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

Panoramic radiographic analysis of primary tooth fusion and associated permanent successor anomalies in 2989 Chinese children: a retrospective epidemiological study.

BMC oral health·2026
Same author

Risk Factors for Survival in Pediatric Maxillofacial Rhabdomyosarcoma: A Single-Center Retrospective Cohort Study.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons·2026
Same author

Targeted therapy for Langerhans cell histiocytosis with maxillofacial involvement in 20 children.

Orphanet journal of rare diseases·2026
Same author

Intratumoral and peritumoral radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in rhabdomyosarcoma: a multicenter retrospective cohort study.

Insights into imaging·2026
Same author

Barriers to dental care and parental attitudes toward oral health in children with haemophilia: a cross-sectional study in China.

European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry·2026
Same author

Hypohyperodontia in a sample of Chinese population: a retrospective study.

BMC oral health·2025
Same journal

Correction: Komatsu et al. Three-Dimensional Visualization and Detection of the Pulmonary Venous-Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening. <i>Bioengineering</i> 2026, <i>13</i>, 100.

Bioengineering (Basel, Switzerland)·2026
Same journal

Comparison of CO<sub>2</sub> Laser and Microdebrider in the Surgical Treatment of Pediatric Recurrent Respiratory Papillomatosis: A Retrospective Analysis.

Bioengineering (Basel, Switzerland)·2026
Same journal

Toward More Translational Tumor Models: Breast dECM-Based 3D Systems Capture Native Microenvironmental Cues.

Bioengineering (Basel, Switzerland)·2026
Same journal

Postural Stability Changes During the 4 Phases of the Half Squat: Kinematics Profile of the Center of Pressure and Center of Mass in High-Performance Weightlifters-A Pilot Study.

Bioengineering (Basel, Switzerland)·2026
Same journal

Definite Implant Position as Novel Readout for Effectiveness of Ridge Preservation Indicates to Beneficial Effect of Combined Treatment with Platelet-Rich Fibrin (PRF) and Xenogenic Biomaterial in Bone Regeneration.

Bioengineering (Basel, Switzerland)·2026
Same journal

Trueness and Precision of Intraoral Scanners for 3D-Printed Orthodontic Models with Attachments: An In Vitro Comparative Study.

Bioengineering (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 3, 2025

Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques
07:16

Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques

Published on: October 20, 2023

1.4K

Midpalatal Suture CBCT Image Quantitive Characteristics Analysis Based on Machine Learning Algorithm Construction and

Lu Gao1, Zhiyu Chen2, Lin Zang3

  • 1Department of Stomatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.

Bioengineering (Basel, Switzerland)
|July 25, 2022
PubMed
Summary
This summary is machine-generated.

Midpalatal suture ossification status, crucial for assessing maxillary development, can be effectively evaluated using cone-beam computed tomography (CBCT) image features. Direct image analysis is recommended over age, particularly for individuals aged 13-14.

Keywords:
children and adolescents’ developmental statuscomputer-aided diagnosisdeep convolutional neural networkimage fusionmaxillary transverse deficiencymidpalatal suture maturation and ossification status

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
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

972

Related Experiment Videos

Last Updated: Sep 3, 2025

Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques
07:16

Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques

Published on: October 20, 2023

1.4K
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
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

972

Area of Science:

  • Dentofacial Orthopedics
  • Radiology
  • Artificial Intelligence in Medicine

Background:

  • Midpalatal suture maturation and ossification are key indicators for evaluating maxillary transverse development.
  • Accurate assessment of these features is vital for timely orthodontic and orthopedic interventions.

Purpose of the Study:

  • To develop and validate a convolutional neural network (CNN) model for predicting age-based midpalatal suture maturation using cone-beam computed tomography (CBCT).
  • To investigate the utility of CBCT image texture features for assessing midpalatal suture ossification status.

Main Methods:

  • A normalized CBCT database of 1006 scans from 690 participants (under 24 years) was established.
  • Image fusion and texture feature analysis algorithms were developed and optimized.
  • A CNN model was trained and tested for age range prediction based on midpalatal suture features.

Main Results:

  • Midpalatal suture fusion images provide comprehensive semantic information for maturation assessment during rapid growth.
  • Texture features, specifically correlation and homogeneity, showed the strongest relevance to chronological age.
  • The CNN model demonstrated satisfactory performance, particularly for age ranges 4-10 and 17-23 years, with reduced accuracy for the 13-14 year range.

Conclusions:

  • Image fusion effectively visualizes the midpalatal suture, aiding in comprehensive assessment.
  • Clinical decisions regarding maxillary transverse deficiency should prioritize direct midpalatal suture image features over chronological age, especially in the 13-14 year age group.