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Record W2610202929 · doi:10.1002/ca.22896

Motion of the anterior cruciate ligament during internal and external rotation at the knee: A cadaveric study

2017· article· en· W2610202929 on OpenAlexaff
Jason Peeler, Judy E. Anderson, S. Piotrowski, Gregory Stranges

Bibliographic record

VenueClinical Anatomy · 2017
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsUniversity of ManitobaPan Am Clinic
Fundersnot available
KeywordsCadaveric spasmMedicineAnterior cruciate ligamentAnterolateral ligamentInternal rotationAnatomyExternal rotationRotation (mathematics)CadaverOrthodonticsAnterior cruciate ligament reconstructionSurgeryComputer vision

Abstract

fetched live from OpenAlex

Despite advances in our understanding of anterior cruciate ligament (ACL) anatomy and function, the change in position of the ACL during tibial rotation is not well understood. The purpose of this study was to quantify and compare the movements of the anteromedial (AM) and posterolateral (PL) bundles of the ACL during 15° of medial and lateral rotation (with & without a shear force). Cadaveric knees (12 male/12 female) were dissected and mounted at 90° of knee flexion. Anthropometric features of the ACL and distal femur were recorded, and each bundle was marked at: femoral attachment (FA), midpoint of ligament (MP), and tibial attachment (TA). Digital images of ACL motion in the frontal plane were taken as the tibia was rotated about a fixed femur. Using digitizing software, the change in position of the markers was quantified. Measurements suggested the ACL pattern of motion was consistent between sexes, regardless of shear force. The greatest amount of movement of both the AM and PM bundles occurred at the TA marker. The FA marker moved more during medial rotation, and the MP and TA markers moved more with lateral rotation. The 20 lb-shear force affected medial rotation most. This study is the first to quantify movement of the ACL during medial and lateral tibial rotation. Data should assist surgeons to select a graft position that is capable of replicating the rotational movement of the native ACL, and help improve three-dimensional stability of the ACL reconstructed knee. Clin. Anat. 30:861-867, 2017. © 2017 Wiley Periodicals, Inc.

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)0.000
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 score0.140
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.022
GPT teacher head0.378
Teacher spread0.356 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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