国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (21): 3570-3575.DOI: 10.3760/cma.j.cn441417-20250626-21010

• 论著 • 上一篇    下一篇

3D打印支架义齿精度验证及临床适配性研究

马宏斌  张雯怡  金燕娇  吴炜   

  1. 天津医科大学总医院口腔科,天津 300052
  • 收稿日期:2025-06-26 出版日期:2025-11-01 发布日期:2025-11-18
  • 通讯作者: 吴炜,Email:wuwei19672002@sina.com
  • 基金资助:
    吴阶平医学基金会课题(320.6750.2021-11-5)

Accuracy verification and clinical adaptability research of 3D printed dentures

Ma Hongbin, Zhang Wenyi, Jin Yanjiao, Wu Wei   

  1. Department of Stomatology, Tianjin Medical University General Hospital, Tianjin 300052, China
  • Received:2025-06-26 Online:2025-11-01 Published:2025-11-18
  • Contact: Wu Wei, Email: wuwei19672002@sina.com
  • Supported by:
    Wu Jieping Medical Foundation Project (320.6750.2021-11-5)

摘要: 目的 探讨3D打印支架义齿的临床适配性与精度,验证3D打印技术在口腔修复中的应用价值。方法 采用前瞻性随机对照设计,纳入2022年1月至2024年6月天津医科大学总医院114例牙列缺失患者,按随机数字表法分为观察组与对照组各57例。观察组男28例、女29例,年龄(58.21±7.62)岁,缺失牙齿数(4.30±1.17);对照组男29例、女28例,年龄(57.84±8.08)岁,缺失牙齿数(4.21±1.09)。观察组采用3D打印技术[数字化设计+选择性激光熔化(SLM)打印]制作义齿,对照组采用传统铸造工艺。评估两组边缘贴合度、基牙接触、咬合关系、佩戴稳定性及患者满意度。采用独立样本t检验、χ2检验进行统计学分析;多因素logistic回归分析术后1个月患者满意度的影响因素;通过Bootstrap法(5 000次抽样)检验支架贴合度在制作方式与满意度间的中介效应;采用线性混合效应模型分析重复测量数据。结果 术后1个月,观察组边缘贴合良好率高于对照组[87.72%(50/57)比71.93%(41/57)],基牙接触优良率高于对照组[78.95%(45/57)比61.40%(35/57)],咬合良好率[85.96%(49/57)]与稳定性达标率[84.21%(48/57)]均高于对照组[70.18%(40/57)、68.42%(39/57)],患者满意度亦高于对照组(均P<0.05)。术后3个月观察组各指标仍优于对照组(均P<0.05),但6个月时差异缩小(均P>0.05)。logistic回归分析显示,3D打印工艺是提升患者满意度的核心因素(OR=3.467,P=0.004)。支架贴合度在3D打印工艺与满意度间起完全中介效应(P<0.05)。结论 3D打印支架义齿在早期临床适配性与精度方面优于传统铸造工艺,其优势通过数字化闭环控制与生物力学优化实现,为口腔修复向数据驱动型转型提供依据。

关键词: 3D打印技术, 可摘局部义齿, 金属支架, 临床适配性

Abstract:

Objective To investigate the clinical adaptability and accuracy of 3D-printed denture frameworks and validate the application value of 3D printing technology in oral rehabilitation. Methods A prospective randomized controlled design was adopted. A total of 114 patients with complete dentition loss at Tianjin Medical University General Hospital from January 2022 to June 2024 were included, and were randomly divided into an observation group and a control group, with 57 cases in each group. In the observation group, there were 28 males and 29 females, with an age of (58.21±7.62) years old and a number of missing teeth of (4.30±1.17); in the control group, there were 29 males and 28 females, with an age of (57.84±8.08) years old and a number of missing teeth of (4.21±1.09). The observation group used 3D printing technology [digital design + selective laser melting (SLM) printing] to manufacture the dentures, while the control group used the traditional casting process. The edge fit, abutment contact, occlusal relationship, wearing stability, and patients' satisfaction of the two groups were evaluated. Statistical analysis was conducted using the independent sample t test and χ2 test; multivariate logistic regression analysis was used to analyze the influencing factors of patients' satisfaction one month after surgery; the mediating effect of framework fit between the production method and satisfaction was tested by the Bootstrap method (5 000 sampling); a linear mixed-effect model was used to analyze the repeated measurement data. Results One month after surgery, the good rate of edge fit in the observation group was higher than that in the control group [87.72% (50/57) vs. 71.93% (41/57)], the excellent rate of abutment tooth contact was higher than that in the control group [78.95% (45/57) vs. 61.40% (35/57)], the rate of good occlusion [85.96% (49/57)] and the rate of reaching stability standards [84.21% (48/57)] were both higher than those in the control group [70.18% (40/57) and 68.42% (39/57)], and the patients' satisfaction was also higher than that in the control group (all P<0.05). Three months after surgery, the indicators of the observation group were still superior to those of the control group (all P<0.05), but the differences narrowed at 6 months (all P>0.05). Logistic regression analysis revealed that the 3D printing process was the key factor in enhancing the patients' satisfaction (OR=3.467, P=0.004). The framework fit served as a complete mediator between the 3D printing process and satisfaction (P<0.05). Conclusion 3D-printed denture frameworks exhibit significantly better early clinical adaptability and accuracy than traditional casting, achieve through digital closed-loop control and biomechanical optimization, thereby providing a basis for the transition of oral restoration toward data-driven approaches.

Key words: 3D printing technology, Removable partial dentures, Metal framework, Clinical applicability