Literature DB >> 28159480

Quantifying the effect of corrective surgery for trigonocephaly: A non-invasive, non-ionizing method using three-dimensional handheld scanning and statistical shape modelling.

Naiara Rodriguez-Florez1, Özge K Göktekin2, Jan L Bruse3, Alessandro Borghi2, Freida Angullia2, Paul G M Knoops2, Maik Tenhagen2, Justine L O'Hara4, Maarten J Koudstaal5, Silvia Schievano6, N U Owase Jeelani2, Greg James2, David J Dunaway2.   

Abstract

Trigonocephaly in patients with metopic synostosis is corrected by fronto-orbital remodelling (FOR). The aim of this study was to quantitatively assess aesthetic outcomes of FOR by capturing 3D forehead scans of metopic patients pre- and post-operatively and comparing them with controls. Ten single-suture metopic patients undergoing FOR and 15 age-matched non-craniosynostotic controls were recruited at Great Ormond Street Hospital for Children (UK). Scans were acquired with a three-dimensional (3D) handheld camera and post-processed combining 3D imaging software. 3D scans were first used for cephalometric measurements. Statistical shape modelling was then used to compute the 3D mean head shapes of the three groups (FOR pre-op, post-op and controls). Head shape variations were described via principal component analysis (PCA). Cephalometric measurements showed that FOR significantly increased the forehead volume and improved trigonocephaly. This improvement was supported visually by pre- and post-operative computed mean 3D shapes and numerically by PCA (p < 0.001). Compared with controls, post-operative scans showed flatter foreheads (p < 0.001). In conclusion, 3D scanning followed by 3D statistical shape modelling enabled the 3D comparison of forehead shapes of metopic patients and non-craniosynostotic controls, and demonstrated that the adopted FOR technique was successful in correcting bitemporal narrowing but overcorrected the rounding of the forehead.
Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  3D scanning/photography; Craniosynostosis; Fronto-orbital remodelling; Principal component analysis; Statistical shape analysis; Trigonocephaly

Mesh:

Year:  2017        PMID: 28159480     DOI: 10.1016/j.jcms.2017.01.002

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


  6 in total

1.  Quantification of Head Shape from Three-Dimensional Photography for Presurgical and Postsurgical Evaluation of Craniosynostosis.

Authors:  Antonio R Porras; Liyun Tu; Deki Tsering; Esperanza Mantilla; Albert Oh; Andinet Enquobahrie; Robert Keating; Gary F Rogers; Marius George Linguraru
Journal:  Plast Reconstr Surg       Date:  2019-12       Impact factor: 4.730

2.  Intracranial Volume Quantification from 3D Photography.

Authors:  Liyun Tu; Antonio R Porras; Scott Ensel; Deki Tsering; Beatriz Paniagua; Andinet Enquobahrie; Albert Oh; Robert Keating; Gary F Rogers; Marius George Linguraru
Journal:  Comput Assist Robot Endosc Clin Image Based Proced (2017)       Date:  2017-09-08

3.  Lack of association of cranial lacunae with intracranial hypertension in children with Crouzon syndrome and Apert syndrome: a 3D morphometric quantitative analysis.

Authors:  Ankita Mondal; Naiara Rodriguez-Florez; Justine O'Hara; Juling Ong; N U Owase Jeelani; David J Dunaway; Greg James
Journal:  Childs Nerv Syst       Date:  2019-01-19       Impact factor: 1.475

4.  Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty.

Authors:  Naiara Rodriguez-Florez; Jan L Bruse; Alessandro Borghi; Herman Vercruysse; Juling Ong; Greg James; Xavier Pennec; David J Dunaway; N U Owase Jeelani; Silvia Schievano
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-05-26       Impact factor: 2.924

5.  A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery.

Authors:  Paul G M Knoops; Athanasios Papaioannou; Alessandro Borghi; Richard W F Breakey; Alexander T Wilson; Owase Jeelani; Stefanos Zafeiriou; Derek Steinbacher; Bonnie L Padwa; David J Dunaway; Silvia Schievano
Journal:  Sci Rep       Date:  2019-09-19       Impact factor: 4.379

6.  The Postoperative Morphometrics of Orbital and Maxillary Area for Craniosynostosis.

Authors:  Lijun Shi; Weimin Shen; Qingwen Gao; Liangliang Kong
Journal:  J Craniofac Surg       Date:  2019-10       Impact factor: 1.046

  6 in total

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