THE STABILIZING EFFECT OF POSTERIOR FIXATIONS IN A DESTABILIZED ATLANTOAXIAL COMPLEX MODEL IN CANINES
Bibliographic record
Abstract
Purpose: This study was conducted to evaluate the kinematic responses and the restorative effectiveness of three posterior fixations in a canine atlantoaxial ( C1-2) complex model. Methods: Nine canine ligamentous C1-2complexes were non-destructively tested in an intact condition, after ligamentous destabilization, and after bilateral stabilization with each of three posterior fixation methods: (1) Halifax inter-laminar clamps; (2) sub-laminar wiring; and (3) individual fixation of the C1lateral mass and the C2pedicle with screws and plates. Specimens were subjected to a relevantly applied loads through a loading frame rigidly attached to the C1. Two sets of three markers was separately attached to the mounting jigs of the C1and the C2to record the spatial locations after each loading step with a Vicron 370 system. The load-deformation data were analyzed. Results: Under a realistic loading paradigm, destabilized canine C1-2complex had 3-dimensional motion ranges highly consistent with the corresponding values observed in destabilized cadaveric human C1-2complex following a non-destructive loading paradigm. All the three posterior fixations significantly restricted the motion range of axial rotation loads (P<0.05). However, fixation either with posterior inter-articular screws and plates or inter-laminar clamps also effectively restricted the motion ranges of flexion/extension and lateral bending loads, whereas posterior wiring did not. Conclusion: We described a destabilized canine C1-2complex model. Under a realistic loading paradigm, the model had kinematic analogue of destabilized human C1-2complex. Our results indicated that posterior stabilization using inter-articular fixation techniques or inter-laminar clamps could effectively restrict hypermotility caused by C1-2ligamentous destabilization, and, therefore, appeared to be reliable fixation methods. In contrast, posterior wiring alone would preserve more residual motions, and, thus, might need other adjunctive fixations to offer an optimal condition for solid bony fusion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".