Evidence map›Paper›PMID 38735893›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Automatic planning of maxillary anterior dental implant based on prosthetically guided and pose evaluation indicator.

Yuan Feng, BaoXin Tao, JiaCheng Fan, ShiGang Wang, JinQiu Mo, YiQun Wu, QingHua Liang

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Article in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yuan Feng *School of Mechanical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China.
BaoXin Tao *Department of Second Dental Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
JiaCheng FanSchool of Mechanical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China.
ShiGang WangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China.
JinQiu MoSchool of Mechanical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China.
YiQun WuDepartment of Second Dental Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. yiqunwu@hotmail.com.
QingHua LiangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China. qhliang@sjtu.edu.cn.

Funding

National Key R&D Program of China 2017YFB1302901
6 · The paper itself

Abstract

purposePreoperative planning of maxillary anterior dental implant is a prerequisite to ensuring that the implant achieves the proper three-dimensional (3D) pose, which is essential for its long-term stability. However, the current planning process is labor-intensive and subjective, relying heavily on the surgeon's experience. Consequently, this paper proposes an automatic method for computing the optimal pose of the dental implant.

methodsThe method adopts the principle of prosthetically guided dental implant placement. Initially, the prosthesis coordinate system is established to determine the implant candidate orientations. Subsequently, virtual slices of the maxilla in the buccal-palatal direction are generated according to the prosthesis position. By extracting feature points from the virtual slices, the implant candidate starting points are acquired. Then, a candidate pose set is obtained by combining these candidate starting points and orientations. Finally, a pose evaluation indicator is introduced to determine the optimal implant pose from this set.

resultsTwenty-two cases were utilized to validate the method. The results show that the method could determine an ideal pose for the dental implant, with the average minimum distance between the implant and the left tooth root, the right tooth root, the palatal side, and the buccal side being

conclusionUnlike manual planning, the proposed method can efficiently and accurately complete maxillary anterior dental implant planning, providing a theoretical analysis of the success rate of the implant. Thus, it has great potential for future clinical application.

Indexed as

Dental ImplantsImaging, Three-DimensionalMaxillaCone-Beam Computed TomographyDental Implantation, EndosseousHumansPatient Care PlanningSurgery, Computer-AssistedDental ImplantsMaxillary anterior dental implant planningOptimal implant posePose evaluation indicatorProsthetically guided implantation

Identifiers

PMID38735893

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.