title: Characteristics and prediction of the alveolar bone loss: essay of modeling.
abstract: The alveolar bone loss is a phenomenon which intervenes throughout the life and which can be aggravated by the action of individual and behavioural factors. From this observation we shall try to characterize it and to propose formulas of prediction of the alveolar bone loss according to the age of the patient. We shall expose an analysis of factors bound to the alveolar bone loss and propose a modeling of the alveolar bone loss according to the age in an essentially predictive purpose. The methodology is based on the medical exploitation of CT-dentascanners and medical questionnaire as well as administrative questionnaire used in odontology. Measures of the distance ECJ and the summit of crest are made on the radiology and the individual factors and behavioural factors are scored. The descriptive analysis of the data allowed us to characterize the phenomenon of alveolar bone loss in a therapeutic purpose. The statistical treatment of these data will establish various models according to gender. The described method is simple and its applications seem numerous in the several domains: prevention, improvement of prosthetic and periodontal therapeutics.
authors.affiliation: Unité Mixte de Recherche 6578/CNRS-Université de la Méditerranée-EFS, Faculté de Médecine - Secteur Nord CS8001, Marseille, France.
authors.forename: M
authors.initials: M
authors.lastname: Ruquet
authors.forename: J J
authors.initials: JJ
authors.lastname: Bonfil
authors.forename: D
authors.initials: D
authors.lastname: Tardivo
authors.forename: P
authors.initials: P
authors.lastname: Tavitian
authors.forename: J
authors.initials: J
authors.lastname: Sastre
authors.forename: A
authors.initials: A
authors.lastname: Tosello
authors.forename: B
authors.initials: B
authors.lastname: Foti
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D016301:Alveolar Bone Loss / Q000145:classification / Q000000981:diagnostic imaging / Q000209:etiology*; D000539:Alveolar Process / Q000000981:diagnostic imaging; D002318:Cardiovascular Diseases / Q000150:complications; D002508:Cephalometry / Q000379:methods; D004358:Drug Therapy; D004700:Endocrine System Diseases / Q000150:complications; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008593:Menopause / Q000502:physiology; D008875:Middle Aged; D015233:Models, Statistical; D009910:Oral Hygiene; D010512:Periodontal Index; D029424:Pulmonary Disease, Chronic Obstructive / Q000150:complications; D012737:Sex Factors; D012907:Smoking; D011795:Surveys and Questionnaires; D014057:Tomography, X-Ray Computed / Q000379:methods; D019237:Tooth Cervix / Q000000981:diagnostic imaging; D055815:Young Adult