Journal of Peking University (Health Sciences) ›› 2022, Vol. 54 ›› Issue (1): 146-152. doi: 10.19723/j.issn.1671-167X.2022.01.023

Previous Articles     Next Articles

In vitro evaluation of positioning accuracy of trephine bur at different depths by dynamic navigation

LIU Si-min1,ZHAO Yi-jiao2,WANG Xiao-yan1,WANG Zu-hua1,()   

  1. 1. Department of Conservative Dentistry and Endodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China
    2. Center for Digital Dentistry, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing 100081, China
  • Received:2021-10-09 Online:2022-02-18 Published:2022-02-21
  • Contact: Zu-hua WANG E-mail:wangzuhua@pkuss.bjmu.edu.cn

RICH HTML

  

Abstract:

Objective: To evaluate the accuracy of trephine bur drilling at different depths guided by dynamic navigation system in 3D printing in vitro model. Methods: A model at the depth of 5 mm, 10 mm, and 15 mm from the outer surface of which hemispherical cavities was reserved and the 3D printing technology was used to make the standardized model with Veroclear resin. The cone beam CT (CBCT) was taken and the data were imported into the dynamic navigation software (DCARER, China) to establish navigation path programming. Under the guidance of dynamic navigation, a trephine bur with a diameter of 4.5 mm was used to complete the access operation. At each depth, 10 approaches were completed. The postoperative model CBCT was taken. The approach trajectory under navigation was reconstructed and compared with the designed path. The two-dimensional distance deviation, depth deviation, three-dimensional distance deviation, and angle deviation between the actually prepared path and the designed path were calculated. Results: At the depth of 5 mm, the two-dimensional distance deviation between the end position of the prepared path and the designed path was (0.37±0.06) mm, the depth deviation was (0.06±0.05) mm, the three-dimensional distance deviation was (0.38±0.07) mm, and the angle deviation was 2.46°±0.54°; At the depth of 10 mm, the four deviations between the end position of prepared path and the designed path were (0.44±0.05) mm, (0.16±0.06) mm, (0.47±0.05) mm, and 2.45°±1.21°, respectively; At the depth of 15 mm, the four deviations were (0.52±0.14) mm, (0.16±0.07) mm, (0.55±0.15) mm, and 3.25°±1.22°, respectively. With the increase of entry depth, the three-dimensional and depth accuracy of dynamic navigation system decreased (P<0.01), and the positioning angle deviation had no relation with the entry depth (P>0.01). Conclusion: Dynamic navigation technology can achieve high positioning accuracy in the depth range of 15 mm, but its deviation increases with the increase of entry depth.

Key words: Dynamic navigation, Printing, three-dimensional, Dental models, Fiducial markers

CLC Number: 

  • R783.3

Figure 1

Design of navigation approach A, 3D perspective view of model; B, side view of the model, reserved cavity positions at different depths; C, three dimensional image of approach design in navigation system; D, use a 4.5 mm diameter boneless ring drill; E, design drawing of the axial plane approach in the navigation system; F, design drawing of the sagittal approach in the navigation system; G, periimplant density."

Figure 2

Preparation before dynamic navigation A, calibrate the handpiece; B, fix the model on the table."

Figure 3

Operation under dynamic navigation A and D, model and trephine bur from three-dimensional perspective; B, sagittal plane of model; C, horizontal plane of model; E, distance tolerance; F, angle tolerance; G, in the 5 mm group, the trephine bur was guided to a depth of 0.1 mm under navigation; H, guide the trephine bur into the depth of 3.0 mm, and the color of the depth prompt column changes; I, depth reaches target position."

Figure 4

Evaluation of positioning accuracy and angle deviation A, the postoperative model was reconstructed in MIMICS software; B, fit the drill needle approach in Geomagic software; C, navigation approach deviation analysis diagram. a, 2D distance deviation; b, depth deviation; c, 3D distance deviation; d, angle deviation; e, initial position deviation."

