Dental implant navigation system guide the surgery future

No study has investigated the effect of learning curves on the accuracy of dental implant navigation systems. This study evaluated the accuracy of the dental implant navigation system and established the learning curve according to operation site and operating time. Each dental model was used for dr...

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Published in:The Kaohsiung journal of medical sciences 2018-01, Vol.34 (1), p.56-64
Main Authors: Sun, Ting-Mao, Lan, Ting-Hsun, Pan, Chin-Yun, Lee, Huey-Er
Format: Article
Language:English
Subjects:
Accuracy
Dental Implantation, Endosseous - instrumentation
Dental Implantation, Endosseous - methods
Dental Implants
Dental Models
Dental navigation system
Dentists - education
Electronics in navigation
Humans
Imaging, Three-Dimensional - methods
Implant dentures
Learning Curve
Mandible - anatomy & histology
Mandible - diagnostic imaging
Mandible - surgery
Maxilla - anatomy & histology
Maxilla - diagnostic imaging
Maxilla - surgery
Medical imaging equipment
Surgery
Surgery, Computer-Assisted - instrumentation
Surgery, Computer-Assisted - methods
Tomography, X-Ray Computed
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cited_by cdi_FETCH-LOGICAL-c5806-e715870e9bc1dec393d926c1fcae9d4e5e6d89c12a8ede26dfddee8413b90eb43
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description No study has investigated the effect of learning curves on the accuracy of dental implant navigation systems. This study evaluated the accuracy of the dental implant navigation system and established the learning curve according to operation site and operating time. Each dental model was used for drilling 3 missing tooth positions, and a patient tracking module was created. The same dentist performed the drilling test for 5 sets of dental models. CT back scanning was performed on the dental models. Customized implants based on the drilled holes were inserted. The relative error between the preoperative planning and actual implant was calculated. Using the dental navigation system could help dentists position implants more accurately. Increasing the frequency with which a dentist used the navigation system resulted in shorter operations. Longitudinal and angular deviation were significantly (P 
doi_str_mv 10.1016/j.kjms.2017.08.011
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This study evaluated the accuracy of the dental implant navigation system and established the learning curve according to operation site and operating time. Each dental model was used for drilling 3 missing tooth positions, and a patient tracking module was created. The same dentist performed the drilling test for 5 sets of dental models. CT back scanning was performed on the dental models. Customized implants based on the drilled holes were inserted. The relative error between the preoperative planning and actual implant was calculated. Using the dental navigation system could help dentists position implants more accurately. Increasing the frequency with which a dentist used the navigation system resulted in shorter operations. Longitudinal and angular deviation were significantly (P &lt; 0.0001 and P = 0.0164). We found that the same level of accuracy could be obtained for the maxilla and mandible implants. The Student's t test demonstrated that the longitudinal error, but not the total or angular error, differed significantly (P = 0.0012). The learning curve for the dental implant navigation system exhibited a learning plateau after 5 tests. The current system exhibited similar accuracy for both maxillary and mandibular dental implants in different dental locations. The one-way ANOVA revealed that the total, longitudinal, and angular errors differed significantly (P &lt; 0.0001, P &lt; 0.0001 and P = 0.0153). In addition, it possesses high potential for future use in dental implant surgery and its learning curve can serve as a reference for dentists.