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Restoring Mandibular Anatomy After Complex Trauma: Clinical Applications of a Statistical Shape Model

  • Stephen A.L.Y. Youssef*
  • , Cornelis Klop
  • , Juliana F. Sabelis
  • , Ruud Schreurs
  • , Jitske W. Nolte
  • , Renee Helmers
  • , Alfred G. Becking
  • , Leander Dubois
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Background/Objectives: Restoration of mandibular anatomy following complex trauma remains challenging when conventional anatomical and occlusal references, such as dental occlusion, contralateral morphology, condylar position, or mandibular continuity are lost. This technical note describes the clinical application of a mandibular statistical shape model as an alternative anatomical reference for diagnosis, virtual planning, and postoperative evaluation in patients with severe post-traumatic deformities.

Methods: The MAGIC-SSM, an open-source, age-, and sex-specific three-dimensional model derived from a normative population dataset, enables reconstruction of plausible mandibular geometry in the absence of residual landmarks. Three clinical cases were analyzed using MAGIC-SSM-based reference alignment, with distance mapping applied when indicated.

Results: The model provided an additional anatomical reference that supported decision-making in secondary correction, hybrid reconstruction with patient-specific implants, and quantitative evaluation of postoperative outcomes.

Conclusions: By replacing lost spatial references with population-based geometry, the MAGIC-SSM offered support for restoring mandibular form and symmetry. These preliminary findings illustrate the feasibility of applying the MAGIC-SSM as an anatomical framework in complex trauma when conventional guides are absent. As its clinical application involved clinician-guided alignment and scaling, reproducibility and reliability remain to be established and require further validation.

Original languageEnglish
Article number1223
Pages (from-to)1-11
Number of pages11
JournalJournal of Clinical Medicine
Volume15
Issue number3
Early online date4 Feb 2026
DOIs
Publication statusPublished - Feb 2026

Bibliographical note

Publisher Copyright:
© 2026 by the authors.

Keywords

  • computer-assisted surgery
  • mandibular reconstruction
  • maxillofacial injuries
  • patient-specific implants
  • statistical shape modeling
  • three-dimensional imaging
  • virtual surgical planning

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