ArticleOsteoarthritis imaging2026
Perspective: One and one make three - leveraging the synergy of imaging and biomechanics in osteoarthritis research and care.
Article in Osteoarthritis imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The 18th international workshop on osteoarthritis imaging. Structure and pain: Where are we today?Osteoarthritis imaging · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanical stress on joint tissues is a central driver of osteoarthritis (OA), yet our understanding of OA pathomechanics remains incomplete, obstructing etiology-driven personalized treatments. Current joint assessment approaches are largely monodisciplinary. In this perspective we aim to advocate for the integration of imaging and biomechanics to assess joint function in OA research, by exploring their relative strengths and limitations and their potential synergy, towards advancing our understanding of pathomechanics in OA. Traditional structural imaging is often static and non-weightbearing, limiting its ability to elucidate pathomechanical pathways of OA. Meanwhile, biomechanical measurement approaches like motion capture are able to measure human movement during dynamic, weightbearing, and functional activities like walking or squatting, but their accuracy and precision is limited by soft tissue artefacts and modeling assumptions and constraints. We argue for the deliberate integration of imaging and biomechanics modalities to overcome their respective limitations towards a comprehensive understanding of the role of pathomechanics in OA. This can done, for example, via videoradiography-based motion analysis and personalized computational models that use additional imaging outputs from radiographs, CT or MRI. Achieving this vision of integrated multimodal analysis requires coordinated, transdisciplinary collaboration and shared resources to move beyond single-modality paradigms toward an integrated framework for pathomechanical joint health assessment, which subsequently can be used to better understand the complex relationships between mechanics, structure and biology within OA. Studies adopting this integrated approach are limited, yet emerging examples showcase the potential for advancing the field of OA research and, eventually, personalized care.
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Registered trials
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.