Evidence map›Paper›PMID 41770438›Full record

ArticleAnnals of biomedical engineering2026

A Computational Framework for Simulating Patient-Specific TMJ Biomechanics Using a Combined Multibody Dynamics and Finite Element Approach.

Farhad Ahmadi, Shuchun Sun, Jichao Zhao, Jian Chen, Marshall B Wilson, Brooke Damon, Yongren Wu, Konstantinia Almpani, Rachel Chung, Priyam Jani and 5 more

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2026. 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

15 authors.

Farhad AhmadiClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Shuchun SunClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Jichao ZhaoClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Jian ChenClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Marshall B WilsonClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Brooke DamonClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Yongren WuClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Konstantinia AlmpaniCraniofacial Anomalies and Regeneration Section, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD, USA.
Rachel ChungCraniofacial Anomalies and Regeneration Section, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD, USA.
Priyam JaniCraniofacial Anomalies and Regeneration Section, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD, USA.
Peng ChenClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
Elizabeth H SlateDepartment of Statistics, Florida State University, Tallahassee, FL, USA.
Janice S LeeCraniofacial Anomalies and Regeneration Section, National Institute of Dental and Craniofacial Research (NIDCR), NIH, Bethesda, MD, USA.
Benedikt SaglCompetence Center Artificial Intelligence in Dentistry, University Clinic of Dentistry, Medical University of Vienna, Vienna, Austria. benedikt.sagl@meduniwien.ac.at.
Hai YaoClemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA. haiyao@clemson.edu.ORCID http://orcid.org/0000-0001-5130-5128

Funding

Tissue Structural and Neural Remodeling in Human Sacroiliac JointP20GM121342 · NIGMS · CLEMSON UNIVERSITY · PI Jeryl Jones · 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
The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
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
ATTRACT: Assessment of Temporomandibular JoinT MoRphology, Mechanics, And Mechanobiology in Class II and III Target and Surgical PhenotypesU01DE031512 · NIDCR · CLEMSON UNIVERSITY · PI Hai Yao · 2022 to 2026
$3.0M
TMJ SYMPHONY Systems-integrated model and mechanisms of patient-centered holistic outcomes and network-supported training and therapyR34DE033593 · NIDCR · CLEMSON UNIVERSITY · PI YAO, HAI · 2023 to 2023
$384k
NIBIB NIH HHS P41 EB031772NIDCR NIH HHS R01 DE021134NIDCR NIH HHS R01DE021134NIDCR NIH HHS R34 DE033593NIDCR NIH HHS R34DE033593NIDCR NIH HHS T32 DE017551NIDCR NIH HHS T32DE017551NIDCR NIH HHS U01 DE031512NIDCR NIH HHS U01DE031512NIGMS NIH HHS P20 GM121342NIGMS NIH HHS P20GM121342
6 · The paper itself

Abstract

purposeBiomechanical parameters of the temporomandibular joint (TMJ), such as joint contact forces and intra-articular stresses, are suggested to contribute to the development of temporomandibular joint disorders, but are impractical to measure. In this study, we present a computational framework for evaluating these parameters by integrating a function assessment system and a patient-specific modeling approach.

methodsThe pipeline consists of acquiring patients' functional and morphological data and developing combined multibody dynamics and finite-element (MBD-FE) models for simulating their specific biting tasks. We demonstrate the approach in a pre-/post-orthognathic surgery scenario and present the measured and simulated outputs.

resultsIn a three-patient cohort of one Class I control and two surgical patients (one Class II and one Class III patient), surgery was accompanied by functional changes such as increased bite force capacity and shifts in muscle-usage during unilateral first premolar clenching that brought the surgical cases closer to the control case. Also, morphological measurements showed postoperative adaptations in condylar size and joint space. Simulations demonstrated that contralateral joint forces exceeded ipsilateral forces during unilateral biting and predicted regions of concentrated disc stress that coincided with regions of reduced joint gap and poorer articular congruency, highlighting how morphology-function interactions shape local mechanics.

conclusionBy unifying individualized functional inputs and subject-specific geometries, the framework provides a practical basis for patient-tailored assessment of biomechanical parameters and decision support in TMJ care.

Indexed as

Models, BiologicalTemporomandibular JointAdultBiomechanical PhenomenaBite ForceComputer SimulationFemaleFinite Element AnalysisHumansMaleComputer simulationOrthognathic surgeryPatient-specific modelingTemporomandibular joint

Identifiers

PMID41770438
PMCPMC13063518

What Socratic holds

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LicenceCC BY
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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 Socratic graph.