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Panoramic prediction equations to estimate implant- to-mandibular canal dimensions in the mandibular posterior region: implications for dental implant treatment

To develop and cross-validate site-specific panoramic radiography (PAN) analysis prediction equations of implant-to-mandibular canal dimensions (IMCD) in mandibular regions posterior to the mental foramen, and to help determine in which instances CBCT technology will be a justified adjunct in clinic...

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Published in:Head & face medicine 2021-06, Vol.17 (1), p.19-19, Article 19
Main Authors: Bertram, Annika, Eckert, Alexander W, Kolk, Andreas, Emshoff, Rüdiger
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Emshoff, Rüdiger
description To develop and cross-validate site-specific panoramic radiography (PAN) analysis prediction equations of implant-to-mandibular canal dimensions (IMCD) in mandibular regions posterior to the mental foramen, and to help determine in which instances CBCT technology will be a justified adjunct in clinical practice. IMCD by PAN (Pan-D) from implant site-specific regions (first premolar, second premolar, first molar, and second molar sites) were collected from 40- to 70-year-old adolescents. They were randomly assigned to validation (n = 144) and cross-validation (n = 148) groups. The cone-beam computed tomography (CBCT) technique was used as the criterion method for the estimation of IMCD (CBCT-D). The PAN analysis equations were developed using stepwise multiple regression analysis and cross-validated using the Bland-Altman approach. There was a significant relationship between PAN-D and CBCT-D for both validation (R  = 57.8 %; p 
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IMCD by PAN (Pan-D) from implant site-specific regions (first premolar, second premolar, first molar, and second molar sites) were collected from 40- to 70-year-old adolescents. They were randomly assigned to validation (n = 144) and cross-validation (n = 148) groups. The cone-beam computed tomography (CBCT) technique was used as the criterion method for the estimation of IMCD (CBCT-D). The PAN analysis equations were developed using stepwise multiple regression analysis and cross-validated using the Bland-Altman approach. There was a significant relationship between PAN-D and CBCT-D for both validation (R  = 57.8 %; p &lt; .001) and cross-validation groups (R  = 52.5 %; p &lt; .001). Root means-squared error (RMSE) and pure error (PE) were highest for the first molar (RMSE = 1.116 mm, PE = 1.01 mm) and the second molar region (RMSE = 1.162 mm, PE = 1.11 mm). PAN-D has the potential to be developed as an indirect measure of IMCD. However, the findings suggest to exclude scoring of the first and second molars when assessing IMCD via PAN. Use of CBCT may be justified for all IMCD estimations in the first and second molars regions. 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IMCD by PAN (Pan-D) from implant site-specific regions (first premolar, second premolar, first molar, and second molar sites) were collected from 40- to 70-year-old adolescents. They were randomly assigned to validation (n = 144) and cross-validation (n = 148) groups. The cone-beam computed tomography (CBCT) technique was used as the criterion method for the estimation of IMCD (CBCT-D). The PAN analysis equations were developed using stepwise multiple regression analysis and cross-validated using the Bland-Altman approach. There was a significant relationship between PAN-D and CBCT-D for both validation (R  = 57.8 %; p &lt; .001) and cross-validation groups (R  = 52.5 %; p &lt; .001). Root means-squared error (RMSE) and pure error (PE) were highest for the first molar (RMSE = 1.116 mm, PE = 1.01 mm) and the second molar region (RMSE = 1.162 mm, PE = 1.11 mm). PAN-D has the potential to be developed as an indirect measure of IMCD. 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IMCD by PAN (Pan-D) from implant site-specific regions (first premolar, second premolar, first molar, and second molar sites) were collected from 40- to 70-year-old adolescents. They were randomly assigned to validation (n = 144) and cross-validation (n = 148) groups. The cone-beam computed tomography (CBCT) technique was used as the criterion method for the estimation of IMCD (CBCT-D). The PAN analysis equations were developed using stepwise multiple regression analysis and cross-validated using the Bland-Altman approach. There was a significant relationship between PAN-D and CBCT-D for both validation (R  = 57.8 %; p &lt; .001) and cross-validation groups (R  = 52.5 %; p &lt; .001). Root means-squared error (RMSE) and pure error (PE) were highest for the first molar (RMSE = 1.116 mm, PE = 1.01 mm) and the second molar region (RMSE = 1.162 mm, PE = 1.11 mm). PAN-D has the potential to be developed as an indirect measure of IMCD. However, the findings suggest to exclude scoring of the first and second molars when assessing IMCD via PAN. Use of CBCT may be justified for all IMCD estimations in the first and second molars regions. This study has been registered and approved by the Ethics Committee of the Martin-Luther University, Halle, Germany (2020-034).</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>34107989</pmid><doi>10.1186/s13005-021-00270-6</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects Accuracy
Adolescent
Adult
Age
Aged
Analysis
Cone-Beam Computed Tomography
Dental Implants
Edentulous
Gender
Germany
Humans
Implant dentures
Mandible - diagnostic imaging
Mandibular canal
Mandibular edentulousness
Middle Aged
Molar, Third
Panoramic radiography
Patients
Radiation
Radiography, Medical
Radiography, Panoramic
Software
Surgery
Values
Variables
Variance analysis
title Panoramic prediction equations to estimate implant- to-mandibular canal dimensions in the mandibular posterior region: implications for dental implant treatment
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