Evidence map›Paper›PMID 41851755›Full record

SynthesisBMC rheumatology2026

Assessing disease activity in inflammatory arthritis using optical spectral transmission: a systematic review compared to joint ultrasound, MRI, and clinical activity markers.

Ann-Kathrin Druck, Chandana Keshavamurthy, Mohammed Alhaddad, Andreas V Goules, Andreas Schwarting, Konstantinos Triantafyllias

Abstract readSystematic Review
In one paragraph

Synthesis in BMC rheumatology, 2026. 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

6 authors.

Ann-Kathrin DruckDivision of Rheumatology and Clinical Immunology, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany. andruck@students.uni-mainz.de.
Chandana KeshavamurthyDepartment of Rheumatology, Banner University Medical Center, University of Arizona, Phoenix, 85284, USA.
Mohammed AlhaddadDivision of Rheumatology and Clinical Immunology, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
Andreas V GoulesDepartment of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Andreas SchwartingDivision of Rheumatology and Clinical Immunology, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
Konstantinos TriantafylliasDivision of Rheumatology and Clinical Immunology, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly and accurate detection of inflammatory activity is essential in inflammatory arthropathies, as timely treatment can prevent irreversible joint damage. Optical spectral transmission (OST), implemented in the HandScan device, is a novel, non-invasive imaging method that uses red and near-infrared light to detect perfusion changes associated with angiogenesis and hypervascularity in inflamed joints. This review summarizes current evidence on OST, assessing its diagnostic performance and clinical utility relative to musculoskeletal ultrasound, magnetic resonance imaging, and conventional clinical activity indices.

methodsThis review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant studies were identified through systematic searches of the Web of Science and PubMed databases, with the last search conducted on October 7, 2025, according to predefined inclusion criteria. Publications from 2012 to 2025 were considered eligible. Studies enrolling patients with rheumatic diseases were included, and data were extracted on study population characteristics, methodologies, and main findings.

resultsOut of 77 studies screened, 22 met the inclusion criteria. Cross-sectional studies showed significant correlations between OST and ultrasound findings, with areas under the curve (AUC) reaching as high as 0.85. This correlation was particularly strong in the metacarpophalangeal and proximal interphalangeal joints. Additionally, OST correlated with MRI-detected synovitis and tenosynovitis but not with bone marrow edema. Moderate associations were observed between OST and clinical indicators such as DAS28, swollen joint counts, and C-reactive protein levels. Longitudinal analyses revealed significant associations between changes in OST values and changes in clinical activity indices, specifically ΔDAS28, and ΔSJC. However, it was found that absolute OST scores alone were inadequate for distinguishing between different levels of disease activity. Factors such as sex, body mass index, and structural joint damage were identified as confounding variables that influenced the measurements.

conclusionOST is a promising, rapid, and operator-independent technique for quantifying joint inflammation in rheumatoid arthritis. Although further evaluation of its stand-alone diagnostic accuracy is needed, its integration with clinical assessment and imaging may enhance the objectivity and efficiency of disease monitoring. Standardized measurement protocols and patient-adjusted thresholds will be essential for broader clinical implementation.

Indexed as

HandscanInflammatory arthritisJoint inflammationJoint ultrasoundOptical spectral transmissionRheumatoid arthritis

Identifiers

PMID41851755
PMCPMC13063693

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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.