Sharma Sidhartha, Haldar Partha, Kumar Vijay, Chawla Amrita, Logani Ajay
Division of Conservative Dentistry and Endodontics, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India.
Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
J Endod. 2025 Mar;51(3):295-302. doi: 10.1016/j.joen.2024.12.008. Epub 2024 Dec 19.
The dynamic navigation system (DNS) in endodontics presents a significant learning curve. This cross-sectional study aimed to assess the number of cases required to achieve consistent performance in DNS-assisted treatment of maxillary anterior teeth with pulp canal calcification.
A series of DNS procedures were performed on 45 calcified maxillary anterior teeth with pulp necrosis by a single endodontist who had no prior clinical DNS experience. Preoperative cone-beam computed tomography was obtained. After trace registration and calibration, drilling was executed using a low-speed bur. Once the canal was located and scouted to the working length, a postoperative cone-beam computed tomography was taken immediately. Angular deviation (AD), linear deviation (LD), and operating time (OT) were measured. The learning curve was evaluated using the risk-adjusted cumulative sum analysis method.
The overall success rate in locating canals was 93.33% (95% CI 80.7, 98.3). The mean (±SD) for AD, LD and OT was 3.21 ± 2.23°, 0.52 ± 0.33 mm and 34.14 ± 13.18 minutes, respectively. For AD, 2 distinct peaks were observed at the 5th and 18th cases, identifying 3 learning phases: Phase I (cases 1-5), Phase II (cases 6-18), and Phase III (cases 19-45). Similarly, LD exhibited peaks at the 13th and 28th cases. Two peaks for OT were identified at the 7th and 26th cases.
Achieving technical proficiency in locating calcified canals using DNS required approximately 18 to 28 cases, indicating a significant learning curve that must be overcome for optimal accuracy.
牙髓病学中的动态导航系统(DNS)存在显著的学习曲线。本横断面研究旨在评估在上颌前牙牙髓腔钙化的DNS辅助治疗中,达到一致操作水平所需的病例数量。
由一位此前无DNS临床经验的牙髓病医生,对45颗患有牙髓坏死的钙化上颌前牙进行一系列DNS操作。术前进行锥形束计算机断层扫描。在进行轨迹配准和校准后,使用低速车针进行钻孔。一旦确定根管并探查至工作长度,立即进行术后锥形束计算机断层扫描。测量角度偏差(AD)、线性偏差(LD)和操作时间(OT)。使用风险调整累积和分析方法评估学习曲线。
根管定位的总体成功率为93.33%(95%可信区间80.7, 98.3)。AD、LD和OT的平均值(±标准差)分别为3.21±2.23°、0.52±0.33 mm和34.14±13.18分钟。对于AD,在第5例和第18例观察到2个明显的峰值,确定了3个学习阶段:第一阶段(第1 - 5例)、第二阶段(第6 - 18例)和第三阶段(第19 - 45例)。同样,LD在第13例和第28例出现峰值。OT在第7例和第26例出现2个峰值。
使用DNS在定位钙化根管方面达到技术熟练需要大约18至28例病例,这表明存在显著的学习曲线,必须克服该曲线以实现最佳准确性。