Evidence map›Paper›PMID 41767925›Full record

ArticleBiomedical optics express2025

Diode-based photoacoustic imaging for monitoring therapeutic response in rheumatoid arthritis.

Maurice Retout, Lubna Amer, Elizabeth Thompson, William Penny, Brian Pedersen, Jesse Jokerst

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 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
–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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Maurice RetoutAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
Lubna AmerProgram in Materials Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
Elizabeth ThompsonAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
William PennyAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
Brian PedersenAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
Jesse JokerstAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the application of diode-based photoacoustic imaging (PAI) for monitoring treatment responses in patients with rheumatoid arthritis (RA). Diode-based PAI provides a non-invasive and real-time assessment of joint inflammation by visualizing changes in vascularization. We conducted the analysis based on physician-diagnosed RA patients and compared the PAI results between osteoarthritis, psoriatic arthritis, and lupus-induced arthritis. Our findings demonstrate that PAI effectively captures synovitis and vascularity and can discriminate RA from other types of arthritis as well as from healthy subjects, which is of great value for physicians in improving disease management. Moreover, we could demonstrate that PAI can detect early changes of inflammation in RA joints after treatment, correlating with improvements in clinical exams. The study highlights LED-based PAI as a promising tool for enhancing treatment monitoring and personalizing therapeutic approaches in RA management. Further research is recommended to validate these findings across larger populations.

Identifiers

PMID41767925
PMCPMC12945543

What OpenQuestion 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 OpenQuestion graph.