Asian Journal of Surgery (Dec 2023)

Segmentation of the 3D printed mirror image auricular model to ease sculpture of the costal cartilages in total auricular aesthetic reconstruction

  • Eman Nagy Mohamed,
  • Ahmed Elshahat,
  • Hossam El-Dien Hany,
  • Fady Rezk Shafik,
  • Riham Lashin

Journal volume & issue
Vol. 46, no. 12
pp. 5429 – 5437

Abstract

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Background: Recently, three-dimensional (3D) models have been used more frequently than the traditional two-dimensional (2D) models as an intraoperative guide to ease sculpture of costal cartilages in total auricular aesthetic reconstruction in cases of microtia. Usually, 3D imaging techniques are used to create compact ear models, however, there is insufficient clinical knowledge of using them to create segmented 3D auricular models for cartilage framework reconstruction. In this study: assessment of the advantages of segmentation of 3D models over the traditional compact 3D models in total auricular aesthetic reconstruction has been discussed. Patients and methods: In the current study, 16 patients who underwent total auricular aesthetic reconstruction using 3D models were included, patients were divided into two groups (Group I, 8 patients had total auricular aesthetic reconstruction using compact 3D printed mirror image model). Whereas (Group II, 8 patients had total auricular aesthetic reconstruction using segmented 3D printed mirror image model into auricular subunits. Then, each subunit was used for reconstruction of the corresponding part of the auricle. In both groups the patient's unaffected ear was mirrored and used as a reference to reconstruct the affected side. Results: The results were evaluated in both groups. The overall operative and carving times were found to be less in Group II; Also, postoperative aesthetic outcome and patient satisfaction were favorable in this group. Conclusion: Using segmentation of 3D printed models in total auricular aesthetic reconstruction had less intraoperative time, better aesthetic results, and high postoperative patient satisfaction.

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