Evidence map›Paper›PMID 40564790›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study.

Saeed Arbabi, Vahid Arbabi, Lorenzo Costa, Iris Ten Katen, Simon C Mastbergen, Peter R Seevinck, Pim A de Jong, Harrie Weinans, Mylène P Jansen, Wouter Foppen

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Saeed ArbabiImage Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Vahid ArbabiDepartment of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0003-3347-2891
Lorenzo CostaImage Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0001-9439-5186
Iris Ten KatenDepartment of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Simon C MastbergenDepartment of Rheumatology & Clinical Immunology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0002-8825-6486
Peter R SeevinckImage Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Pim A de JongDepartment of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0003-4840-6854
Harrie WeinansDepartment of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0002-2275-6170
Mylène P JansenDepartment of Rheumatology & Clinical Immunology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0003-1929-6350
Wouter FoppenDepartment of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0003-4970-8555

Funding

Pfizer LSHM17074
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learningMRItenosynovitis

Identifiers

PMID40564790
PMCPMC12191622

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.