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Record W4408976389 · doi:10.1093/jhps/hnaf011.038

FP4.12 Statistical Shape Modelling to Differentiate the Symptomatic and Asymptomatic Hip in Bilateral Cam FAI

2025· article· en· W4408976389 on OpenAlexaff
Miss Cassidy Fu, Aashish Goela, Ryan Degen, Geoffrey Ng

Bibliographic record

VenueJournal of Hip Preservation Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsFowler Kennedy Sport Medicine ClinicLondon Health Sciences CentreRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsAsymptomaticMedicineSurgery

Abstract

fetched live from OpenAlex

Abstract Introduction: Individuals commonly present with bilateral femoroacetabular impingement (FAI) but often only experience unilateral symptoms. This suggests that additional anatomic factors, aside from cam and pincer morphology, may contribute to the presence of symptoms. This study compared the anatomic variations between the symptomatic and asymptomatic hips in bilateral FAI patients using imaging measurements and 3D statistical shape modelling. Methods: Fifty patients with bilateral radiographic FAI, but only symptomatic unilateral FAI (n = 50, m:f = 30:20, age = 25 ± 6 years) were included in this study (IRB #114897). Each patient had plain radiographs along with pre-operative CT scans (SIEMENS Somatom, Germany) to further characterize impingement morphology. The measurements included femoral (femoral neck-shaft angle, medial proximal femoral angle, femoral torsion), acetabular (lateral centre-edge angle, acetabular version) and spinopelvic parameters (pelvic incidence, pelvic tilt, sacral slope). Each patient’s symptomatic and asymptomatic 3D hip models were segmented (Synopsys Simpleware, USA) and statistical shape modelling compared anatomic differences between mean symptomatic and asymptomatic shape models (ShapeWorks 6.4, USA). Results: From imaging measurements, although both symptomatic and asymptomatic sides showed similar femoral cam deformities, femoral torsions, lateral centre-edge angles, and spinopelvic parameters, the symptomatic sides had smaller femoral neck-shaft angles (p = 0.001), medial proximal femoral angles (p = 0.001), and acetabular versions at 1:00 (p = 0.004) than the contralateral asymptomatic sides. From the statistical shape models, the symptomatic group showed a more varus neck and a retroverted acetabulum with slightly increased anterosuperior and decreased posterior acetabular coverage. Additionally, the symptomatic sides’ sacroiliac joint and sacral alar were smaller and anteriorly tilted compared to their contralateral asymptomatic sides. Discussion: The symptomatic hip indicated a more varus neck, retroverted acetabulum, and greater anterior sacral tilt in comparison to the asymptomatic hip. As the cam deformity alone may not be the only indicator for symptoms, characterizing these anatomic relationships through statistical shape modelling can help guide patient-specific diagnosis and treatment strategies for FAI to improve patient outcomes and delay the progression of early hip osteoarthritis.

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)0.000
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 score0.094
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.038
GPT teacher head0.297
Teacher spread0.259 · 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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