BMC oral health · 2026
Digital quantitative analysis of biomechanical factors of proximal contact loss of first molar implant crown.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Yin Derong, Gao Lingrui, Gao Hongwei, Xue Lijun, Wang Zhongda, Jia Meie, Wu Feng
Аннотация
BACKGROUND: The anterior component of force (ACF) is key to proximal contact loss (PCL) after implant restoration, yet its quantitative impact remains unclear. This study employed digital model analysis to indirectly assess the effects of ACF and examine its association with PCL.
METHODS: Following final restoration, 3D surface and buccal occlusal data were obtained from ninety first molar implant sites and mesial adjacent teeth. Occlusal force-induced changes in proximal contact gap (ΔdP) and centroid position (ΔdC) were measured using Geomagic Wrap 2021 for indirect ACF estimation. Proximal contact gaps were measured under non‑occluding conditions at baseline and 6 months to calculate the change over time (ΔD). Univariate and multivariate analyses identified PCL-related biomechanical influencing factors, and a restricted cubic spline (RCS) model was developed and validated using Cohen's Kappa.
RESULTS: The 6-month PCL incidence was 17.78%, and ΔdP emerged as a significant biomechanical influencing factor of ΔD (P < 0.001). RCS analysis revealed that the adjacent state remains stable when ΔdP is within the range of - 13 μm to 9 μm; beyond this range, imbalance occurs. The model demonstrated good fitting capability (κ = 0.59, P = 0.003).
CONCLUSION: This study achieved an indirect assessment and quantification of the effect of ACF through digital model analysis technology, and clarified its correlation with the PCL of the implant, providing new evidence and methodological references for related biomechanical research.
METHODS: Following final restoration, 3D surface and buccal occlusal data were obtained from ninety first molar implant sites and mesial adjacent teeth. Occlusal force-induced changes in proximal contact gap (ΔdP) and centroid position (ΔdC) were measured using Geomagic Wrap 2021 for indirect ACF estimation. Proximal contact gaps were measured under non‑occluding conditions at baseline and 6 months to calculate the change over time (ΔD). Univariate and multivariate analyses identified PCL-related biomechanical influencing factors, and a restricted cubic spline (RCS) model was developed and validated using Cohen's Kappa.
RESULTS: The 6-month PCL incidence was 17.78%, and ΔdP emerged as a significant biomechanical influencing factor of ΔD (P < 0.001). RCS analysis revealed that the adjacent state remains stable when ΔdP is within the range of - 13 μm to 9 μm; beyond this range, imbalance occurs. The model demonstrated good fitting capability (κ = 0.59, P = 0.003).
CONCLUSION: This study achieved an indirect assessment and quantification of the effect of ACF through digital model analysis technology, and clarified its correlation with the PCL of the implant, providing new evidence and methodological references for related biomechanical research.