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Evaluation of accuracy for prediction of soft tissue profile changes in non-growing patients undergoing orthodontic treatment using cephalometric android application. | EAI Endorsed Transactions on Mobile Communications and Applications
<!DOCTYPE html> <html lang="en-US" xml:lang="en-US"> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title> Evaluation of accuracy for prediction of soft tissue profile changes in non-growing patients undergoing orthodontic treatment using cephalometric android application. | EAI Endorsed Transactions on Mobile Communications and Applications </title> <link rel="icon" href="https://publications.eai.eu/public/journals/13/favicon_en_US.png"> <meta name="generator" content="Open Journal Systems 3.3.0.18"> <link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" /> <meta name="DC.Creator.PersonalName" content="Rushabh Shah"/> <meta name="DC.Creator.PersonalName" content="Sachin Durkar"/> <meta name="DC.Creator.PersonalName" content="Sonali Deshmukh"/> <meta name="DC.Creator.PersonalName" content="Jayesh Rahalkar"/> <meta name="DC.Date.created" scheme="ISO8601" content="2024-07-29"/> <meta name="DC.Date.dateSubmitted" scheme="ISO8601" content="2023-08-07"/> <meta name="DC.Date.issued" scheme="ISO8601" content="2023-10-23"/> <meta name="DC.Date.modified" scheme="ISO8601" content="2024-07-29"/> <meta name="DC.Description" xml:lang="en" content="INTRODUCTION: An accurate prediction in soft tissue changes is of great importance for orthodontic treatment planning. Patients find it difficult to imagine how their facial appearance may change after orthodontic treatment without a visual reference. Predicting the postoperative facial appearance may thus be useful for managing expectations, easing communication, and researching different treatment choices. Computer-assisted programs are still relatively expensive and are not portable in comparison to smartphones, and the accuracy of soft tissue profile prediction of these android applications has not been thoroughly assessed. The purpose of the study is to assess how well the Webceph cephalometric Android application predicts changes in soft tissue profile following orthodontic treatment.MATERIALS AND METHOD: A total of 50 patients were screened for eligibility, and 24 young adult patients (8 males, 16 females; mean age 24.8 ±3.9 years) were finally included in the study based on the inclusion and exclusion criteria. The landmarks and parameters of the Legan and Burstone soft tissue analysis were used for the cephalometric analyses. The cephalometric tracings of the actual treatment result and the Webceph predicted treatment outcome was superimposed to calculate the prediction errors. Paired t-test used to compare the statistical differences between the predicted and actual treatment outcomes of the parameters used in the legan and burstone soft tissue analysis.RESULTS: There were significant differences between the predicted and actual values in parameters of legan and burstone soft tissue analysis (P\0.05). It was reported that the prediction in two parameters (i.e., Lower face throat (Sn-Gn-C angle) (Cm-sn-ls) Nasolabial angle) was a significant difference from the actual modifications in class I bimaxillary protrusion group and there were substantial changes in the prediction of two characteristics (facial convexity (G-Sn-Pg angle) and inter labial (Stms-Stmi) in the class II group.CONCLUSIONS: The Webceph VTO prediction in soft tissue changes after the orthodontic treatment in patients with bimaxillary protrusion and class II malocclusion is the most accurate for the nasolabial angle and the least accurate for the mandibular prognathism parameter."/> <meta name="DC.Format" scheme="IMT" content="application/pdf"/> <meta name="DC.Identifier" content="3686"/> <meta name="DC.Identifier.DOI" content="10.4108/eetmca.3686"/> <meta name="DC.Identifier.URI" content="https://publications.eai.eu/index.php/mca/article/view/3686"/> <meta name="DC.Language" scheme="ISO639-1" content="en"/> <meta name="DC.Rights" content="Copyright (c) 2023 EAI Endorsed Transactions on Mobile Communications and Applications"/> <meta name="DC.Rights" content="https://creativecommons.org/licenses/by/3.0/"/> <meta name="DC.Source" content="EAI Endorsed Transactions on Mobile Communications and Applications"/> <meta name="DC.Source.ISSN" content="2032-9504"/> <meta name="DC.Source.Volume" content="8"/> <meta name="DC.Source.URI" content="https://publications.eai.eu/index.php/mca"/> <meta name="DC.Subject" xml:lang="en" content="Webceph cephalometric software, soft tissue prediction, VTO prediction, class I malocclusion, class II malocclusion"/> <meta name="DC.Title" content="Evaluation of accuracy for prediction of soft tissue profile changes in non-growing patients undergoing orthodontic treatment using cephalometric android application."