Evidence map›Paper›PMID 40350426›Full record

ArticleHead & face medicine2025

Comparison of manual and virtual model surgery for wafer fabrication in maxillary repositioning: an in vitro study.

Junho Jung, Jongseok Shin, Joo-Young Ohe, Byung-Joon Choi

Abstract readComparative Study
In one paragraph

Article in Head & face medicine, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Junho Jung *Department of Oral & Maxillofacial Surgery, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea. ssa204@khu.ac.kr.
Jongseok Shin *Department of Oral & Maxillofacial Surgery, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea.
Joo-Young OheDepartment of Oral & Maxillofacial Surgery, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea.
Byung-Joon ChoiDepartment of Oral & Maxillofacial Surgery, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea.

Funding

National Research Foundation of Korea NRF-2021R1G1A1093360
6 · The paper itself

Abstract

backgroundThe aim of this study was to compare the accuracy of 3D-printed intermediate wafers (3DW) with conventionally made intermediate wafers (CW) fabricated through manual model surgery (MMS). This study was designed as an in vitro experiment focused on the Le Fort I osteotomy and maxillary repositioning process. It aims to achieve maxillary repositioning outcomes mediated by intermediate wafers while eliminating intraoperative errors. MATERIALS AND

methodsBoth MMS and virtual model surgery (VMS) were performed for each patient to fabricate CW and 3DW. Subsequently, the maxillomandibular dental casts were remounted on the articulator using the fabricated CW and 3DW, followed by digital scanning and superimposition. The midpoint of the right maxillary central incisor edge, the uppermost points of the right and left maxillary canines, and the mesiobuccal cusps of the right and left maxillary molars were used as measurement points. The points in VMS were set as references for comparison. Paired t-tests were conducted to compare the outcomes between CW and 3DW. Independent t-tests were used to analyze differences between groups with and without rotational movements. Additionally, Spearman's correlation analysis was performed to examine the relationship between the rotational movement of the maxilla and the corresponding coordinate differences.

resultsSignificant differences were observed in the transverse (p = 0.005), anteroposterior (p = 0.016), and vertical (p = 0.003) coordinates between the maxillary positions derived from CW and VMS. In MMS, the presence of roll movement significantly influenced transverse position (p = 0.002), pitch affected vertical position (p < 0.001), and yaw impacted transverse (p = 0.005) and vertical (p = 0.019) positions.

conclusion3DW demonstrated greater accuracy than MMS with CW. Especially in cases involving rotational maxillary movements such as roll, yaw, and pitch, it resulted in fewer errors compared to MMS with CW. Consequently, 3DW offers more precise recording of maxillary repositioning plan and contributes to the successful transfer of this plan into the surgical outcome in orthognathic surgery.

Indexed as

MaxillaOsteotomy, Le FortPrinting, Three-DimensionalSurgery, Computer-AssistedFemaleHumansIn Vitro TechniquesMaleModels, AnatomicModels, DentalManual model surgeryMaxillary repositioningOrthognathic surgeryVirtual model surgeryWafer fabrication

Identifiers

PMID40350426
PMCPMC12066060

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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.