Evidence mapPaperPMID 40815326Full record

ReviewSkeletal radiology2025

Non-FDG PET/CT imaging of inflammatory arthritis.

Rodolfo Núñez, Michael Reso, Daichi Hayashi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Skeletal radiology, 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

3 authors.

Rodolfo NúñezDepartment of Radiology, Tufts Medical Center, Tufts University School of Medicine, 800 Washington St. # 299, Boston, MA, 02111, USA. rnunez1@tuftsmedicalcenter.org.
Michael ResoDepartment of Radiology, Tufts Medical Center, Tufts University School of Medicine, 800 Washington St. # 299, Boston, MA, 02111, USA.
Daichi HayashiDepartment of Radiology, Tufts Medical Center, Tufts University School of Medicine, 800 Washington St. # 299, Boston, MA, 02111, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory arthritis represents a frequent cause of disability among adults, with a huge worldwide negative societal impact. Although clinical and laboratory evaluation of patients with inflammatory arthritis still constitutes the basis of management for these patients, conventional medical imaging has traditionally provided an important aid in the assessment of these conditions. There is a pressing need to obtain an independent, objective, and reproducible imaging evaluation to support the diagnosis of disorders that are difficult to assess or determine response to an increasing number of frequently expensive treatment modalities. This could provide personalized precision medical care, tailored to the specific clinical needs of each patient. Although there has been an early recognition of the potential role that FDG-PET/CT could play in the evaluation of inflammatory or infectious disorders, its clinical introduction has been very slow, in part because approval for reimbursement did not happen until 2021. Nevertheless, there are many publications demonstrating the clinical benefit of PET imaging with FDG and other PET radiopharmaceuticals in the management of these patients. In this narrative review, we will describe the potential applications of non-FDG PET/CT imaging to assess different aspects of the complex inflammatory cascade present in inflammatory arthritis, as well as new technical developments.

Indexed as

ArthritisPositron Emission Tomography Computed TomographyFluorodeoxyglucose F18HumansRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsFuture trendsInflammatory arthritisNarrative reviewNon-FDG PET/CT imagingPET/MRITotal body PET

Identifiers

What Socratic holds

Textmetadata
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.