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Record W4408976737 · doi:10.1093/jhps/hnaf011.216

EP2.41 Biomechanical Impact of Capsulotomy on Hip Range of Motion following Periacetabular Osteotomy

2025· article· en· W4408976737 on OpenAlexaff
J. Topham, Kelly Johnston

Bibliographic record

VenueJournal of Hip Preservation Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCapsulotomyMedicineRange of motionOrthodonticsOsteotomySurgery

Abstract

fetched live from OpenAlex

Abstract Background: Periacetabular osteotomy (PAO) aims to surgically correct hip dysplasia, restoring hip function by optimizing acetabular coverage. However, changes in acetabular positioning may alter tension forces on capsular ligaments, causing impingements or inappropriate relaxation, creating range of motion (ROM) constraints in addition to the osseous acetabular structure. The effect of capsulotomy in PAO, adapted from hip arthroscopy, and its ability to restore capsular mechanics has not yet been investigated. Purpose: To evaluate how distal iliofemoral ligament (IFL) capsulotomy following PAO influences joint ROM and kinematic stability. Methods: An experimental study, with radiographic markers implanted into medial and lateral arms of the IFL in six cadaveric hip joints was employed. ROM and joint stability were assessed in maximum flexion, external rotation (ER) of 90°, and internal rotation (IR) of 90°. Each hip underwent PAO and was retested, with preservation of capsular ligaments. Following PAO, stepwise capsulotomy was performed, preserving zona orbicularis and labrum. ROM was reassessed, and marker displacement analyzed with preoperative, postoperative, and post-capsulotomy radiographs. Joint stability was verified via hip translation, distraction, and dislocation. Paired sample t-tests compared ROM in experimental settings (CI = 95%). Results: Flexion and ER ROM demonstrated no significant change after PAO (P > 0.05). IR decreased from 16° ± 4.0° preoperatively, to 4° ± 2.5° postoperatively (P = 0.0039); reversed with inverse T-capsulotomy (P = 0.0341). Vertical capsulotomy did not significantly improve mobility planes (P > 0.05). Full H-capsulotomy increased IR (20° ± 3.2°, P = 0.0028), ER (50° ± 3.2°, P = 0.0031), and flexion (111.25° ± 8.3°, P = 0.006), but compromised stability. PAO slackened anterior and tightened inferoposterior structures. Inverted T-capsulotomy inferomedialized and anterosuperiorly translated medial and lateral radiographic markers as capsules de-tensioned. This indirectly improved ligamentous conformations of ischiofemoral and pubofemoral ligaments. Conclusions: Capsular ligament reorientation constrained functional motion in cadaveric specimens. With the balancing of femoral and acetabular anteversion, and positioning to optimize coverage, the hip capsule may be left open or loosely closed after capsulotomy without promoting iatrogenic instability. Inverted T-capsulotomy restored hip ROM, specifically IR, and may present a valuable tool in addressing functional limitations after PAO.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0070.001

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 head0.036
GPT teacher head0.316
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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