Literature DB >> 30976835

Detection of aseptic loosening in total knee replacements: a systematic review and meta-analysis.

Lara Barnsley1, Les Barnsley2,3.   

Abstract

OBJECTIVE: The aim of this study was to compare the diagnostic accuracy of nuclear imaging modalities in the detection of aseptic loosening of total knee arthroplasty (TKA).
MATERIALS AND METHODS: MEDLINE, EMBASE, and the Cochrane Database of Systematic Reviews were searched from database inception to December 2018 in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Included studies compared the results of a single imaging modality against an appropriate reference standard of prosthetic TKA loosening, with sufficient information to determine either sensitivity and/or specificity. The methodological quality of the studies was assessed using the QUADAS-2 tool.
RESULTS: The search strategy identified 572 abstracts. Of these, 12 studies comprising 401 patients across four modalities (bone scintigraphy, 18F-FDG-PET, SPECT/CT arthrogram, radionuclide arthrogram) met the inclusion criteria. All included studies used operative findings, a period of clinical or radiographic observation or both as a reference standard for aseptic loosening. Sixteen comparisons with the reference standards were extracted. All studies were at risk of bias across patient selection, the index test, reference standard, and flow and timing of patients. The most accurate test for diagnosis of aseptic loosening in TKA was SPECT/CT arthrography demonstrated by the summary receiver operating characteristic curve.
CONCLUSIONS: The best available evidence suggests the most accurate modality for the detection of aseptic loosening in TKA is SPECT/CT arthrography. However, the available evidence has a high risk of bias, and total number of patients studied for each modality is small so further studies are warranted.

Entities:  

Keywords:  Meta-analysis; Nuclear medicine; Prosthesis loosening; Sensitivity; Specificity; Total knee arthroplasty

Mesh:

Year:  2019        PMID: 30976835     DOI: 10.1007/s00256-019-03215-y

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  8 in total

1.  A novel image-based machine learning model with superior accuracy and predictability for knee arthroplasty loosening detection and clinical decision making.

Authors:  Lawrence Chun Man Lau; Elvis Chun Sing Chui; Gene Chi Wai Man; Ye Xin; Kevin Ki Wai Ho; Kyle Ka Kwan Mak; Michael Tim Yun Ong; Sheung Wai Law; Wing Hoi Cheung; Patrick Shu Hang Yung
Journal:  J Orthop Translat       Date:  2022-10-06       Impact factor: 4.889

2.  Diagnostic algorithm in aseptic TKA failure - What is evidence-based?

Authors:  E Röhner; M Heinecke; G Matziolis
Journal:  J Orthop       Date:  2021-03-21

3.  Reasons for failure in primary total knee arthroplasty - An analysis of prospectively collected registry data.

Authors:  Dominic T Mathis; Leif Lohrer; Felix Amsler; Michael T Hirschmann
Journal:  J Orthop       Date:  2020-12-31

4.  Why do knees after total knee arthroplasty fail in different parts of the world?

Authors:  Dominic T Mathis; Michael T Hirschmann
Journal:  J Orthop       Date:  2020-12-31

5.  High rate of tibial debonding and failure in a popular knee replacement : a follow-up review.

Authors:  David Keohane; Gerard A Sheridan; Eric Masterson
Journal:  Bone Jt Open       Date:  2022-06

Review 6.  Osteoimmunomodulation role of exosomes derived from immune cells on osseointegration.

Authors:  Yunchao Xiao; Yanshu Ding; Jingwen Zhuang; Ruoyue Sun; Hui Sun; Long Bai
Journal:  Front Bioeng Biotechnol       Date:  2022-08-19

Review 7.  Biomaterials-Driven Sterile Inflammation.

Authors:  Henry Chen; Devendra K Agrawal; Finosh G Thankam
Journal:  Tissue Eng Part B Rev       Date:  2021-02-23       Impact factor: 6.389

8.  Accuracy comparison of various quantitative [99mTc]Tc-DPD SPECT/CT reconstruction techniques in patients with symptomatic hip and knee joint prostheses.

Authors:  Damian Wild; Martin Kretzschmar; Martin Braun; Michal Cachovan; Felix Kaul; Federico Caobelli; Markus Bäumer; A Hans Vija; Geert Pagenstert
Journal:  EJNMMI Res       Date:  2021-06-14       Impact factor: 3.138

  8 in total

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