3D打印个体化模型在复杂踝关节骨折治疗中的应用

目的探讨3D打印个体化模型在复杂踝关节骨折治疗中的应用。方法 2014年6月至2017年2月,选择复杂踝关节骨折患者78例,按照随机原则分为观察组与对照组,各39例。对照组采用X线进行手术设计,观察组采用3D打印个体化模型进行手术设计,两组都给予微创入路手术治疗。结果所有患者都完成手术,无术中严重并发症发生,两组切口长度、手术时间对比无明显差异(P>0.05),观察组的术中出血量、术后住院时间、骨折愈合时间明显少于对照组(P<0.05)。观察组术后3个月的钉道感染、切口感染、深静脉血栓形成等并发症的发生率明显低于对照组(5.1%vs.25.6%,P<0.05)。术后总有效率观察组高于对照组(97.4%vs.74.4%,P<0.05)。结论 3D打印个体化模型应用于复杂踝关节骨折可为患者提供安全、有效、个性化的治疗,提高疗效,减少术后并发症的发生,促进患者康复。

Effectiveness of 3D Print Individual Model on the Treatment of Complex Ankle Fracture

Objective To explore the effects of 3D printed individual model on the treatment of complex ankle fractures.Methods From June 2014 to February 2017, 78 patients with complex ankle fracture were selected and divided into observation group （n =39） and control group （n=39） in accordance with the principle of random draw envelope. Operative design by X -ray was used in control group, while individualized 3D printing model was used in observation group for operative design. The two groups were both operated by minimally invasive approach. Results All patients had finished the operation and there were no serious complications in the two groups. The incision length and operative time had no significant difference between the two groups （P〉0.05）. The blood loss, postoperative hospitalization time, fracture healing time in the observation group were significantly less than in the control group （P〈0.05）. Three months after operation, the incidence of complications such as nail tunnel infection, deep vein thrombosis and wound infection in the observation group were significantly lower than that in the control group （5.1% vs. 25.6%, P〈0.05）, and the total effective rate in the observation group was significantly higher than that in the control group （97.4% vs. 74.4%, P〈0.05）. Conclusion The application of 3D print individual model in the treatment of complex ankle fracture can provide safe, effective and personalized treatments, reduce the incidence of postoperative complications, promote the rehabilitation of patients and improve the prognosis of patients.