MedElevator
Войти в исследования Clinical implant dentistry and related research · 2026
Dynamic Occlusal Design Using Jaw Motion Data for Maxillary Full-Arch Implant Rehabilitation: A Retrospective Study.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Huang Liangfu, Yao Huiyu, Sun YanBin, Yu Qingyu, Li Jiayan, Ding Xi, Huang Jianjing
Аннотация
OBJECTIVES: To evaluate the clinical efficacy of prostheses designed using mandibular motion analysis in maxillary full-arch implant rehabilitation.
METHODS: Twenty patients were assigned to a study group (n = 10), receiving prostheses designed with dynamic occlusal data from an electronic jaw motion analyzer (JMA), or a control group (n = 10) using conventional static digital workflows. Between-group differences in occlusal adjustment depth (MAE), area, and chairside time were analyzed by independent t-tests. Within the study group, the stability of mandibular movement paths (provisional vs. post-restoration) was assessed using paired t-tests. Oral health-related quality of life (OHRQoL) was evaluated using the OHIP-14 questionnaire. Effect sizes were calculated as Hedges' g.
RESULTS: The study group exhibited significantly lower occlusal adjustment depth (163.26 ± 31.42 μm vs. 213.99 ± 56.38 μm; p = 0.030, Hedges' g = 1.06) and adjustment area (95.93 ± 30.27 mm2 vs. 129.86 ± 25.82 mm2; p = 0.020, g = 1.16) compared to the control group. Chairside adjustment time was reduced by approximately 30% (23.8 ± 7.8 min vs. 33.8 ± 8.0 min; p = 0.074, g = 1.15). No significant changes in parameters of mandibular movement paths were observed within the study group post-restoration (all p > 0.05). OHIP-14 scores were significantly better in the study group for "Meal interruption", "Relaxation difficulty" (p = 0.041), reflecting improved OHRQoL.
CONCLUSION: Integrating dynamic mandibular motion data into prosthesis design reduces clinical adjustments, improves OHRQoL, and preserves inherent movement patterns, demonstrating a promising approach to optimize functional outcomes in full-arch implant rehabilitation.
CLINICAL SIGNIFICANCE: Integrating dynamic mandibular motion data into digital prosthesis design offers a clinically valuable strategy that minimizes occlusal adjustments, supports functional stability, and enhances patient-reported quality of life in full-arch implant rehabilitation.
METHODS: Twenty patients were assigned to a study group (n = 10), receiving prostheses designed with dynamic occlusal data from an electronic jaw motion analyzer (JMA), or a control group (n = 10) using conventional static digital workflows. Between-group differences in occlusal adjustment depth (MAE), area, and chairside time were analyzed by independent t-tests. Within the study group, the stability of mandibular movement paths (provisional vs. post-restoration) was assessed using paired t-tests. Oral health-related quality of life (OHRQoL) was evaluated using the OHIP-14 questionnaire. Effect sizes were calculated as Hedges' g.
RESULTS: The study group exhibited significantly lower occlusal adjustment depth (163.26 ± 31.42 μm vs. 213.99 ± 56.38 μm; p = 0.030, Hedges' g = 1.06) and adjustment area (95.93 ± 30.27 mm2 vs. 129.86 ± 25.82 mm2; p = 0.020, g = 1.16) compared to the control group. Chairside adjustment time was reduced by approximately 30% (23.8 ± 7.8 min vs. 33.8 ± 8.0 min; p = 0.074, g = 1.15). No significant changes in parameters of mandibular movement paths were observed within the study group post-restoration (all p > 0.05). OHIP-14 scores were significantly better in the study group for "Meal interruption", "Relaxation difficulty" (p = 0.041), reflecting improved OHRQoL.
CONCLUSION: Integrating dynamic mandibular motion data into prosthesis design reduces clinical adjustments, improves OHRQoL, and preserves inherent movement patterns, demonstrating a promising approach to optimize functional outcomes in full-arch implant rehabilitation.
CLINICAL SIGNIFICANCE: Integrating dynamic mandibular motion data into digital prosthesis design offers a clinically valuable strategy that minimizes occlusal adjustments, supports functional stability, and enhances patient-reported quality of life in full-arch implant rehabilitation.