/> <meta name="DC.Type" content="Text.Serial.Journal"/> <meta name="DC.Type.articleType" content="Research article"/> <meta name="gs_meta_revision" content="1.1"/> <meta name="citation_journal_title" content="EAI Endorsed Transactions on Mobile Communications and Applications"/> <meta name="citation_journal_abbrev" content="EAI Endorsed Trans Mob Com Appl"/> <meta name="citation_issn" content="2032-9504"/> <meta name="citation_author" content="Rushabh Shah"/> <meta name="citation_author_institution" content="Dr D Y Patil Dental College & Hospital "/> <meta name="citation_author" content="Sachin Durkar"/> <meta name="citation_author_institution" content="Dr D Y Patil Dental College & Hospital"/> <meta name="citation_author" content="Sonali Deshmukh"/> <meta name="citation_author_institution" content="Dr D Y Patil Dental College & Hospital"/> <meta name="citation_author" content="Jayesh Rahalkar"/> <meta name="citation_author_institution" content="Dr D Y Patil Dental College & Hospital"/> <meta name="citation_title" content="Evaluation of accuracy for prediction of soft tissue profile changes in non-growing patients undergoing orthodontic treatment using cephalometric android application."/> <meta name="citation_language" content="en"/> <meta name="citation_date" content="2023"/> <meta name="citation_volume" content="8"/> <meta name="citation_doi" content="10.4108/eetmca.3686"/> <meta name="citation_abstract_html_url" content="https://publications.eai.eu/index.php/mca/article/view/3686"/> <meta name="citation_keywords" xml:lang="en" content="Webceph cephalometric software, soft tissue prediction, VTO prediction, class I malocclusion, class II malocclusion"/> <meta name="citation_pdf_url" content="https://publications.eai.eu/index.php/mca/article/download/3686/3307"/> <meta name="citation_reference" content="Accuracy of Orthodontic Soft Tissue Prediction Software between Different Ethnicities Pranali Patel. :1–21."/> <meta name="citation_reference" content="Almurtadha RH, Alhammadi MS, Fayed MMS, Abou-El-Ezz A, Halboub E. Changes in Soft Tissue Profile After Orthodontic Treatment With and Without Extraction: A Systematic Review and Meta-analysis. J Evid Based Dent Pract [Internet]. 2018;18(3):193–202."/> <meta name="citation_reference" content="Demir A, Uysal T, Sari Z, Basciftci FA. Effects of camouflage treatment on dentofacial structures in Class II division 1 mandibular retrognathic patients. Eur J Orthod. 2005;27(5):524–31."/> <meta name="citation_reference" content="Maetevorakul S, Viteporn S. Factors influencing soft tissue profile changes following orthodontic treatment in patients with class ii division 1 malocclusion. Prog Orthod [Internet]. 2016;17(1):1–8."/> <meta name="citation_reference" content="Shirvani A, Sadeghian S, Abbasi S. Prediction of lip response to orthodontic treatment using a multivariable regression model. Dent Res J (Isfahan). 2016;13(1):38–45."/> <meta name="citation_reference" content="Singh RN. Changes in the soft tissue chin after orthodontic treatment. Am J Orthod Dentofac Orthop. 1990;98(1):41–6."/> <meta name="citation_reference" content="Zhang X, Mei L, Yan X, Wei J, Li Y, Li H, et al. Accuracy of computer-aided prediction in soft tissue changes after orthodontic treatment. Am J Orthod Dentofac Orthop. 2019;156(6):823–31."/> <meta name="citation_reference" content="Lu CH, Ko EWC, Huang CS. The accuracy of video imaging prediction in soft tissue outcome after bimaxillary orthognathic surgery. J Oral Maxillofac Surg. 2003;61(3):333–42."/> <meta name="citation_reference" content="Magro-Filho O, Magro-Érnica N, Queiroz TP, Aranega AM, Garcia IR. Comparative study of 2 software programs for predicting profile changes in Class III patients having double-jaw orthognathic surgery. Am J Orthod Dentofac Orthop. 2010;137(4):452.e1-452.e5."/> <meta name="citation_reference" content="Konstiantos KA, O’Reilly MT, Close J. The validity of the prediction of soft tissue profile changes after LeFort I osteotomy using the dentofacial planner (computer software). Am J Orthod Dentofac Orthop. 1994;105(3):241–9."/> <meta name="citation_reference" content="De Lira ADLS, De Moura WL, Artese F, Bittencourt MAV, Nojima LI. Surgical prediction of skeletal and soft tissue changes in treatment of Class II. J Cranio-Maxillofacial Surg [Internet]. 