INTERPRETING THE 3D ORIENTATION OF VASCULAR CANALS IN CORTICAL BONE IN BIRDS AND BATS
Notice bibliographique
Résumé
Vascular canals in cortical bone during growth and development typically show an anisotropic pattern with canals falling into three main categories: circumferential, radial, and longitudinal. Two major hypotheses attempt to explain the preferred orientations in bone: that vascular canal orientation is optimized to resist a predominant strain direction from functional loading, or that it reflects growth requirements and velocity. This thesis presents a novel method to measure the three dimensional (3D) orientation of vascular canals. Image data are obtained from micro-CT scans and two angles are measured: phi, determining how longitudinal a canal is; and theta, determining whether a canal is radial or circumferential. This method offers a direct (3D) method for quantifying features of canal orientation and can be applied easily and non-destructively to multiple species and bones. This thesis describes two major studies to examine the orientation of vascular canals in birds and bats, the two extant groups of flying vertebrates. The first study examined the vascular canal network in the humerus and femur of a comparative sample of 31 bird and 24 bat species to look for a connection between canal orientation and functional loading. In addition to canal orientation several cross-sectional geometric parameters and strength indices were measured. The results indicated that the bat cortices are relatively thicker and poorly vascularized, whereas those of birds are thinner and more highly vascularized, and that bird bones have a greater resistance to torsional stress than the bats; in particular, the humerus in birds is more adapted to resist torsional stresses than the femur. Our results show that birds have a significantly higher laminarity index than bats. Counter to expectation, the birds had a significantly higher laminarity index in the femur than in the humerus. We conducted a comparison between our 3D method and an analogue to 2D histological measurements. This comparison revealed that 2D methods significantly underestimate the amount of longitudinal canals by an average of 20% and significantly overestimate the laminarity index by an average of 7.7%, systematically mis-estimating indices of vascular canal orientations. The second study was a controlled growth experiment using broiler chickens to investigate the effect of growth rate on vascular canal orientation. Using feed restriction we set up a fast growing control group and a slow growing restricted group. We found consistent patterns in the comparison between the humerus and the femur in both groups, with the humerus having higher laminar and longitudinal indices and a lower radial index than the femur. The faster growing group had higher radial indices and lower laminar and longitudinal indices in both the humerus and the femur than the restricted group. The higher radial indices in our control group point to a link between radial canals and faster growth, and laminar canals and slower growth, while the higher laminar indices in the humerus contradict the results of the first study and point to a link between circumferential canals and torsional loading. We believe this difference is due to differences in femoral loading between chickens and other birds. Overall our results indicate that the orientation of the cortical canal network in a bone is the consequence of a complex interaction between that bone’s growth rate and functional loading environment.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».