| 基于CBCT的可视化技术在颧种植体导航中的设计研究 |
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| 引用本文： | 刘澍,童昕,王铁梅,柳慧芬,林梓桐. 基于CBCT的可视化技术在颧种植体导航中的设计研究[J]. 口腔医学研究, 2018, 34(10): 1093. DOI: 10.13701/j.cnki.kqyxyj.2018.10.015 |
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| 作者姓名： | 刘澍 童昕 王铁梅 柳慧芬 林梓桐 |
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| 作者单位： | 1. 南京大学医学院附属口腔医院,南京市口腔医院口腔颌面医学影像科 江苏 南京 210008; 2. 南京大学医学院附属口腔医院,南京市口腔医院种植科 江苏 南京 210008 |
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| 基金项目： | 江苏省自然科学基金面上项目(编号:BK20150089),江苏省南京市医学科技发展项目(编号:YKK15116),南京市医学科技发展资金(编号:QRX17079) |
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| 摘 要： | 目的: 探讨如何使用Simplant软件对上颌骨骨量不足的患者进行颧种植体设计,并在手术导航中实施。方法: 5例上颌后牙区骨量不足的患者使用Simplant软件基于CBCT数据进行种植体设计,并在导航下实行手术。结果: 5例患者植入种植体后,位置与术前设计方案比较发现,种植体与Fankfort平面所成角度(angle,A)偏差小于1°,颧骨内种植体的长度(length in zygoma,LZ)距眶壁距离(distance to orbit wall,D)、牙槽骨内种植体长度(length in alveolar bone, LA)的偏差均小于2 mm,术后12个月随访无种植体失败。结论: 通过Simplant软件进行颧种植体设计,可以使种植方案更加完善,与手术导航系统的联合使用可以实现精准手术,大大提升了复杂颧种植手术的安全性和准确性。
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| 关 键 词： | CBCT 颧种植体 手术模拟 可视化技术 |
| 收稿时间： | 2018-01-09 |
Designing of Zygomatic Implant Surgery Navigation with Visualization Technology based on CBCT Data. |
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| LIU Shu,TONG Xin,WANG Tie-mei,LIU Hui-fen,LIN Zi-tong.. Designing of Zygomatic Implant Surgery Navigation with Visualization Technology based on CBCT Data.[J]. Journal of Oral Science Research, 2018, 34(10): 1093. DOI: 10.13701/j.cnki.kqyxyj.2018.10.015 |
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| Authors: | LIU Shu TONG Xin WANG Tie-mei LIU Hui-fen LIN Zi-tong. |
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| Affiliation: | 1. Department of Oral and Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing 210008, China; 2. Department of Implantology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing 210008, China. |
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| Abstract: | Objective: To design the zygomatic implant for patients with severely atrophied alveolar ridge by Simplant using CBCT data, and to implement it in surgery. Methods: Implants were designed for 5 patients with severely atrophied alveolar ridge by Simplant. During the operation, the navigation software will match the pathway to the designed plan. Results: Implant positions deviated from planed slightly. The deviation of the angle of implant to the Fankfort plane (A) is less than 1°, the deviations of the length of implant in Zygoma (LZ) to the distance from the implant to orbit wall length (D) and to the length of implant in alveolar bone (LA) were less than 2mm. After 12 months, no implant failure occurred. Conclusion: Designing the surgical pathway of zygomatic implant through Simplant software and effectuating the surgery through surgical navigation system can make the planting plan more precise, and greatly enhance the safety and accuracy of complex zygomatic implant surgery. |
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| Keywords: | CBCT Zygoma implant Surgery simulation Visualization technology |
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