2013;41(3):198–203"/> <meta name="citation_reference" content="Hodges A, Rossouw PE, Campbell PM, Boley JC, Alexander RA, Buschang PH. Prediction of lip response to four first premolar extractions in white female adolescents and adults. Angle Orthod. 2009;79(3):413–21."/> <meta name="og:site_name" content="EAI Endorsed Transactions on Mobile Communications and Applications"/> <meta name="og:type" content="article"/> <meta name="og:title" content="Evaluation of accuracy for prediction of soft tissue profile changes in non-growing patients undergoing orthodontic treatment using cephalometric android application."/> <meta name="og:description" content=" INTRODUCTION: An accurate prediction in soft tissue changes is of great importance for orthodontic treatment planning. Patients find it difficult to imagine how their facial appearance may change after orthodontic treatment without a visual reference. Predicting the postoperative facial appearance may thus be useful for managing expectations, easing communication, and researching different treatment choices. Computer-assisted programs are still relatively expensive and are not portable in comparison to smartphones, and the accuracy of soft tissue profile prediction of these android applications has not been thoroughly assessed. The purpose of the study is to assess how well the Webceph cephalometric Android application predicts changes in soft tissue profile following orthodontic treatment. MATERIALS AND METHOD: A total of 50 patients were screened for eligibility, and 24 young adult patients (8 males, 16 females; mean age 24.8 ±3.9 years) were finally included in the study based on the inclusion and exclusion criteria. The landmarks and parameters of the Legan and Burstone soft tissue analysis were used for the cephalometric analyses. The cephalometric tracings of the actual treatment result and the Webceph predicted treatment outcome was superimposed to calculate the prediction errors. Paired t-test used to compare the statistical differences between the predicted and actual treatment outcomes of the parameters used in the legan and burstone soft tissue analysis. RESULTS: There were significant differences between the predicted and actual values in parameters of legan and burstone soft tissue analysis (P\0.05). It was reported that the prediction in two parameters (i.e., Lower face throat (Sn-Gn-C angle) (Cm-sn-ls) Nasolabial angle) was a significant difference from the actual modifications in class I bimaxillary protrusion group and there were substantial changes in the prediction of two characteristics (facial convexity (G-Sn-Pg angle) and inter labial (Stms-Stmi) in the class II group. CONCLUSIONS: The Webceph VTO prediction in soft tissue changes after the orthodontic treatment in patients with bimaxillary protrusion and class II malocclusion is the most accurate for the nasolabial angle and the least accurate for the mandibular prognathism parameter. 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class="row"> <div class="main_entry"> <section class="item authors"> <h2 class="pkp_screen_reader">Authors</h2> <ul class="authors"> <li> <span class="name"> Rushabh Shah </span> <span class="affiliation"> Dr D Y Patil Dental College & Hospital <a href="https://ror.org/05watjs66"><?xml version="1.0" encoding="UTF-8" standalone="no"?> <!-- Generator: Adobe Illustrator 23.0.1, SVG Export Plug-In . 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Patients find it difficult to imagine how their facial appearance may change after orthodontic treatment without a visual reference. Predicting the postoperative facial appearance may thus be useful for managing expectations, easing communication, and researching different treatment choices. Computer-assisted programs are still relatively expensive and are not portable in comparison to smartphones, and the accuracy of soft tissue profile prediction of these android applications has not been thoroughly assessed. The purpose of the study is to assess how well the Webceph cephalometric Android application predicts changes in soft tissue profile following orthodontic treatment.</p><p>MATERIALS AND METHOD: A total of 50 patients were screened for eligibility, and 24 young adult patients (8 males, 16 females; mean age 24.8 ±3.9 years) were finally included in the study based on the inclusion and exclusion criteria. The landmarks and parameters of the Legan and Burstone soft tissue analysis were used for the cephalometric analyses. The cephalometric tracings of the actual treatment result and the Webceph predicted treatment outcome was superimposed to calculate the prediction errors. Paired t-test used to compare the statistical differences between the predicted and actual treatment outcomes of the parameters used in the legan and burstone soft tissue analysis.