Evidence map›Paper›PMID 40341887›Full record

ReviewKorean journal of radiology2025

Imaging of Peripheral Arthritis: Special Focus on Differences in Inflammatory Lesions Between Rheumatoid Arthritis and Psoriatic Arthritis.

Takeshi Fukuda, Akira Ogihara, Shunsuke Kisaki, Mami Momose, Yoshinori Umezawa, Akihiko Asahina, Hiroya Ojiri

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Korean journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Takeshi FukudaDepartment of Radiology, The Jikei University School of Medicine, Tokyo, Japan. takenet616@gmail.com.ORCID https://orcid.org/0000-0001-7196-1413
Akira OgiharaDepartment of Radiology, The Jikei University School of Medicine, Tokyo, Japan.
Shunsuke KisakiDepartment of Radiology, The Jikei University School of Medicine, Tokyo, Japan.
Mami MomoseDepartment of Dermatology, The Jikei University School of Medicine, Tokyo, Japan.
Yoshinori UmezawaDepartment of Dermatology, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9517-4374
Akihiko AsahinaDepartment of Dermatology, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6127-3182
Hiroya OjiriDepartment of Radiology, The Jikei University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiating rheumatoid arthritis (RA) and psoriatic arthritis (PsA) remains challenging, particularly when clinical and serological markers are inconclusive. Imaging provides critical insights, with MRI and dual-energy CT iodine maps highlighting key distinctions. Both conditions share inflammatory features such as capsular synovitis, tenosynovitis, and bone marrow edema. However, periarticular inflammation is often a strong indicator of PsA. This reflects their differing inflammatory targets: RA primarily involves the synovium, whereas PsA targets the enthesis. This distinction contributes to the broader bone marrow edema seen in PsA and explains inflammatory changes at the distal interphalangeal joint and dactylitis, which are characteristic of PsA but not RA. Recognizing these inflammatory patterns and distributions is essential for accurate diagnosis and treatment guidance.

Indexed as

Arthritis, PsoriaticArthritis, RheumatoidDiagnosis, DifferentialEdemaHumansMagnetic Resonance ImagingSynovitisTomography, X-Ray ComputedEnthesitisInflammatory arthritisPsoriatic arthritisRheumatoid arthritisSynovitis

Identifiers

PMID40341887
PMCPMC12123072

What OpenQuestion holds

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LicenceCC BY-NC
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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.