Alimenté par : Claudia (ADFI Alsace), Gaëlle (ADFI), Isabelle, Maïlé Onfray
Cet outil s'appuie sur PubMind
Un accÚs direct à la littérature scientifique via la base PubMed permettant de faciliter la veille sur les enjeux complexes de la santé mentale et du fait religieux : de la neuroscience des croyances à l'étude des abus spirituels, en passant par la prise en charge des traumatismes et des processus de déconversion.
DerniĂšre synchronisation le 23/06/2026
BMC Oral Health . 2025;25 (1) :1893
BACKGROUND: This study aimed to investigate the relationship between posterior mandibular ridge morphology, cortical bone characteristics, and the Mandibular Cortical Index (MCI), and to assess their potential impact on the complexity of dental implant placement. Understanding these parameters is essential to optimize implant planning, minimize surgical complications, and improve clinical outcomes, particularly in regions where anatomical variations pose increased risks.METHODS: In this retrospective observational study, 100 cone-beam computed tomography (CBCT) scans of edentulous mandibles were analyzed in Turkish population. Each mandible was evaluated through 10 sagittal cross-Sect. (5 from each side), resulting in 1000 sections. The sample consisted of equal numbers of male and female patients aged between 32 and 79 years. Morphological parameters, including lingual concavity and convexity, bucco-lingual width, cortical bone thickness (buccal and lingual), alveolar crest height, and ridge morphology types, were evaluated in sagittal sections. Ridge shapes were categorized as saddle, kidney, pen shape, toucan beak, straight, hourglass, or basal. The MCI was classified as C1 (normal cortex), C2 (moderate erosion), or C3 (severe erosion) based on cortical integrity. Statistical analyses were conducted to determine the relationships between MCI, ridge morphology, and bone parameters.RESULTS: A statistically significant relationship was observed between MCI groups and ridge morphology types (pâ