</p><p>RESULTS: There were significant differences between the predicted and actual values in parameters of legan and burstone soft tissue analysis (P\0.05). It was reported that the prediction in two parameters (i.e., Lower face throat (Sn-Gn-C angle) (Cm-sn-ls) Nasolabial angle) was a significant difference from the actual modifications in class I bimaxillary protrusion group and there were substantial changes in the prediction of two characteristics (facial convexity (G-Sn-Pg angle) and inter labial (Stms-Stmi) in the class II group.</p><p>CONCLUSIONS: The Webceph VTO prediction in soft tissue changes after the orthodontic treatment in patients with bimaxillary protrusion and class II malocclusion is the most accurate for the nasolabial angle and the least accurate for the mandibular prognathism parameter.</p> </section> <div class="item downloads_chart"> <h3 class="label"> Metrics </h3> <div id="paperbuzz"><div id="loading">Metrics Loading ...</div></div> <script type="text/javascript"> window.onload = function () { var options = { paperbuzzStatsJson: JSON.parse('{\"altmetrics_sources\":[],\"crossref_event_data_url\":\"https:\\/\\/api.eventdata.crossref.org\\/v1\\/events?rows=1000&filter=from-collected-date:1990-01-01,until-collected-date:2099-01-01,obj-id:10.4108\\/eetmca.3686\",\"doi\":\"10.4108\\/eetmca.3686\",\"metadata\":{\"DOI\":\"10.4108\\/eetmca.3686\",\"ISSN\":[\"2032-9504\"],\"URL\":\"http:\\/\\/dx.doi.org\\/10.4108\\/eetmca.3686\",\"abstract\":\"<jats:p>INTRODUCTION: An accurate prediction in soft tissue changes is of great importance for orthodontic treatment planning. Patients find it difficult to imagine how their facial appearance may change after orthodontic treatment without a visual reference. Predicting the postoperative facial appearance may thus be useful for managing expectations, easing communication, and researching different treatment choices. Computer-assisted programs are still relatively expensive and are not portable in comparison to smartphones, and the accuracy of soft tissue profile prediction of these android applications has not been thoroughly assessed. The purpose of the study is to assess how well the Webceph cephalometric Android application predicts changes in soft tissue profile following orthodontic treatment.MATERIALS AND METHOD: A total of 50 patients were screened for eligibility, and 24 young adult patients (8 males, 16 females; mean age 24.8 \\u00b13.9 years) were finally included in the study based on the inclusion and exclusion criteria. The landmarks and parameters of the Legan and Burstone soft tissue analysis were used for the cephalometric analyses. The cephalometric tracings of the actual treatment result and the Webceph predicted treatment outcome was superimposed to calculate the prediction errors. Paired t-test used to compare the statistical differences between the predicted and actual treatment outcomes of the parameters used in the legan and burstone soft tissue analysis.RESULTS: There were significant differences between the predicted and actual values in parameters of legan and burstone soft tissue analysis (P\\\\0.05). It was reported that the prediction in two parameters (i.e., Lower face throat (Sn-Gn-C angle) (Cm-sn-ls) Nasolabial angle) was a significant difference from the actual modifications in class I bimaxillary protrusion group and there were substantial changes in the prediction of two characteristics (facial convexity (G-Sn-Pg angle) and inter labial (Stms-Stmi) in the class II group.CONCLUSIONS: The Webceph VTO prediction in soft tissue changes after the orthodontic treatment in patients with bimaxillary protrusion and class II malocclusion is the most accurate for the nasolabial angle and the least accurate for the mandibular prognathism 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application.\",\"updated\":\"2024-08-16T12:15:03.609524\",\"year\":2024,\"z_authors\":[{\"family\":\"Shah\",\"given\":\"Rushabh\",\"sequence\":\"first\"},{\"family\":\"Durkar\",\"given\":\"Sachin\",\"sequence\":\"additional\"},{\"family\":\"Deshmukh\",\"given\":\"Sonali\",\"sequence\":\"additional\"},{\"family\":\"Rahalkar\",\"given\":\"Jayesh\",\"sequence\":\"additional\"}]}}'), minItemsToShowGraph: { minEventsForYearly: 10, minEventsForMonthly: 10, minEventsForDaily: 6, minYearsForYearly: 3, minMonthsForMonthly: 2, minDaysForDaily: 1 //first 30 days only }, graphheight: 150, graphwidth: 300, showTitle: false, showMini: false, published_date: [2024, 7, 29], } var paperbuzzviz = undefined; paperbuzzviz = new PaperbuzzViz(options); paperbuzzviz.initViz(); } </script> </div> <!