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Record W4416207346 · doi:10.1302/1358-992x.2025.13.049

A 4D ULTRASOUND SYSTEM TO DETECT JOINT LAXITY IN BASAL THUMB OSTEOARTHRITIS

2025· article· en· W4416207346 on OpenAlexaff
Randa Mudathir, Matthew M. Hutter, Emily Lalone, Aaron Fenster

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsWestern University
Fundersnot available
KeywordsThumbMagnetic resonance imagingOsteoarthritisIntraclass correlationLigamentBiomechanicsUltrasoundReliability (semiconductor)

Abstract

fetched live from OpenAlex

Hypermobility, or joint laxity, has been hypothesized to be a risk factor for thumb osteoarthritis (OA) [1]. Previous studies assessing thumb biomechanics in thumb OA patients have utilized various imaging modalities including radiography, magnetic resonance imaging, computed tomography imaging, and ultrasound. However, these imaging techniques provide limited information on joint laxity during motion. However, four-dimensional ultrasound (4DUS) can detect joint laxity by visualizing the thumb's stabilizing ligaments during motion. Hence, this work utilizes a novel 4DUS imaging system to characterize the degree of joint laxity associated with varying stages of thumb OA progression. A 4DUS system consisting of a motorized semi-submerged transducer assembly was developed (Figure 1). A high frequency transducer was automatically translated 1-2 centimeters laterally back and forth along the location of the thumb joint. Five healthy volunteers and five thumb osteoarthritis patients were recruited to validate the system's capability to resolve the thumb's dorsoradial ligament during motion. 4D images of thumb abduction were collected from each participant. The images were reviewed by an MSK radiologist to confirm the anatomy of interest. The images were then exported into 3D Slicer, and the dorsoradial ligament was segmented from each 3D volume of the 4D images (Figure 2). Each 4D image contained 10 3D volumes, and the length of the dorsoradial ligament in each volume was calculated along the midline of the ligament. These measurements were repeated multiple times over the course of two weeks to test for intra-rater reliability. Intraclass correlation coefficients were calculated to determine intra-rater reliability and reproducibility. The segmentations of the dorsoradial ligament from the 4DUS scans indicate a change in ligament length throughout thumb abduction in the healthy volunteers and patients. With an intraclass correlation coefficient greater than 0.9, the ligament length measurements indicate excellent repeatability. In this preliminary study, a novel 4DUS system for the assessment of ligament behaviour during thumb motion was developed, and its reliability and reproducibility were tested. This system will be used in a cohort of thumb OA patients to evaluate a) the patterns of ligament laxity associated with various stages of disease progression and b) whether there are sex-differences in ligament laxity. This imaging system will provide a deeper understanding of the morphological changes to the thumb's stabilizing ligaments that influence the onset and progression of thumb OA. This novel 4DUS system may allow clinicians to detect patients’ predisposition to thumb OA and allow for the development of joint protection techniques to target patients with increased joint laxity. For any figures or tables, please contact the authors directly.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.246
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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