Literature DB >> 32937252

Diagnostic accuracy of MRI with metal artifact reduction for the detection of periprosthetic joint infection and aseptic loosening of total hip arthroplasty.

Benedikt J Schwaiger1, Florian T Gassert2, Christian Suren3, Alexandra S Gersing4, Bernhard Haller5, Daniela Pfeiffer4, Julia Dangelmaier-Dawirs6, Ferdinand Roski4, Rüdiger von Eisenhart-Rothe3, Peter M Prodinger7, Klaus Woertler4.   

Abstract

PURPOSE: To evaluate imaging characteristics obtained from magnetic resonance imaging (MRI) with metal artifact reduction (MAR) to differentiate between periprosthetic joint infection (PJI), aseptic loosening and cases without these pathologies after total hip arthroplasty (THA).
METHODS: Patients with THA (n = 41; mean age 66.4 ± 9.6 years; 25 women) undergoing 1.5 T MRI with high-bandwidth sequences and view angle tilting followed by revision surgery within 3 months were identified retrospectively. Imaging findings at the metal-bone interface, in the surrounding bone, the soft tissues and lymphadenopathy were assessed by three radiologists in a standardized fashion. Based on clinical and intraoperative findings, patients were categorized in groups with PJI (n = 15), aseptic loosening (n = 15) or without these pathologies (n = 11). Imaging findings were assessed in crosstabs, receiver-operating characteristics and classification and regression trees.
RESULTS: Findings at the acetabular cup were specific for the presence of either PJI or aseptic loosening (specificity>0.765 for all), while findings at the stem were sensitive (sensitivity>0.824 for all except periostitis). To differentiate PJI versus aseptic loosening, soft tissue edema (sensitivity, 0.867/specificity>0.733), abnormalities at both, acetabular and femoral components (0.667/0.933-1.000) and enlarged lymph nodes (0.800/0.867) were accurate.
CONCLUSION: Standardized assessment of MR imaging findings in THA patients facilitated the differentiation of PJI and aseptic loosening. This information can be helpful for therapy planning.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  MARS; arthroplasty; artifacts; aseptic loosening; hip; magnetic resonance imaging; prosthesis-related infections

Year:  2020        PMID: 32937252     DOI: 10.1016/j.ejrad.2020.109253

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  4 in total

1.  Diagnostic algorithm in septic total knee arthroplasty failure - What is evidence-based?

Authors:  Christian Suren; Igor Lazic; Maximilian Stephan; Florian Walter Lenze; Florian Pohlig; Rüdiger von Eisenhart-Rothe
Journal:  J Orthop       Date:  2021-01-28

2.  Use of Novel Strategies to Develop Guidelines for Management of Pyogenic Osteomyelitis in Adults: A WikiGuidelines Group Consensus Statement.

Authors:  Brad Spellberg; Gloria Aggrey; Meghan B Brennan; Brent Footer; Graeme Forrest; Fergus Hamilton; Emi Minejima; Jessica Moore; Jaimo Ahn; Michael Angarone; Robert M Centor; Kartikeya Cherabuddi; Jennifer Curran; Kusha Davar; Joshua Davis; Mei Qin Dong; Bassam Ghanem; Doug Hutcheon; Philipp Jent; Minji Kang; Rachael Lee; Emily G McDonald; Andrew M Morris; Rebecca Reece; Ilan S Schwartz; Miranda So; Steven Tong; Christopher Tucker; Noah Wald-Dickler; Erica J Weinstein; Riley Williams; Christina Yen; Shiwei Zhou; Todd C Lee
Journal:  JAMA Netw Open       Date:  2022-05-02

3.  Metal Artefact Reduction Sequences (MARS) in Magnetic Resonance Imaging (MRI) after Total Hip Arthroplasty (THA) : A non-invasive approach for preoperative differentiation between periprosthetic joint infection (PJI) and aseptic complications?

Authors:  André Busch; Marcus Jäger; Sascha Beck; Alexander Wegner; Erik Portegys; Dennis Wassenaar; Jens Theysohn; Johannes Haubold
Journal:  BMC Musculoskelet Disord       Date:  2022-06-28       Impact factor: 2.562

Review 4.  Imaging in Hip Arthroplasty Management Part 2: Postoperative Diagnostic Imaging Strategy.

Authors:  Charles Lombard; Pierre Gillet; Edouard Germain; Fatma Boubaker; Alain Blum; Pedro Augusto Gondim Teixeira; Romain Gillet
Journal:  J Clin Med       Date:  2022-07-29       Impact factor: 4.964

  4 in total

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