment plan and fracture classification of tibial plateau fractures among three orthopaedic surgeons. SETTING/PARTICIPANTS: Patients presenting with tibial plateau fractures to a level I trauma center were evaluated with plain knee radiographs (anteroposterior, lateral, two oblique views), CT scan, and MRI. Three experienced attending orthopaedic trauma surgeons were randomly presented three sets of studies for each injury: radiographs alone, radiographs with CT, and radiographs with MRI (including soft tissue injuries documented by an experienced MRI radiologist). The surgeons were asked to render fracture classification and treatment plan based upon the blind reading of each individual radiographic set. MAIN OUTCOME MEASURES: Agreement among the three surgeons was measured using kappa coefficients.
RESULTS: For fracture classification, radiographs alone yielded a mean kappa coefficient of 0.68, which increased to 0.73 for radiographs with CT scan and 0.85 for radiographs with MRI. Fracture classification (Schatzker) was changed an average of 6% with the addition of the CT scan and 21% based on radiographs with MRI. For the fracture management plan, the mean interobserver kappa coefficient for radiographs alone was 0.72, which increased to 0.77 for radiographs with CT scan and 0.86 for radiographs with MRI. MRI changed treatment plan in 23% of the cases.
CONCLUSION: Magnetic resonance imaging increases the interobserver agreement on fracture classification and operative management of tibial plateau fractures.

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Mesh:

Year:  2002        PMID: 12368643     DOI: 10.1097/00005131-200210000-00004

Source DB:  PubMed          Journal:  J Orthop Trauma        ISSN: 0890-5339            Impact factor:   2.512


  23 in total

1.  Classifications in brief: Schatzker classification of tibial plateau fractures.

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2.  Epidemiological study on tibial plateau fractures at a level I trauma center.

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3.  Three-column classification and Schatzker classification: a three- and two-dimensional computed tomography characterisation and analysis of tibial plateau fractures.

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4.  [Tibial head fractures in the elderly].

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5.  Case-control study to estimate the performance of dual-energy computed tomography for anterior cruciate ligament tears in patients with history of knee trauma.

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Review 6.  A review of the management of tibial plateau fractures.

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7.  Comparison of CT and MRI in patients with tibial plateau fracture: can CT findings predict ligament tear or meniscal injury?

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Journal:  Skeletal Radiol       Date:  2006-11-30       Impact factor: 2.199

8.  The degree of articular depression as a predictor of soft-tissue injuries in tibial plateau fracture.

Authors:  Alexander S Spiro; Marc Regier; Alexander Novo de Oliveira; Eik Vettorazzi; Michael Hoffmann; Jan Philipp Petersen; Frank Oliver Henes; Thomas Demuth; Johannes M Rueger; Wolfgang Lehmann
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-09-11       Impact factor: 4.342

9.  Tibial tubercle fractures in children with intra-articular involvement: surgical tips for technical ease.

Authors:  William R Howarth; Hilton P Gottschalk; Harish S Hosalkar
Journal:  J Child Orthop       Date:  2011-10-21       Impact factor: 1.548

10.  Measurement of lateral plateau depression and lateral plateau widening in a Schatzker type II fracture can predict a lateral meniscal injury.

Authors:  Mehmet Oguz Durakbasa; Ozkan Kose; Mehmet Nurullah Ermis; Abdullah Demirtas; Serdar Gunday; Cihangir Islam
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-09-06       Impact factor: 4.342

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