CLINICAL AND RADIOLOGICAL CHARACTERISTICS OF THE DENTAL AND JAW SYSTEM STATE IN PERSONS WITH LOW MINERAL DENSITY BONE TISSUE
Notice bibliographique
Résumé
Introduction. Despite the fact that the process of osseointegration has been studied for many years, a number of issues concerning the specifics of dental implantation in the case of osteopathies of various genesis, ensuring good primary stability of the implant, further forecasting of dental implantation and prevention of postoperative complications remain unresolved. The purpose. To study the state of bone tissue in people with defects of dentition against the background of osteopathy Materials and methods. 148 patients with dentition defects of young and middle age were examined. All patients underwent densitometric studies of bone tissue to determine its mineral density. For the qualitative characterization of the cortical layer of the lower jaw, the mandibular-cortical index according to Klemetti E. and co-authors was used. The optical density of the bone tissue of the jaws was measured using Image Q software, developed in 2007 by the National Institutes of Health (Canada), which allows the analysis of any selected area of the jawbone in conventional brightness units (units of brightness) in gradations of gray: from 0 to 256. Results. According to the mandibular-cortical index, a domination of C2 bone tissue type was found in men vs. women (55.41 vs. 32.43%). At the same time, in women with osteopenia, the C3 bone tissue type was diagnosed in 60.81% compared to 33.78% of men with osteopenia. However, the results of the study established that in men aged 18–44, the average values of the optical density of bone tissue probably did not differ from those in the comparison group (p>0.05) and at the same time, they were significantly lower: by 18.35% – in men of the older age group (р<0.05) and by 29.12% – among women of the older age group (р<0.001). Still, the optical density of bone tissue was characterized by lower values in women vs. men with osteopenia, and it tended to decrease with increasing age of the subjects, regardless of gender. Conclusions. The conducted studies made it possible to conclude that the optical density of the bone tissue of the jaws in patients with osteopenia decreased with increasing age of the patients, but women had the lowest values in both age groups.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».