Evidence map›Paper›PMID 38332406›Full record

ArticleJournal of imaging informatics in medicine2024

A Proof of Concept: Optimized Jawbone-Reduction Model for Mandibular Fracture Surgery.

Jinmin Kim, Deokgi Jeung, Ranyeong Cho, Byoungeun Yang, Jaesung Hong

Abstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jinmin KimDIGITRACK. Inc., Daegu, Republic of Korea.
Deokgi JeungDepartment of Robotics and Mechatronics Engineering, DGIST, 333 Techno Jungang-Daero, Daegu, 42988, Republic of Korea.
Ranyeong ChoDivision of Oral & Maxillofacial Surgery, Hallym University Sacred Heart Hospital, 22 Gwanpyeong-Ro 170Beon-Gil, Gyeonggi-Do, 14068, Republic of Korea.
Byoungeun YangDivision of Oral & Maxillofacial Surgery, Hallym University Sacred Heart Hospital, 22 Gwanpyeong-Ro 170Beon-Gil, Gyeonggi-Do, 14068, Republic of Korea. face@hallym.or.kr.
Jaesung HongDepartment of Robotics and Mechatronics Engineering, DGIST, 333 Techno Jungang-Daero, Daegu, 42988, Republic of Korea. jhong@dgist.ac.kr.ORCID 0000-0001-5429-8330

Funding

Ministry of Science and ICT, South Korea No. 2020R1A2C2100012Ministry of Trade, Industry and Energy 20006006
6 · The paper itself

Abstract

Previous research on computer-assisted jawbone reduction for mandibular fracture surgery has only focused on the relationship between fractured sections disregarding proper dental occlusion with the maxilla. To overcome malocclusion caused by overlooking dental articulation, this study aims to provide a model for jawbone reduction based on dental occlusion. After dental landmarks and fracture sectional features are extracted, the maxilla and two mandible segments are aligned first using the extracted dental landmarks. A swarm-based optimization is subsequently performed by simultaneously observing the fracture section fitting and the dental occlusion condition. The proposed method was evaluated using jawbone data of 12 subjects with simulated and real mandibular fractures. Results showed that the optimized model achieved both accurate jawbone reduction and desired dental occlusion, which may not be possible by existing methods.

Indexed as

Mandibular FracturesAdultDental OcclusionFemaleHumansMaleMandibleProof of Concept StudySurgery, Computer-AssistedComputer-assisted surgical planningDental occlusionJawbone reductionMandibular fracture

Identifiers

PMID38332406
PMCPMC11574221

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.