Literature DB >> 24182581

Comparison of soft-tissue profiles in Le Fort I osteotomy patients with Dolphin and Maxilim softwares.

Nasser Nadjmi1, Azita Tehranchi, Niloufar Azami, Bahram Saedi, Wouter Mollemans.   

Abstract

INTRODUCTION: To correct dentofacial deformities, a combination of orthodontic treatment and orthognathic surgery is needed. Prediction software packages are beneficial in treatment planning and achieving improved outcomes, but before using any software, its reliability and reproducibility must be assessed. The aim of this study was to evaluate the accuracy of 2-dimensional Dolphin (version 10; Dolphin Imaging & Management Solutions, Chatsworth, Calif) and 3-dimensional Maxilim (Medicim, Sint-Niklaas, Belgium) softwares in predicting the soft-tissue profiles of patients who had Le Fort I osteotomies.
METHODS: The presurgical and postsurgical cone-beam computed tomography synthesized lateral cephalograms of 13 patients were collected. Using the Dolphin and Maxilim softwares, the postsurgical profiles were predicted. The positions of the soft-tissue landmarks in profile views were compared with landmarks in the postsurgical photographs. The data were analyzed with the coefficient of reliability and paired-sample t tests.
RESULTS: The alpha values of the interclass correlations for each landmark in the x and y planes were between 0.96 and 0.99, except for stomion superior in Maxilim (0.83). The 95% confidence interval and the absolute mean of the error showed that errors in the Dolphin software were greater than those in the Maxilim software, but the differences were not significant (P >0.05), except for soft-tissue A-point. The greatest errors were seen in the chin region. The prediction errors of the nasolabial and mentolabial angles were greater; the prediction error in the Dolphin software was 9°, which has clinical significance.
CONCLUSIONS: The Dolphin and Maxilim softwares are both appropriate for clinical use. Their inaccuracies in the prediction of the chin region should be considered in complicated surgical planning.
Copyright © 2013 American Association of Orthodontists. Published by Mosby, Inc. All rights reserved.

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Year:  2013        PMID: 24182581     DOI: 10.1016/j.ajodo.2013.06.019

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  6 in total

1.  Predicting soft tissue changes after orthognathic surgery: The sparse partial least squares method.

Authors:  Hee-Yeon Suh; Ho-Jin Lee; Yun-Sic Lee; Soo-Heang Eo; Richard E Donatelli; Shin-Jae Lee
Journal:  Angle Orthod       Date:  2019-05-31       Impact factor: 2.079

2.  Accuracy of two-dimensional pharyngeal airway space prediction for bimaxillary orthognathic surgery.

Authors:  Amanda Lury Yamashita; Lilian Cristina Vessoni Iwaki; Gustavo Nascimento de Souza Pinto; Bárbara Aline Gerke; Mariliani Chicarelli; Liogi Iwaki Filho
Journal:  Oral Maxillofac Surg       Date:  2018-04-05

3.  The Prediction Capacity 3-D Software, on a 2-D Analysis, in Planning the Positioning of the Upper Lip After Maxillary Advancement.

Authors:  Letícia Liana Chihara; Jéssica de Fátima Segantin; Paulo Esteves Pinto Faria; Eduardo Sant'Ana; Eduardo Dias-Ribeiro; Renato Luiz Maia Nogueira; Osny Ferreira-Júnior
Journal:  Craniomaxillofac Trauma Reconstr       Date:  2020-02-20

4.  Accuracy of Soft Tissue Prediction of 2 Virtual Planning Systems in Patients Undergoing Intraoral Quadrangular Le Fort II Osteotomy.

Authors:  Katrin Willinger; Godoberto Guevara-Rojas; Julia Cede; Kurt Schicho; Tanja Stamm; Clemens Klug
Journal:  Plast Reconstr Surg Glob Open       Date:  2021-02-01

5.  Three-Dimensional Evaluation of Soft Tissue Malar Modifications after Zygomatic Valgization Osteotomy via Geometrical Descriptors.

Authors:  Elena Carlotta Olivetti; Federica Marcolin; Sandro Moos; Alberto Ferrando; Enrico Vezzetti; Umberto Autorino; Claudia Borbon; Emanuele Zavattero; Giovanni Gerbino; Guglielmo Ramieri
Journal:  J Pers Med       Date:  2021-03-13

6.  Comparison of soft tissue simulations between two planning software programs for orthognathic surgery.

Authors:  Ali Modabber; Tanja Baron; Florian Peters; Kristian Kniha; Golamreza Danesh; Frank Hölzle; Nassim Ayoub; Stephan Christian Möhlhenrich
Journal:  Sci Rep       Date:  2022-03-23       Impact factor: 4.379

  6 in total

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