</description><identifier>ISSN: 1607-551X</identifier><identifier>EISSN: 2410-8650</identifier><identifier>DOI: 10.1016/j.kjms.2017.08.011</identifier><identifier>PMID: 29310817</identifier><language>eng</language><publisher>China (Republic : 1949- ): Elsevier Taiwan</publisher><subject>Accuracy ; Dental Implantation, Endosseous - instrumentation ; Dental Implantation, Endosseous - methods ; Dental Implants ; Dental Models ; Dental navigation system ; Dentists - education ; Electronics in navigation ; Humans ; Imaging, Three-Dimensional - methods ; Implant dentures ; Learning Curve ; Mandible - anatomy &amp; histology ; Mandible - diagnostic imaging ; Mandible - surgery ; Maxilla - anatomy &amp; histology ; Maxilla - diagnostic imaging ; Maxilla - surgery ; Medical imaging equipment ; Surgery ; Surgery, Computer-Assisted - instrumentation ; Surgery, Computer-Assisted - methods ; Tomography, X-Ray Computed</subject><ispartof>The Kaohsiung journal of medical sciences, 2018-01, Vol.34 (1), p.56-64</ispartof><rights>2017</rights><rights>2018 Kaohsiung Medical University</rights><rights>Copyright © 2017. 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The Student's t test demonstrated that the longitudinal error, but not the total or angular error, differed significantly (P = 0.0012). The learning curve for the dental implant navigation system exhibited a learning plateau after 5 tests. The current system exhibited similar accuracy for both maxillary and mandibular dental implants in different dental locations. The one-way ANOVA revealed that the total, longitudinal, and angular errors differed significantly (P &lt; 0.0001, P &lt; 0.0001 and P = 0.0153). 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histology</topic><topic>Mandible - diagnostic imaging</topic><topic>Mandible - surgery</topic><topic>Maxilla - anatomy &amp; histology</topic><topic>Maxilla - diagnostic imaging</topic><topic>Maxilla - surgery</topic><topic>Medical imaging equipment</topic><topic>Surgery</topic><topic>Surgery, Computer-Assisted - instrumentation</topic><topic>Surgery, Computer-Assisted - methods</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Ting-Mao</creatorcontrib><creatorcontrib>Lan, Ting-Hsun</creatorcontrib><creatorcontrib>Pan, Chin-Yun</creatorcontrib><creatorcontrib>Lee, Huey-Er</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>The Kaohsiung journal of medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Ting-Mao</au><au>Lan, Ting-Hsun</au><au>Pan, Chin-Yun</au><au>Lee, Huey-Er</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dental implant navigation system guide the surgery future</atitle><jtitle>The Kaohsiung journal of medical sciences</jtitle><addtitle>Kaohsiung J Med Sci</addtitle><date>2018-01</date><risdate>2018</risdate><volume>34</volume><issue>1</issue><spage>56</spage><epage>64</epage><pages>56-64</pages><issn>1607-551X</issn><eissn>2410-8650</eissn><abstract>No study has investigated the effect of learning curves on the accuracy of dental implant navigation systems. 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The Student's t test demonstrated that the longitudinal error, but not the total or angular error, differed significantly (P = 0.0012). The learning curve for the dental implant navigation system exhibited a learning plateau after 5 tests. The current system exhibited similar accuracy for both maxillary and mandibular dental implants in different dental locations. The one-way ANOVA revealed that the total, longitudinal, and angular errors differed significantly (P &lt; 0.0001, P &lt; 0.0001 and P = 0.0153). In addition, it possesses high potential for future use in dental implant surgery and its learning curve can serve as a reference for dentists.</abstract><cop>China (Republic : 1949- )</cop><pub>Elsevier Taiwan</pub><pmid>29310817</pmid><doi>10.1016/j.kjms.2017.08.011</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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ispartof The Kaohsiung journal of medical sciences, 2018-01, Vol.34 (1), p.56-64
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source ScienceDirect®; Wiley Online Library Open Access
subjects Accuracy
Dental Implantation, Endosseous - instrumentation
Dental Implantation, Endosseous - methods
Dental Implants
Dental Models
Dental navigation system
Dentists - education
Electronics in navigation
Humans
Imaging, Three-Dimensional - methods
Implant dentures
Learning Curve
Mandible - anatomy & histology
Mandible - diagnostic imaging
Mandible - surgery
Maxilla - anatomy & histology
Maxilla - diagnostic imaging
Maxilla - surgery
Medical imaging equipment
Surgery
Surgery, Computer-Assisted - instrumentation
Surgery, Computer-Assisted - methods
Tomography, X-Ray Computed
title Dental implant navigation system guide the surgery future
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