Evidence map›Paper›PMID 35183403›Full record

ArticleInternational journal of oral and maxillofacial surgery2022

Clinical feasibility evaluation of digital dental articulation for three-piece maxillary orthognathic surgery: a proof-of-concept study.

C J Frick, H H Deng, J D English, H B Jacob, T Kuang, M K Grissom, D Kim, J Gateno, J J Xia

Abstract read
In one paragraph

Article in International journal of oral and maxillofacial surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. [Research progress of digital occlusion setup in orthognathic surgery].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023
    Review
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

9 authors.

C J FrickDepartment of Orthodontics, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA; Orthodontics of Dental Corps, The United States Air Force, USA.
H H DengDepartment of Oral and Maxillofacial Surgery, Houston Methodist, Houston, TX, USA.
J D EnglishDepartment of Orthodontics, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA.
H B JacobDepartment of Orthodontics, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA.
T KuangDepartment of Oral and Maxillofacial Surgery, Houston Methodist, Houston, TX, USA.
M K GrissomDepartment of Orthodontics, The University of Texas Health Science Center at Houston School of Dentistry, Houston, TX, USA.
D KimDepartment of Oral and Maxillofacial Surgery, Houston Methodist, Houston, TX, USA.
J GatenoDepartment of Oral and Maxillofacial Surgery, Houston Methodist, Houston, TX, USA; Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, New York, NY, USA.
J J XiaDepartment of Oral and Maxillofacial Surgery, Houston Methodist, Houston, TX, USA; Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, New York, NY, USA. Electronic address: JXia@HoustonMethodist.org.

Funding

Outcome-Driven Approach to Minimize the Risks of Facial Distortion Following CMF SurgeryR01DE021863 · NIDCR · METHODIST HOSPITAL RESEARCH INSTITUTE · PI GATENO, JAIME · 2013 to 2025
$5.1M
A Novel Imaging Informatics Platform for Craniomaxillofacial SurgeryR01DE022676 · NIDCR · METHODIST HOSPITAL RESEARCH INSTITUTE · PI GATENO, JAIME · 2011 to 2020
$4.0M
Learning-Based Approach for Personalized Craniomaxillofacial Surgical PlanningR01DE027251 · NIDCR · METHODIST HOSPITAL RESEARCH INSTITUTE · PI GATENO, JAIME · 2017 to 2021
$2.9M
NIDCR NIH HHS R01 DE021863NIDCR NIH HHS R01 DE022676NIDCR NIH HHS R01 DE027251
6 · The paper itself

Abstract

Digital dental articulation for three-piece maxillary orthognathic surgery is challenging. The purpose of this proof-of-concept study was to evaluate the clinical feasibility of a newly developed mathematical algorithm to digitally establish the final occlusion for three-piece maxillary surgery. Five patients with jaw deformities who had undergone a three-piece double-jaw surgery that was planned virtually were randomly selected for this study. The final occlusion had been hand-articulated using stone casts, scanned into the computer and used in the surgery. These hand-articulated occlusions served as the control group. To form the experimental group, the three-piece maxillary dental arch was articulated again automatically from the patient's original occlusion using the mathematical algorithm. The hand- and algorithm-articulated occlusions were then evaluated qualitatively by two experienced orthodontists. A quantitative evaluation was also performed. The results of the qualitative evaluation showed that all of the three-piece occlusions, hand- and algorithm-articulated, were clinically acceptable based on the American Board of Orthodontics grading system. When compared, two of the algorithm-articulated occlusions were clearly better (40%), one was the same (20%), and two were slightly worse (40%) than the hand-articulated occlusions. All of the quantitative measurements were comparable between the two articulation methods. In conclusion, the results of this study demonstrate that it is clinically feasible to digitally articulate the three-piece maxillary arch to the intact mandibular dental arch.

Indexed as

Orthognathic SurgeryOrthognathic Surgical ProceduresFeasibility StudiesHumansMandibleMaxillaOsteotomy, Le FortAlgorithmscomputer-aided surgerydental occlusionFeasibility studiesLe Fort osteotomyorthognathic surgeryworkflow

Identifiers

PMID35183403
PMCPMC9253058

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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.