机器人辅助上颌第三磨牙自体移植2例报告。

IF 3.1 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Frontiers in oral health Pub Date : 2025-09-16 eCollection Date: 2025-01-01 DOI:10.3389/froh.2025.1661873
Yunkun Liu, Jia Song, Xiaoyu Chen, Chuyang Zhang, Yong Yang, Dan Liu, Haolin Zhou, Bingling Wu, Jian Zhang, Zhiyu Gu
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引用次数: 0

摘要

自体牙移植因其具有良好的生物相容性和保存牙列的能力而受到越来越多的关注。然而,传统的牙齿自体移植技术对技术高度敏感,依赖于临床医生的经验,限制了其可预测性和更广泛的临床应用。随着数字牙科和外科机器人技术的进步,机器人辅助的牙齿自体移植提供了一种提高精度和一致性的新方法。在这两份报告中,通过人工智能辅助分割、手术路径规划和3D打印技术处理了数字口内扫描和锥束计算机断层扫描数据。在机器人手术之前,手术指南被安装在患者的口腔中进行校准并确保准确对齐。在手术过程中,使用自主手术机器人在上第一磨牙区域准备受体位置。在准备好牙槽后,使用牙齿复制品来模拟移植过程,以便在进行实际种植之前确认配合和方向。上三磨牙移植按照标准化的数字方案进行,包括一次性根管治疗,3mm根尖切除术,拔牙后立即逆行填充。治疗后的牙齿在最佳时间窗内种植到新鲜的拔牙槽内,从根管治疗到种植的总时间不超过15分钟。病例分别随访3个月和6个月,术后随访结果良好,影像学证实固定稳定,周围软组织健康,骨愈合进展。这些研究结果表明,基于人工智能的计划和机器人辅助的整合显著提高了牙齿自体移植的可预测性和临床结果,支持其作为现代牙科手术标准化和智能解决方案的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot-assisted autotransplantation of third molars in the maxilla: two case reports.

Autotransplantation of teeth has attracted increasing attention due to its excellent biocompatibility and ability to preserve natural dentition. However, conventional autotransplantation of tooth techniques are highly technique-sensitive and reliant on clinician experience, limiting their predictability and broader clinical application. With the advancement of digital dentistry and surgical robotics, robot-assisted autotransplantation of teeth offers a new approach that enhances precision and consistency. In these two reports, digital intraoral scans and cone-beam computed tomography data were processed through AI-assisted segmentation, surgical path planning, and 3D printing technologies. Prior to robotic surgery, surgical guides were installed in the patient's oral cavity to perform calibration and ensure accurate alignment. During the procedure, an autonomous surgical robot was employed to prepare the recipient sites in the upper first molar regions. Following socket preparation, tooth replicas were used to simulate the transplantation process, allowing confirmation of fit and orientation before proceeding with the actual implantation. The transplantation of upper third molars was performed following a standardized digital protocol, involving one-time root canal treatment, 3 mm apicoectomy, and retrograde filling immediately after extraction. The treated teeth were then implanted into fresh extraction socket within the optimal time window, with the total duration from endodontic treatment to implantation not exceeding 15 min. The cases were followed up for three and six months, respectively, postoperative follow-ups showed favorable outcomes, including stable fixation, healthy surrounding soft tissues, and progressive bone healing as confirmed by radiographic imaging. These findings suggest that the integration of AI-based planning and robotic assistance significantly improves the predictability and clinical outcomes of autotransplantation of teeth, supporting its potential as a standardized and intelligent solution in modern dental surgery.

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CiteScore
3.30
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