-- Plum Analytics --> <a href="https://plu.mx/plum/a/?doi=10.4108/eetmca.3686" class="plumx-summary" data-hide-when-empty="true" data-orientation="horizontal" ></a> <!-- /Plum Analytics --> <section class="item author_bios"> <h2 class="label"> Author Biographies </h2> <section class="sub_item"> <h3 class="label"> Sachin Durkar, <span class="affiliation">Dr D Y Patil Dental College & Hospital</span> </h3> <div class="value"> <p> </p> <p> </p> </div> </section> <section class="sub_item"> <h3 class="label"> Sonali Deshmukh, <span class="affiliation">Dr D Y Patil Dental College & Hospital</span> </h3> <div class="value"> <p> </p> <p> </p> </div> </section> <section class="sub_item"> <h3 class="label"> Jayesh Rahalkar, <span class="affiliation">Dr D Y Patil Dental College & Hospital</span> </h3> <div class="value"> <p> </p> <p> </p> </div> </section> </section> <section class="item references"> <h2 class="label"> References </h2> <div class="value"> <p>Accuracy of Orthodontic Soft Tissue Prediction Software between Different Ethnicities Pranali Patel. :1–21. </p> <p>Almurtadha RH, Alhammadi MS, Fayed MMS, Abou-El-Ezz A, Halboub E. Changes in Soft Tissue Profile After Orthodontic Treatment With and Without Extraction: A Systematic Review and Meta-analysis. J Evid Based Dent Pract [Internet]. 2018;18(3):193–202. </p> <p>Demir A, Uysal T, Sari Z, Basciftci FA. Effects of camouflage treatment on dentofacial structures in Class II division 1 mandibular retrognathic patients. Eur J Orthod. 2005;27(5):524–31. </p> <p>Maetevorakul S, Viteporn S. Factors influencing soft tissue profile changes following orthodontic treatment in patients with class ii division 1 malocclusion. Prog Orthod [Internet]. 2016;17(1):1–8. </p> <p>Shirvani A, Sadeghian S, Abbasi S. Prediction of lip response to orthodontic treatment using a multivariable regression model. Dent Res J (Isfahan). 2016;13(1):38–45. </p> <p>Singh RN. Changes in the soft tissue chin after orthodontic treatment. Am J Orthod Dentofac Orthop. 1990;98(1):41–6. </p> <p>Zhang X, Mei L, Yan X, Wei J, Li Y, Li H, et al. Accuracy of computer-aided prediction in soft tissue changes after orthodontic treatment. Am J Orthod Dentofac Orthop. 2019;156(6):823–31. </p> <p>Lu CH, Ko EWC, Huang CS. The accuracy of video imaging prediction in soft tissue outcome after bimaxillary orthognathic surgery. J Oral Maxillofac Surg. 2003;61(3):333–42. </p> <p>Magro-Filho O, Magro-Érnica N, Queiroz TP, Aranega AM, Garcia IR. Comparative study of 2 software programs for predicting profile changes in Class III patients having double-jaw orthognathic surgery. Am J Orthod Dentofac Orthop. 2010;137(4):452.e1-452.e5. </p> <p>Konstiantos KA, O’Reilly MT, Close J. The validity of the prediction of soft tissue profile changes after LeFort I osteotomy using the dentofacial planner (computer software). Am J Orthod Dentofac Orthop. 1994;105(3):241–9. </p> <p>De Lira ADLS, De Moura WL, Artese F, Bittencourt MAV, Nojima LI. Surgical prediction of skeletal and soft tissue changes in treatment of Class II. J Cranio-Maxillofacial Surg [Internet]. 2013;41(3):198–203 </p> <p>Hodges A, Rossouw PE, Campbell PM, Boley JC, Alexander RA, Buschang PH. Prediction of lip response to four first premolar extractions in white female adolescents and adults. Angle Orthod. 2009;79(3):413–21. </p> </div> </section> </div><!-- .main_entry --> <div class="entry_details"> <div class="item galleys"> <h2 class="pkp_screen_reader"> Downloads </h2> <ul class="value galleys_links"> <li> <a class="obj_galley_link pdf" href="https://publications.eai.eu/index.php/mca/article/view/3686/3307"> PDF </a> </li> </ul> </div> <div class="item published"> <section class="sub_item"> <h2 class="label"> Published </h2> <div class="value"> <span>29-07-2024</span> </div> </section> </div> <div class="item citation"> <section class="sub_item citation_display"> <h2 class="label"> How to Cite </h2> <div class="value"> <div id="citationOutput" role="region" aria-live="polite"> <div class="csl-bib-body"> <div class="csl-entry"><div class="csl-left-margin">[1]</div><div class="csl-right-inline">R. Shah, S. Durkar, S. Deshmukh, and J. 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