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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
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Stepwise Diagnostic Algorithm for Imaging of Mandibular and Maxillary Reconstruction.

Farahna Sabiq1, Griselda T Romero-Sanchez2, Kristina Ramirez-Garcia3

  • 1From the Division of Neuroradiology (F.S.), Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada farahna.sabiq@vch.ca.

AJNR. American Journal of Neuroradiology
|October 30, 2025
PubMed
Summary
This summary is machine-generated.

Postoperative imaging of mandibular and maxillary reconstruction aids radiologists in identifying complications. This guide helps interpret imaging findings for head and neck surgeons, ensuring accurate patient assessment.

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Area of Science:

  • Oral and Maxillofacial Surgery
  • Radiology
  • Head and Neck Surgery

Background:

  • Mandibular and maxillary reconstruction is crucial for oncologic resection, trauma, and congenital malformations.
  • Postoperative imaging evaluation of these reconstructions presents challenges for radiologists.
  • Accurate interpretation requires familiarity with expected imaging appearances and potential complications.

Purpose of the Study:

  • To present a stepwise diagnostic algorithm for imaging mandibular and maxillary reconstruction.
  • To describe expected imaging findings in successful reconstructions.
  • To review early and late postoperative and post-therapeutic complications.

Main Methods:

  • Development of a diagnostic imaging algorithm.
  • Description of imaging findings in successful reconstructions.
  • Review of common early and late complications.

Main Results:

  • A structured approach aids radiologists in evaluating complex reconstructions.
  • Key imaging features of successful reconstructions are detailed.
  • Common complications and their imaging characteristics are outlined.

Conclusions:

  • Radiologists require specialized knowledge for effective interpretation of mandibular and maxillary reconstructions.
  • The presented algorithm assists in accurate diagnosis and reporting.
  • Understanding expected findings and complications improves patient management by head and neck surgeons.