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Updated: Jul 16, 2026
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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
Published on: January 28, 2020
Deep Learning-Assisted 3D Analysis of Coronoid Process Changes After Orthognathic Surgery.
Jacek Rożko1, Paweł Piotr Grab1, Michał Szałwiński1
1Department of Cranio-Maxillo-Facial Surgery, Military Institute of Medicine-National Research Institute, Szaserów 128, 04-141 Warsaw, Poland.
Journal of Clinical Medicine
|July 15, 2026
Summary
This study used AI to analyze 3D changes in the coronoid process (CP) after jaw surgery. Findings show varied, location-dependent remodeling of the CP, suggesting adaptation to new biomechanics.
Area of Science:
- Orthognathic surgery outcomes
- 3D craniofacial analysis
- Biomechanical adaptation
Background:
- Postoperative changes in the mandibular coronoid process (CP) after orthognathic surgery are not well understood.
- Previous analyses lacked detailed 3D characterization of CP remodeling and positional deviations.
Purpose of the Study:
- To evaluate qualitative and quantitative changes in the mandibular CP after bimaxillary orthognathic surgery.
- To utilize a novel deep learning-assisted 3D workflow for precise CP analysis.
Main Methods:
- Retrospective analysis of 75 patients (Class II and III malocclusions) with pre- and postoperative CT scans.
- AI-driven (nnU-Net) automatic segmentation and 3D reconstruction of the CP.
- Qualitative (displacement, surface heatmaps) and quantitative (volumetry, apposition/resorption balance) assessments.
Main Results:
- Medial CP displacement was common, especially in Class III patients.
- Consistent, location-dependent remodeling: apposition on lateral/medial surfaces, resorption on the anterior border.
- Overall positive remodeling balance with significant inter-individual variability.
Conclusions:
- AI-assisted 3D analysis provides reproducible assessment of CP remodeling post-orthognathic surgery.
- CP remodeling is heterogeneous, location-specific, and highly variable between patients.
- Observed patterns suggest adaptive responses to altered biomechanics, requiring further mechanistic study.
