[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121364-en":3,"doc-seo-121364-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},121364,2336464648746,"Skyler","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","In Vitro Simulation of Airway Volume Changes Following Rapid Maxillary Expansion - 3D CBCT and Machine Learning Analysis","Background: Rapid Maxillary Expansion (RME) is a common orthodontic procedure used to widen the maxillary arch to improve occlusion and airway function. Prior studies report mixed findings regarding RME’s effects on airway volume, and comprehensive imaging-based analysis combined with predictive methods remains limited. Objective: Assess RME-related airway volume changes using in vitro 3D CBCT simulations and apply machine learning for deeper analysis. Methods: Thirty pre- and post-treatment CBCT scans were processed for volumetric analysis and prediction with CNN and AIForecast.","In Vitro Simulation of Airway Volume Changes Following Rapid Maxillary Expansion: A 3D CBCT and Machine Learning Analysis  \nDr. Lishoy W. Rodrigues1, Dr. Prachi T. Khatri2, Dr. Neeraj E. Kolge3, Dr. Mugdha S. Raut4, Dr. Gaury A. Vajarekar5, Dr. Ruchita Y. Lokhande6 , Shreya S. Jadhav7 ,Dr. Amiya Shetty8  \n1B.D. S., M.D.S., Ph.D. Scholar (Orthodontics), Fellow of World Federation of Orthodontics (USA), Fellow of Comprehensive Cleft Care, Dip. in Forensic and Medical Jurisprudence, Dip. in Cyber Law, PGDHM. Assistant Professor in the Department of Orthodontics and Dentofacial Orthopedics at Sinhgad Dental College and Hospital, Pune, Maharashtra, 411041, India.  \n2B.D. S., MGM Dental College & Hospital, Navi Mumbai, Maharashtra, 410209, India, Dental trainee at Dental Square, Andheri, Mumbai 400069, India  \n3BDS, MDS, FWFO, FPFA, Assistant Professor, Department of Orthodontics & Dentofacial Orthopaedics, MGM Dental College & Hospital, Navi Mumbai, Maharashtra, 410209. Ph.D. Scholar, Department of Orthodontics & Dentofacial Orthopaedics, Government Dental College & Hospital, Nagpur. Honorary Dental Surgeon, Rotary Club of Bombay. 4D.M.D (University of Pennsylvania School of Dental Medicine) Philadelphia 19107, USA. B.D.S., M.D. S (Oral and Maxillofacial Pathology) Ex-Assistant Professor Department of Oral Pathology and Microbiology Nair Hospital Dental College Mumbai 400008, India.  \n5B.D. S., M.D.S, (Orthodontics), Orthodontist and General Dentist at Dr. Vajarekar’s Multispecialty Dental Clinic and Orthodontic Care Centre. Ghadi House, opp. Homi Bhabha Centre for Science Education, Sion Trombay road, near BARC main gate, Mankhurd, Mumbai 400088, India.  \n6B.D. S, M.D. S (Orthodontics), Orthodontist at Orthodontic practice Byculla Dental Care, Bhima Sadan Building, Railway station, Shop no 3 , Ground floor, Mumbai. India  \n7Intern, Sinhgad Dental College and Hospital, Pune, Maharashtra, 411041, India.  \n8B.D. S, M.D. S Post Graduate Student, AJ institute of Dental Sciences, NH 66, Kuntikan , Mangaluru , Karnataka – 575004, India  \n(Received: 14 April 2024 Revised: 1 May 2024 Accepted: 18 June 2024)  \nKEYWORDS  \nOrthodontic Treatment, Finite Element Analysis, Maxillary Expansion, Airway Assessment, ThreeDimensional Imaging, Predictive Modeling, Machine Learning Algorithms, Dental Biomechanics, Maxillary Arch  \nABSTRACT:  \nBackground: Rapid Maxillary Expansion (RME) is a prevalent orthodontic procedure designed to widen the maxillary arch to enhance occlusion and airway function. While prior research has shown varied effects of RME on airway volume, a comprehensive analysis utilizing advanced imaging and analytical methods remains limited. This study aims to address this gap by employing 3D Cone-Beam Computed Tomography (CBCT) and machine learning algorithms to thoroughly assess airway volume changes following RME.  \nObjective: To evaluate the impact of RME on airway volume through detailed in vitro simulations using 3D CBCT imaging and to apply machine learning techniques for an in-depth analysis of these changes.  \nMethods: This study involved 30 pre-treatment and post-treatment CBCT scans of patients who underwent RME. The scans were processed using DentAnalyser (Version 3.2) for volumetric analysis and machine learning models, including Convolutional Neural Networks (CNN) and AIForecast (Version 2.1), were employed to predict airway volume changes. Statistical analysis was performed using paired t-tests and analysis of variance (ANOVA) to determine the significance of the changes observed.  \nResults: The average airway volume increased significantly from 15.3 cm³ (± 2.5 cm³) before  RME to 18.7 cm³ (± 2.7 cm³) after RME, reflecting a mean increase of 22.3%(p \u003C 0.001) .  \n\n| Expansion, CBCT Imaging Analysis, Airway Dynamics, Clinical Simulation. | Machine learning models exhibited high predictive accuracy, with CNN achieving 95.8% and AIForecast achieving 92.3% . These findings were consistent across different patient demographic","cbCaioZQ7r45SbIu","https://ap.wps.com/l/cbCaioZQ7r45SbIu","pdf",832319,1,11,"English","en",105,"# Introduction\n## Background: Rapid Maxillary Expansion and airway effects\n## 3D CBCT for volumetric evaluation\n## Machine learning for complex dataset prediction","[{\"question\":\"What is the purpose of this in vitro study on RME and airway volume?\",\"answer\":\"To evaluate how Rapid Maxillary Expansion affects airway volume using 3D CBCT-based in vitro simulations, and to analyze the changes with machine learning methods.\"},{\"question\":\"How were airway volume changes measured?\",\"answer\":\"Thirty pre- and post-treatment CBCT scans were processed with DentAnalyser (Version 3.2) for volumetric analysis, and statistical testing was performed using paired t-tests and ANOVA.\"},{\"question\":\"Which machine learning models were used and how accurate were they?\",\"answer\":\"Convolutional Neural Networks (CNN) and AIForecast (Version 2.1) were used to predict airway volume changes, achieving 95.8% and 92.3% predictive accuracy, respectively.\"}]","In Vitro Simulation of Airway Volume Changes Following Rapid Maxillary Expansion - 3D CBCT and Machine Learning Analysis | PDF",1785735258,28,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"in-vitro-simulation-of-airway-volume-changes-following-rapid-maxillary-expansion-3d-cbct-and-machine-learning-analysis","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/in-vitro-simulation-of-airway-volume-changes-following-rapid-maxillary-expansion-3d-cbct-and-machine-learning-analysis/121364/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the purpose of this in vitro study on RME and airway volume?","Question",{"text":75,"@type":76},"To evaluate how Rapid Maxillary Expansion affects airway volume using 3D CBCT-based in vitro simulations, and to analyze the changes with machine learning methods.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How were airway volume changes measured?",{"text":80,"@type":76},"Thirty pre- and post-treatment CBCT scans were processed with DentAnalyser (Version 3.2) for volumetric analysis, and statistical testing was performed using paired t-tests and ANOVA.",{"name":82,"@type":73,"acceptedAnswer":83},"Which machine learning models were used and how accurate were they?",{"text":84,"@type":76},"Convolutional Neural Networks (CNN) and AIForecast (Version 2.1) were used to predict airway volume changes, achieving 95.8% and 92.3% predictive accuracy, respectively.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]