Evidence map›Paper›PMID 40963983›Full record

ArticleThe Indian journal of radiology & imaging2025

Reliability of Slice-Encoding for Metal Artifact Correction (SEMAC) MRI to Identify Prosthesis Loosening in Patients with Painful Knee Arthroplasty: A Prospective, Single-Center, Surgical Validation Study.

Tsuneari Takahashi, Siddharth Thaker, Giovanni Lettieri, Anthony Redmond, Michael R Backhouse, Martin Stone, Philip J O'Connor, Hemant Pandit

Abstract read
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Article in The Indian journal of radiology & imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Tsuneari TakahashiLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-4198-6684
Siddharth ThakerDepartment of Radiology, Leicester Royal Infirmary, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.ORCID 0000-0002-6144-5551
Giovanni LettieriLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom.
Anthony RedmondLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom.
Michael R BackhouseLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom.
Martin StoneChapel Allerton Hospital, Leeds Teaching Hospital NHS Trust, Leeds, United Kingdom.
Philip J O'ConnorChapel Allerton Hospital, Leeds Teaching Hospital NHS Trust, Leeds, United Kingdom.
Hemant PanditLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To validate reliability of slice-encoding for metal artifact correction (SEMAC) sequences in identifying prosthesis loosening in patients with painful knee arthroplasties (KAs) by comparing SEMAC-magnetic resonance imaging (MRI) findings to surgical outcomes-the gold standard. Materials and Methods: We prospectively followed 44 painful KA patients with possible aseptic prosthesis loosening at our tertiary care institution from 2011 to 2017. Potential cases of infective loosening were excluded making ours a selective study population. We acquired conventional and SEMAC-MRI images for all patients on 1.5-T MRI scanner. Two consultants scored MRI findings for complications such as osteolysis and bone marrow edema systematically. Scoring variations were settled by consensus. We used the Mann-Whitney Results: Eleven patients needed revision surgery-seven had prosthesis loosening and four had retained native compartment osteoarthritis. Thirty-three were treated conservatively, of which 17 had spontaneous pain resolution and 8 had extra-articular causes-referred pain from hip (1 patient) and lumbar (7 patients) degeneration. Eight patients had adequate pain control without prosthesis loosening on follow-up. T1W-SEMAC identified surgically proven prosthesis loosening in all cases and short tau inversion recovery (STIR)-SEMAC diagnosed bone marrow edema (BME) in all our true positive cases. Sensitivity, specificity, positive predictive value, and negative predictive value of SEMAC-MRI for component loosening compared with gold standard were 100, 97.0, 88.9, and 100% in T1W-SEMAC, 75.0, 45.5, 25.0, and 88.2% in STIR-SEMAC, and 75.0, 93.9, 75.0, and 93.9% in proton density-weighted-SEMAC. Conclusion: SEMAC-MRI can accurately detect surgically verifiable prosthesis loosening and differentiate nonspecific BME from prosthesis loosening.

Indexed as

artifact reductionknee arthroplastyMRIrevision surgerySEMAC

Identifiers

PMID40963983
PMCPMC12440586

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