Literature DB >> 29548881

Assessing symmetry of zygomatic bone through three-dimensional segmentation on computed tomography scan and "mirroring" procedure: A contribution for reconstructive maxillofacial surgery.

Daniele Gibelli1, Michaela Cellina2, Stefano Gibelli3, Antonio Giancarlo Oliva2, Giovanni Termine3, Valentina Pucciarelli4, Claudia Dolci4, Chiarella Sforza4.   

Abstract

PURPOSE: Surgical reconstruction of zygomatic bones in cases of traumatic injuries is a frequent event: assessment of symmetry is mandatory for a correct restoration of zygomatic shape, but the literature is discordant about its quantification. The purpose of this study is to show a novel method for assessing symmetry of zygomatic bone through mirroring of 3D models segmented on CT-scan.
MATERIALS AND METHODS: A total of 100 patients (50 male and 50 female), divided into two age groups (18-49 years and 50-92 years) were selected from the computed tomography (CT) scan database of a hospital in northern Italy. Zygomatic bones from each patient were segmented, and the left bone was automatically mirrored and registered on the right one according to the least point-to-point distance between the two surfaces. The mean and root mean square (RMS) distance between the two models was then calculated. Statistically significant differences according to sex and age groups were assessed through two-way analysis of variance (p < 0.05). In addition, the effect size of differences was calculated.
RESULTS: The method proved to be repeatable, with inter- and intraoperator errors lower than 5%. Overall, mean and RMS point-to-point distances were respectively 0.01 mm and 0.84 mm, without statistically significant differences according to sex or age (p > 0.05), and with negligible effect size.
CONCLUSION: This study provides an innovative method for assessing the symmetry of the zygomatic bone based on surface analysis. Results may provide useful indications for the reconstruction of zygomatic bones in maxillofacial surgery.
Copyright © 2018 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D segmentation; Anatomy; CT scan; Maxillofacial surgery; Zygomatic bone

Mesh:

Year:  2018        PMID: 29548881     DOI: 10.1016/j.jcms.2018.02.012

Source DB:  PubMed          Journal:  J Craniomaxillofac Surg        ISSN: 1010-5182            Impact factor:   2.078


  12 in total

1.  Volumetric analysis of Non-contrast Magnetic Resonance Lymphangiography in patients affected by lower extremities primary lymphedema.

Authors:  Michaela Cellina; Daniele Gibelli; Chiara Floridi; Giancarlo Oliva
Journal:  Radiol Med       Date:  2019-12-17       Impact factor: 3.469

2.  Three-dimensional quantification of skeletal midfacial complex symmetry.

Authors:  Nermin Morgan; Sohaib Shujaat; Omid Jazil; Reinhilde Jacobs
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Review 3.  Segmentation procedures for the assessment of paranasal sinuses volumes.

Authors:  Michaela Cellina; Daniele Gibelli; Annalisa Cappella; Tahereh Toluian; Carlo Valenti Pittino; Martinenghi Carlo; Giancarlo Oliva
Journal:  Neuroradiol J       Date:  2020-08-06

4.  Automatic virtual reconstruction of maxillofacial bone defects assisted by ICP (iterative closest point) algorithm and normal people database.

Authors:  Bimeng Jie; Boxuan Han; Baocheng Yao; Yi Zhang; Hongen Liao; Yang He
Journal:  Clin Oral Investig       Date:  2021-09-25       Impact factor: 3.573

5.  A Novel Method for Quantitative Three-Dimensional Analysis of Zygomatico-Maxillary Complex Symmetry.

Authors:  W W B de Kort; W M M T van Hout; T C Ten Harkel; E M van Cann; A J W P Rosenberg
Journal:  J Craniofac Surg       Date:  2021-12-03       Impact factor: 1.172

6.  Computer guided resection and reconstruction of intra-osseous zygomatic hemangioma: Case report and systematic review of literature.

Authors:  Ahmed Talaat Temerek; Sherif Ali; Mohamed Farid Shehab
Journal:  Int J Surg Case Rep       Date:  2019-12-17

7.  Facial Reconstruction: A Systematic Review of Current Image Acquisition and Processing Techniques.

Authors:  Sam P Tarassoli; Matthew E Shield; Rhian S Allen; Zita M Jessop; Thomas D Dobbs; Iain S Whitaker
Journal:  Front Surg       Date:  2020-12-07

8.  MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.

Authors:  Dominik Müller; Frank Kramer
Journal:  BMC Med Imaging       Date:  2021-01-18       Impact factor: 1.930

9.  Automated 3D Analysis of Zygomaticomaxillary Fracture Rotation and Displacement.

Authors:  Shamit S Prabhu; Scotty A Chung; Megan A Rudolph; Kshipra Hemal; Philip J Brown; Christopher M Runyan
Journal:  Plast Reconstr Surg Glob Open       Date:  2021-10-25

10.  The role of PD-1/PD-L1 checkpoint in arsenic lung tumorigenesis.

Authors:  Wenhua Xu; Jiajun Cui; Linqing Wu; Caigu He; Gang Chen
Journal:  Toxicol Appl Pharmacol       Date:  2021-06-22       Impact factor: 4.460

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