Evidence map›Paper›PMID 38233192›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2025

Evaluating Hip Periprosthetic Joint Infection with Metal-artifact-reduction MR Imaging.

Tsutomu Inaoka, Masayuki Sugeta, Tomoya Nakatsuka, Shusuke Kasuya, Rumiko Ishikawa, Yoshiya Sugiura, Arata Nakajima, Koichi Nakagawa, Akinori Yamamoto, Hitoshi Terada

Open access · diamondAbstract read
In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Tsutomu InaokaDepartment of Radiology, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Masayuki SugetaDepartment of Radiology, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Tomoya NakatsukaDepartment of Radiology, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Shusuke KasuyaDepartment of Radiology, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Rumiko IshikawaDepartment of Radiology, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Yoshiya SugiuraDepartment of Diagnostic Pathology, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Arata NakajimaDepartment of Orthopaedic Surgery, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Koichi NakagawaDepartment of Orthopaedic Surgery, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Akinori YamamotoDivision of Radiology, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Hitoshi TeradaDepartment of Radiology, Toho University Sakura Medical Center, Sakura, Chiba, Japan.
Toho University · JPToho University Medical Center Sakura Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the significant findings of hip periprosthetic joint infection (PJI) using metal-artifact-reduction (MAR) MRI and to compare the MRI results to other clinical markers.

methodsThe results of MRI, including two-dimensional fast-spin echo sequences with increased bandwidth and multi-acquisition variable-resonance image combination selective for hips with orthopedic implants at 1.5T (from April 2014 to November 2021), were retrospectively assessed for imaging findings and diagnostic impressions by two radiologists. Clinical data and courses were also investigated. Univariate and multivariate analyses were performed to identify the significant MRI findings in patients with hip PJI and those who underwent surgical intervention. The MRI impressions were compared with other clinical markers in diagnosing hip PJI.

resultsThirty-seven hip joints in 24 Asian patients (age = 73.9 ± 10.8 years; 18 females) were included. Twelve hip joints (32%) had PJI; seven underwent a surgical intervention. The significant findings for hip PJI included periosteal edema of the acetabulum, intermuscular edema, intramuscular fluid collection, and lymphadenopathy (P < 0.05). In the cases with surgical intervention, the significant findings included capsular distension, capsular thickening, an osteolysis-like pattern of the femur, subcutaneous fluid collection, and lymphadenopathy (P < 0.05). The MRI impressions had high diagnostic significance for both hip PJI cases and those with surgical intervention (P < 0.001). The MRI impression was more significant for hip PJI than the other clinical markers (P < 0.05), while the other clinical markers were more significant in the cases with surgical intervention (P < 0.05).

conclusionThe significant findings in the hip PJI cases included acetabular periosteal edema, intermuscular edema, intramuscular fluid collection, and lymphadenopathy. The significant findings in the cases with surgical intervention included capsular distention, capsular thickening, a femoral osteolysis-like pattern, subcutaneous fluid collection, and lymphadenopathy. The utilization of MAR MRI demonstrated great diagnostic significance for hip PJI.

Indexed as

ArtifactsHip JointMagnetic Resonance ImagingMetalsProsthesis-Related InfectionsAgedAged, 80 and overArthroplasty, Replacement, HipFemaleHip ProsthesisHumansMaleMiddle AgedRetrospective StudiesMetalshipmetal-artifact-reductionMRImulti-acquisition variable-resonance image combination selectiveperiprosthetic joint infection

Identifiers

PMID38233192
PMCPMC11733511
OpenAlexW4390871257

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.