Table 1

Position deviation and angle deviations of navigation end position at different entry depths"

Deviations Overall data Depth F P
5 mm 10 mm 15 mm
2D distance deviation/mm, x ?±s 0.44±0.12 0.37±0.06 0.44±0.05 0.52±0.14 5.751 0.008
Depth deviation/mm, $\bar{x}\pm s$ 0.13±0.78 0.06±0.05 0.16±0.06 0.16±0.07 6.915 0.004
3D distance deviation/mm, $\bar{x}\pm s$ 0.47±0.12 0.38±0.07 0.47±0.05 0.55±0.15 4.509 0.020
Angle deviation/(°), $\bar{x}\pm s$ 2.72±1.12 2.46±0.54 2.45±1.21 3.25±1.22 1.780 0.188
Initial position deviation/mm, $\bar{x}\pm s$ 0.62±1.73 0.57±0.10 0.55±0.11 0.74±0.20 7.662 0.002

Table 2

LSD post test of navigation end position deviations at different entry depths"

Dependent variable Depth of
group 1/mm
Depth of
group 2/mm
P
2D distance deviation
5 10 0.177
5 15 0.002
10 15 0.057
3D distance deviation
5 10 0.071
5 15 0.001
10 15 0.077
Depth deviation
5 10 0.003
5 15 0.002
10 15 0.862
[1] Bobek SL. Applications of navigation for orthognathic surgery[J]. Oral Maxillofac Surg Clin North Am, 2014, 26(4):587-598.
doi: 10.1016/j.coms.2014.08.003
[2] Wadley J, Dorward N, Kitchen N, et al. Pre-operative planning and intra-operative guidance in modern neurosurgery: A review of 300 cases[J]. Ann R Coll Surg Engl, 1999, 81(4):217-225.
[3] Bell RB. Computer planning and intraoperative navigation in orthognathic surgery[J]. J Oral Maxillofac Surg, 2011, 69(3):592-605.
doi: 10.1016/j.joms.2009.06.030
[4] Emery RW, Merritt SA, Lank K, et al. Accuracy of dynamic navigation for dental implant placement-model-based evaluation[J]. J Oral Implantol, 2016, 42(5):399-405.
doi: 10.1563/aaid-joi-D-16-00025
[5] Block MS, Emery RW, Cullum DR, et al. Implant placement is more accurate using dynamic navigation[J]. J Oral Maxillofac Surg, 2017, 75(7):1377-1386.
doi: 10.1016/j.joms.2017.02.026
[6] Zubizarreta-Macho Á, Muñoz AP, Deglow ER, et al. Accuracy of computer-aided dynamic navigation compared to computer-aided static procedure for endodontic access cavities: An in vitro study[J]. J Clin Med, 2020, 9(1):129.
doi: 10.3390/jcm9010129
[7] Dianat O, Nosrat A, Mostoufi B, et al. Accuracy and efficiency of guided root-end resection using a dynamic navigation system: A human cadaver study[J]. Int Endodo J, 2021, 54(5):793-801.
doi: 10.1111/iej.v54.5
[8] Jain SD, Carrico CK, Bermanis I. 3-dimensional accuracy of dynamic navigation technology in locating calcified canals[J]. J Endod, 2020, 46(6):839-845.
doi: 10.1016/j.joen.2020.03.014
[9] Wu D, Zhou L, Yang J, et al. Accuracy of dynamic navigation compared to static surgical guide for dental implant placement[J]. Int J Implant Dent, 2020, 6(1):78.
doi: 10.1186/s40729-020-00272-0
[10] Wei SM, Zhu Y, Wei JX, et al. Accuracy of dynamic navigation in implant surgery: A systematic review and meta-analysis[J]. Clin Oral Implants Res, 2021, 32(4):383-393.
doi: 10.1111/clr.v32.4
[11] Gambarini G, Galli M, Morese A, et al. Precision of dynamic navigation to perform endodontic ultraconservative access cavities: A preliminary in vitro analysis[J]. J Endod, 2020, 46(9):1286-1290.
doi: S0099-2399(20)30385-X pmid: 32553875
