Effect of Bone Microstructure Derived From CBCT on the Accuracy of Robot-Assisted Implant Surgery: A Retrospective Study

被引:0
|
作者
Dong, Wenxi [1 ,2 ]
Wang, Linhong [1 ]
Zheng, Yuanna [3 ,4 ]
Yang, Xulan [5 ]
Shen, Liheng [1 ]
Yang, Fan [1 ]
Zheng, Yuchen [1 ]
机构
[1] Zhejiang Prov Peoples Hosp, Affiliated Peoples Hosp, Hangzhou Med Coll, Ctr Plast & Reconstruct Surg,Dept Stomatol, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Chinese Med Univ, Sch Stomatol, Hangzhou, Zhejiang, Peoples R China
[3] Zhejiang Chinese Med Univ, Sch Hosp Stomatol, Hangzhou, Zhejiang, Peoples R China
[4] Ningbo Dent Hosp, Ningbo, Zhejiang, Peoples R China
[5] Hangzhou Jianjia Med Technol Co Ltd, Hangzhou, Zhejiang, Peoples R China
关键词
bone microstructure; cone-beam computed tomography; dental implantation; robotic surgical procedures; BEAM COMPUTED-TOMOGRAPHY; MICROARCHITECTURE; PLACEMENT; CADAVER; STATE;
D O I
10.1111/clr.14414
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Objective: The aim of this study was to investigate the influence of bone microstructure on the accuracy of robot-assisted dental implant surgery. Materials and Methods: This retrospective study analyzed 52 patients who received robot-assisted implant surgery between January 2023 and October 2023. Cone beam computed tomography (CBCT) scans were used to evaluate bone microstructural parameters, including the bone volume (BV), tissue volume (TV), bone volume fraction (BV/TV), bone surface (BS), bone surface fraction (BS/BV), trabecular thickness (Tb.Th), and trabecular separation (Tb.Sp). Preoperative and postoperative CBCT data were used to evaluate implant accuracy, and the relationship between bone microstructure parameters and implant deviation including platform deviation, apex deviation, and angular deviation was statistically analyzed. Results: In robot-assisted implant surgery, BS/BV was a potential facilitator of several implant deviations, while BV/TV and Tb.Th were potential inhibitors of apex global deviation and angular deviation, respectively. Implant deviations were divided into two groups of large and small deviations by median, and the receiver operating characteristic (ROC) curve analysis showed that Tb.Th had the largest area under the ROC for predicting large apex global deviation, 0.711 (p < 0.001), with an optimal cutoff value > 0.179, a sensitivity and specificity of 70.37% and 76.92%. Conclusion: The study concluded that bone microstructure might affect the accuracy of dental implant placement in robotic surgeries. Incorporating bone quality assessments into preoperative planning may enhance the precision and outcomes of implant procedures, highlighting the potential for further refinement in robotic-assisted dental surgery techniques. Trial Registration identifier: ChiCTR2400085813
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页数:10
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