3D-computed tomography assessment reveals a negative correlation between donor-site iliac cancellous bone density and bone density at the recipient site in secondary alveolar bone grafting - 05/06/26
Abstract |
Background |
Autologous iliac bone grafting is the gold standard for secondary alveolar bone grafting (SABG) in alveolar cleft patients. While multiple factors affect osteogenesis, the influence of donor-site bone density (BD) on outcomes remains poorly characterized.
Methods: In this retrospective, exploratory pilot study, 20 patients with unilateral alveolar clefts undergoing SABG (2023–2024) were analyzed. Donor-site iliac cancellous BD (ICBD) was quantified using Hounsfield Units (HU) from preoperative Computed Tomography (CT). Postoperative osteogenesis volume (OV), osteogenesis rate (OR), and the osteogenic area BD (OABD) were calculated via three-dimensional (3D) reconstruction and Boolean operations on pre- and postoperative (6-month) CT scans.
Results |
A significant strong negative correlation was found between ICBD and OABD (ρ = -0.6436, p = 0.0022), indicating that lower donor-site ICBD correlated with higher BD in the osteogenic alveolar bone. No significant correlations were observed between ICBD and OV (p = 0.7252) OR (p = 0.3494).
Conclusion |
In this pilot study, lower-density iliac cancellous bone was associated with superior bone density at the graft site. These preliminary findings suggest that preoperative assessment of ICBD may be a useful indicator, but further prospective studies are needed to confirm its clinical utility.
Le texte complet de cet article est disponible en PDF.Keywords : Alveolar cleft, Alveolar bone grafting, Bone density, Osteogenesis, Treatment outcome
Abbreviations : SABG, BD, ICBD, BMPs, HU, CT, OV, OR, OABD, 3D, CLP, ICBG, ASIS, BMSCs
Plan
Vol 127 - N° 6
Article 102859- décembre 2026 Retour au numéro
Article précédent
- Biomechanical evaluation of All-on-4, M-4, V-4, and zygomatic implant concepts in the rehabilitation of the atrophic maxilla: a finite element analysis
- Mahmut Sami Yolal, Aydin Ozkan, Ozgun Yıldırım, Metin Sencimen, Umit Karacayli
- Deep learning-based diagnosis of parotid gland tumors on CT images: A multi-view approach for preoperative differentiation of benign and malignant lesions
- Wen Du, Siyu Chen, Jiaqi Li, Zhiming Cui, Wenbo Zhang, Yao Yu, Zunan Tang, Hao Wang, Xin Peng
Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.
Déjà abonné à cette revue ?