[12] Aydemir CA, Arısan V. Accuracy of dental implant placement via dynamic navigation or the freehand method: A split-mouth rando-mized controlled clinical trial[J]. Clin Oral Implants Res, 2020, 31(3):255-263.
[13] Mediavilla Guzmán A, Riad Deglow E, Zubizarreta-Macho Á, et al. Accuracy of computer-aided dynamic navigation compared to computer-aided static navigation for dental implant placement: An in vitro study[J]. J Clin Med, 2019, 8(12):2123.
doi: 10.3390/jcm8122123
[14] Pellegrino G, Taraschi V, Andrea Z, et al. Dynamic navigation: A prospective clinical trial to evaluate the accuracy of implant placement[J]. Int J Comput Dent, 2019, 22(2):139-147.
pmid: 31134220
[15] Hawkins TK, Wealleans JA, Pratt AM, et al. Targeted endodontic microsurgery and endodontic microsurgery: A surgical simulation comparison[J]. Int Endod J, 2020, 53(5):715-722.
doi: 10.1111/iej.13243 pmid: 31674678
[16] Christofzik D, Bartols A, Faheem MK, et al. Shaping ability of four root canal instrumentation systems in simulated 3D-printed root canal models[J]. PLoS One, 2018, 13(8):e0201129.
doi: 10.1371/journal.pone.0201129
[17] Nagy E, Fráter M, Antal M. Guided modern endodontic microsurgery by use of a trephine bur[J]. Orv Hetil, 2020, 161(30):1260-1265.
doi: 10.1556/650.2020.31778
[18] Buniag AG, Pratt AM, Ray JJ. Targeted endodontic microsurgery: A retrospective outcomes assessment of 24 cases[J]. J Endod, 2021, 47(5):762-769.
doi: 10.1016/j.joen.2021.01.007
[19] Collyer J. Stereotactic navigation in oral and maxillofacial surgery[J]. Br J Oral Maxillofac Surg, 2010, 48(2):79-83.
doi: 10.1016/j.bjoms.2009.04.037 pmid: 20061072
[20] Popowicz W, Palatyńska-Ulatowska A, Kohli MR. Targeted endodontic microsurgery: Computed tomography-based guided stent approach with platelet-rich fibrin graft: A report of 2 cases[J]. J Endod, 2019, 45(12):1535-1542.
doi: S0099-2399(19)30626-0 pmid: 31606146
[21] Rismanchian M, Bajoghli F, Gholamreza T, et al. Dental implants: Early versus standard two-stage loading (animal study)[J]. J Oral Implant, 2014, 40(1):84-93.
doi: 10.1563/AAID-JOI-D-10-00202
[22] Gambarini G, Galli M, Stefanelli LV, et al. Endodontic microsurgery using dynamic navigation system: A case report[J]. J Endod, 2019, 45(11):1397-1402.
doi: S0099-2399(19)30544-8 pmid: 31515047
[1] Xinxin ZHAN,Lulu CAO,Dong XIANG,Hao TANG,Dandan XIA,Hong LIN. Effect of printing orientation on physical and mechanical properties of 3D printing prosthodontic base resin materials [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 345-351.
[2] Liang LYU,Mingjin ZHANG,Aonan WEN,Yijiao ZHAO,Yong WANG,Jing LI,Gengchen YANG,Dawei LIU. Preliminary evaluation of chin symmetry with three dimentional soft tissue spatial angle wireframe template [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 106-110.
[3] Bochun MAO,Yajing TIAN,Xuedong WANG,Jing LI,Yanheng ZHOU. Soft and hard tissue changes of hyperdivergent class Ⅱ patients before and after orthodontic extraction treatment [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 111-119.
