Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prevalence of Sarcopenia-Related Muscle-Health Phenotypes in Patients With Severe Mental Illness: A Systematic Review and Meta-Analysis.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry·2026
Same author

Efficacy of exercise interventions in multiple myeloma: a systematic review and meta-analysis.

Journal of cancer survivorship : research and practice·2026
Same author

Loneliness in patients with cancer: Associations with perceived social support, functional Independence, and psychological distress in a cross-sectional study.

Journal of psychosomatic research·2026
Same author

Verbal memory performance in alcohol-cocaine versus alcohol use disorder: selective impairment in delayed free recall.

Alcohol and alcoholism (Oxford, Oxfordshire)·2026
Same author

The Clinical Staging Model in Psychosis: a Cross-Disciplinary Critical Appraisal Informed by Oncology.

Schizophrenia bulletin·2026
Same author

Premorbid adjustment problems, negative symptoms, and cognitive impairment in a large international sample at clinical high risk for psychosis: Findings from the Accelerating Medicines Partnership-Schizophrenia.

Schizophrenia bulletin·2026

Related Experiment Video

Updated: Oct 16, 2025

Treatment of Facial Deformities using 3D Planning and Printing of Patient-Specific Implants
07:11

Treatment of Facial Deformities using 3D Planning and Printing of Patient-Specific Implants

Published on: May 23, 2020

7.6K

Soft-Tissue Simulation for Computational Planning of Orthognathic Surgery.

Patricia Alcañiz1,2, Jesús Pérez1, Alessandro Gutiérrez3

  • 1Department of Computer Science, Universidad Rey Juan Carlos, 28933 Madrid, Spain.

Journal of Personalized Medicine
|October 23, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new simulation method for orthognathic surgery planning. It significantly reduces setup time and computation, offering clinically accurate results quickly.

Keywords:
finite-element modelorthognathic surgerysoft-tissue simulationsurgical planning

More Related Videos

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.9K
3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

6.7K

Related Experiment Videos

Last Updated: Oct 16, 2025

Treatment of Facial Deformities using 3D Planning and Printing of Patient-Specific Implants
07:11

Treatment of Facial Deformities using 3D Planning and Printing of Patient-Specific Implants

Published on: May 23, 2020

7.6K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.9K
3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

6.7K

Area of Science:

  • Biomedical Engineering
  • Medical Simulation
  • Computational Surgery

Background:

  • Current orthognathic surgery simulation methods are time-consuming.
  • Existing models require complex setup and long computation times.

Purpose of the Study:

  • To develop a holistic modeling and simulation methodology for orthognathic surgery.
  • To simplify model setup and reduce runtime computations.

Main Methods:

  • A novel methodology coupling rigid-bone and soft-tissue facial components was developed.
  • The approach focuses on creating computationally efficient yet accurate models.

Main Results:

  • The simulation methodology was validated on 10 orthognathic surgery patients.
  • Planning computation times were under 10 seconds with clinically viable accuracy.

Conclusions:

  • The proposed method allows for coarse simulation meshes.
  • This approach offers a faster and accurate alternative for orthognathic surgery planning.