Evidence map›Paper›PMID 42635963›Full record

ArticleOsteoarthritis imaging2026

Perspective: One and one make three - leveraging the synergy of imaging and biomechanics in osteoarthritis research and care.

Wouter Schallig, Niels B J Dur, Mariska G H Wesseling, Rianne A van der Heijden, Jaap Harlaar, Edwin H G Oei, Erin M Macri

Abstract read
In one paragraph

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.

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. Review
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

7 authors.

Wouter SchalligDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Postbus 2040, 3000 CA Rotterdam, Netherlands. Electronic address: w.schallig@erasmusmc.nl.
Niels B J DurDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Postbus 2040, 3000 CA Rotterdam, Netherlands; Department of Orthopaedics and Sports Medicine Rotterdam, Erasmus MC University Medical Center, Postbus 2040, 3000 CA Rotterdam, Netherlands. Electronic address: n.dur@erasmusmc.nl.
Mariska G H WesselingDepartment of Orthopaedics and Sports Medicine Rotterdam, Erasmus MC University Medical Center, Postbus 2040, 3000 CA Rotterdam, Netherlands. Electronic address: m.wesseling@erasmusmc.nl.
Rianne A van der HeijdenDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Postbus 2040, 3000 CA Rotterdam, Netherlands. Electronic address: r.a.vanderheijden@erasmusmc.nl.
Jaap HarlaarDepartment of Orthopaedics and Sports Medicine Rotterdam, Erasmus MC University Medical Center, Postbus 2040, 3000 CA Rotterdam, Netherlands. Electronic address: j.harlaar@erasmusmc.nl.
Edwin H G OeiDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Postbus 2040, 3000 CA Rotterdam, Netherlands. Electronic address: e.oei@erasmusmc.nl.
Erin M MacriDepartment of Orthopaedics and Sports Medicine Rotterdam, Erasmus MC University Medical Center, Postbus 2040, 3000 CA Rotterdam, Netherlands. Electronic address: e.macri@erasmusmc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BiomechanicsComputational modelingFunctional imagingJoint healthJoint loadingMultimodal assessmentOsteoarthritisPathomechanics

Identifiers

PMID42635963
PMCPMC13590914

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.