[4] Xiaotong LING,Liuyang QU,Danni ZHENG,Jing YANG,Xuebing YAN,Denggao LIU,Yan GAO. Three-dimensional radiographic features of calcifying odontogenic cyst and calcifying epithelial odontogenic tumor [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 131-137.
[5] Panpan HU,Yan LI,Xiao LIU,Yanchao TANG,Zihe LI,Zhongjun LIU. Clinical outcomes of 3D-printing stand-alone artificial vertebral body in anterior cervical surgeries [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 161-166.
[6] Wen ZHANG,Xiao-jing LIU,Zi-li LI,Yi ZHANG. Effect of alar base cinch suture based on anatomic landmarks on the morphology of nasolabial region in patients after orthognathic surgery [J]. Journal of Peking University (Health Sciences), 2023, 55(4): 736-742.
[7] Meng-en OU,Yun DING,Wei-feng TANG,Yong-sheng ZHOU. Three-dimensional finite element analysis of cement flow in abutment margin-crown platform switching [J]. Journal of Peking University (Health Sciences), 2023, 55(3): 548-552.
[8] Ao-nan WEN,Wei LIU,Da-wei LIU,Yu-jia ZHU,Ning XIAO,Yong WANG,Yi-jiao ZHAO. Preliminary evaluation of the trueness of 5 chairside 3D facial scanning techniques [J]. Journal of Peking University (Health Sciences), 2023, 55(2): 343-350.
[9] Shi-kai XIONG,Wei-li SHI,An-hong WANG,Xing XIE,Qin-wei GUO. Radiographic diagnosis of distal fibula avulsion fractures: Comparison of ankle X-ray and three-dimensional reconstruction of CT [J]. Journal of Peking University (Health Sciences), 2023, 55(1): 156-159.
[10] Zi-xiang GAO,Yong WANG,Ao-nan WEN,Yu-jia ZHU,Qing-zhao QIN,Yun ZHANG,Jing WANG,Yi-jiao ZHAO. Automatic determination of mandibular landmarks based on three-dimensional mandibular average model [J]. Journal of Peking University (Health Sciences), 2023, 55(1): 174-180.
[11] ABUDUREHEMAN Kaidierya,Rong-geng ZHANG,Hao-nan QIAN,Zhen-yang ZOU,YESITAO Danniya,Tian-yuan FAN. Preparation and in vitro evaluation of FDM 3D printed theophylline tablets with personalized dosage [J]. Journal of Peking University (Health Sciences), 2022, 54(6): 1202-1207.
[12] Hai-ying XING,Yu-hui CHEN,Ke XU,Dian-dian HUANG,Qing PENG,Ran LIU,Wei SUN,Yi-ning HUANG. Evaluation of carotid atherosclerotic plaques by vascular plaque quantification (VPQ) technology of three-dimensional ultrasonography [J]. Journal of Peking University (Health Sciences), 2022, 54(5): 991-999.
[13] Zhi-sheng LI,Hao-nan QIAN,Tian-yuan FAN. Preparation and in vitro evaluation of fused deposition modeling 3D printed compound tablets of captopril and hydrochlorothiazide [J]. Journal of Peking University (Health Sciences), 2022, 54(3): 572-577.
[14] QIU Shu-ting,ZHU Yu-jia,WANG Shi-min,WANG Fei-long,YE Hong-qiang,ZHAO Yi-jiao,LIU Yun-song,WANG Yong,ZHOU Yong-sheng. Preliminary clinical application verification of complete digital workflow of design lips symmetry reference plane based on posed smile [J]. Journal of Peking University (Health Sciences), 2022, 54(1): 193-199.
[15] SUN Yu-chun,GUO Yu-qing,CHEN Hu,DENG Ke-hui,LI Wei-wei. Independent innovation research, development and transformation of precise bionic repair technology for oral prosthesis [J]. Journal of Peking University (Health Sciences), 2022, 54(1): 7-12.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!