Evidence map›Paper›PMID 30166225›Full record

ArticleJournal of biomechanics2018

Three-dimensional temporomandibular joint muscle attachment morphometry and its impacts on musculoskeletal modeling.

Xin She, Feng Wei, Brooke J Damon, Matthew C Coombs, Daniel G Lee, Michael K Lecholop, Thierry H Bacro, Martin B Steed, Naiquan Zheng, Xiaojing Chen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Xin SheDepartment of Bioengineering, Clemson University, Clemson, SC, USA.
Feng WeiDepartment of Bioengineering, Clemson University, Clemson, SC, USA.
Brooke J DamonDepartment of Bioengineering, Clemson University, Clemson, SC, USA; Department of Oral Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA.
Matthew C CoombsDepartment of Bioengineering, Clemson University, Clemson, SC, USA; Department of Oral Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA.
Daniel G LeeDepartment of Oral and Maxillofacial Surgery, MUSC, Charleston, SC, USA.
Michael K LecholopDepartment of Oral and Maxillofacial Surgery, MUSC, Charleston, SC, USA.
Thierry H BacroCenter for Anatomical Studies and Education, MUSC, Charleston, SC, USA.
Martin B SteedDepartment of Oral and Maxillofacial Surgery, MUSC, Charleston, SC, USA.
Naiquan ZhengDepartment of Mechanical Engineering and Center for Biomedical Engineering and Science, University of North Carolina at Charlotte, Charlotte, NC, USA.
Xiaojing ChenXiangya School of Stomatology, Central South University, Changsha, China.
Hai YaoDepartment of Bioengineering, Clemson University, Clemson, SC, USA; Department of Oral Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA. Electronic address: haiyao@clemson.edu.
Clemson University · USMedical University of South Carolina · USCentral South University · CNUniversity of North Carolina at Charlotte · US

Funding

Tissue Structural and Neural Remodeling in Human Sacroiliac JointP20GM121342 · NIGMS · CLEMSON UNIVERSITY · PI Peng Chen · 2018 to 2026
$24.7M
T-COHR: Training in Craniofacial and Oral Health ResearchT32DE017551 · NIDCR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI YAO, HAI · 2006 to 2025
$10.3M
Integrating craniofacial morphology, oral function, temporomandibular biomechanics and mechanobiology to determine sex-specific TMJ pathophysiology in humansR01DE021134 · NIDCR · CLEMSON UNIVERSITY · PI YAO, HAI · 2012 to 2025
$4.7M
Biophysical Modeling of Fluid and Solute Transport in the TMJ DiscR03DE018741 · NIDCR · CLEMSON UNIVERSITY · PI YAO, HAI · 2009 to 2010
$223k
Structure-function relationships between human temporomandibular lateral capsule-ligament complex tensile stiffness, collagen ultrastructure and ECM composition: Investigation of sexual dimorphismsF32DE027864 · NIDCR · CLEMSON UNIVERSITY · PI COOMBS, MATTHEW CHATTERJEE · 2018 to 2018
$40k
NIDCR NIH HHS F32 DE027864NIDCR NIH HHS R01 DE021134NIDCR NIH HHS R03 DE018741NIDCR NIH HHS T32 DE017551NIGMS NIH HHS P20 GM121342
6 · The paper itself

Abstract

In musculoskeletal models of the human temporomandibular joint (TMJ), muscles are typically represented by force vectors that connect approximate muscle origin and insertion centroids (centroid-to-centroid force vectors). This simplification assumes equivalent moment arms and muscle lengths for all fibers within a muscle even with complex geometry and may result in inaccurate estimations of muscle force and joint loading. The objectives of this study were to quantify the three-dimensional (3D) human TMJ muscle attachment morphometry and examine its impact on TMJ mechanics. 3D muscle attachment surfaces of temporalis, masseter, lateral pterygoid, and medial pterygoid muscles of human cadaveric heads were generated by co-registering measured attachment boundaries with underlying skull models created from cone-beam computerized tomography (CBCT) images. A bounding box technique was used to quantify 3D muscle attachment size, shape, location, and orientation. Musculoskeletal models of the mandible were then developed and validated to assess the impact of 3D muscle attachment morphometry on joint loading during jaw maximal open-close. The 3D morphometry revealed that muscle lengths and moment arms of temporalis and masseter muscles varied substantially among muscle fibers. The values calculated from the centroid-to-centroid model were significantly different from those calculated using the 'Distributed model', which considered crucial 3D muscle attachment morphometry. Consequently, joint loading was underestimated by more than 50% in the centroid-to-centroid model. Therefore, it is necessary to consider 3D muscle attachment morphometry, especially for muscles with broad attachments, in TMJ musculoskeletal models to precisely quantify the joint mechanical environment critical for understanding TMJ function and mechanobiology.

Indexed as

Imaging, Three-DimensionalModels, BiologicalAgedCone-Beam Computed TomographyHumansMaleMusclesTemporomandibular Joint3D morphometryMoment armMuscle attachmentMusculoskeletal modelingTemporomandibular joint

Identifiers

PMID30166225
PMCPMC6239209
OpenAlexW2888713023

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.