Dental Implant Monitoring Using Resonance Frequency Analysis (RFA) and Cone Beam Computed Tomography (CBCT) Measurement
Dental implants commonly practiced replacing edentulous teeth. However, it is still challenging to evaluate the progress of osseointegration during the healing process after implant placement. This study aims to measure the implant stability of pre- and post-crown placement to monitor osseointeg...
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Format: | Article |
Language: | English |
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Universitas Indonesia
2020-11-01
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Series: | International Journal of Technology |
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Online Access: | https://ijtech.eng.ui.ac.id/article/view/4326 |
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author | Maya Genisa Solehuddin Shuib Zainul Ahmad Rajion Dasmawati Mohamad Erry Mochamad Arief |
author_facet | Maya Genisa Solehuddin Shuib Zainul Ahmad Rajion Dasmawati Mohamad Erry Mochamad Arief |
author_sort | Maya Genisa |
collection | DOAJ |
description | Dental implants commonly practiced replacing edentulous
teeth. However, it is still challenging to evaluate the progress of
osseointegration during the healing process after implant placement. This study
aims to measure the implant stability of pre- and post-crown placement to
monitor osseointegration during the healing process and correlate it with the
bone quality and quantity and other parameters. Resonance Frequency Analysis
(RFA) method as a standard method has been used to monitor implant stability.
Ten patients from Hospital Universiti Sains Malaysia have been involved with
and treated by immediate implant placement procedures on their mandibular jaw
system. Monitoring was also conducted by measuring the density of bone
estimated based on Cone Beam Computed Tomography data. On the basis of the
study, RFA and density monitoring show that there are at least three classes of
patients: Class 1 are the patients who have a significant increment of implant
stability; Class 2 are the patients with constant implant stability; and Class
3 are the patients who have negative implant stability progress, or their
implant stability was decreasing. On the basis of the result, monitoring of
implant stability by measuring the density is still challenging, the
correlation between secondary implant stability and density is not significant
statistically. It is recommended in future research to evaluate the implant
stability by involving more patients from different races and also correlating
the implant stability with the dynamic properties such as stress distribution. |
first_indexed | 2024-04-11T03:42:09Z |
format | Article |
id | doaj.art-6ebe07c2be244b58aef2275a7ac89b63 |
institution | Directory Open Access Journal |
issn | 2086-9614 2087-2100 |
language | English |
last_indexed | 2024-04-11T03:42:09Z |
publishDate | 2020-11-01 |
publisher | Universitas Indonesia |
record_format | Article |
series | International Journal of Technology |
spelling | doaj.art-6ebe07c2be244b58aef2275a7ac89b632023-01-02T03:35:26ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002020-11-011151015102410.14716/ijtech.v11i5.43264326Dental Implant Monitoring Using Resonance Frequency Analysis (RFA) and Cone Beam Computed Tomography (CBCT) MeasurementMaya Genisa0Solehuddin Shuib1Zainul Ahmad Rajion2Dasmawati Mohamad3Erry Mochamad Arief4- Yarsi University<br/>-UITMIIUMUSMUSMDental implants commonly practiced replacing edentulous teeth. However, it is still challenging to evaluate the progress of osseointegration during the healing process after implant placement. This study aims to measure the implant stability of pre- and post-crown placement to monitor osseointegration during the healing process and correlate it with the bone quality and quantity and other parameters. Resonance Frequency Analysis (RFA) method as a standard method has been used to monitor implant stability. Ten patients from Hospital Universiti Sains Malaysia have been involved with and treated by immediate implant placement procedures on their mandibular jaw system. Monitoring was also conducted by measuring the density of bone estimated based on Cone Beam Computed Tomography data. On the basis of the study, RFA and density monitoring show that there are at least three classes of patients: Class 1 are the patients who have a significant increment of implant stability; Class 2 are the patients with constant implant stability; and Class 3 are the patients who have negative implant stability progress, or their implant stability was decreasing. On the basis of the result, monitoring of implant stability by measuring the density is still challenging, the correlation between secondary implant stability and density is not significant statistically. It is recommended in future research to evaluate the implant stability by involving more patients from different races and also correlating the implant stability with the dynamic properties such as stress distribution.https://ijtech.eng.ui.ac.id/article/view/4326cbctdensitydental implantosseointegrationrfa |
spellingShingle | Maya Genisa Solehuddin Shuib Zainul Ahmad Rajion Dasmawati Mohamad Erry Mochamad Arief Dental Implant Monitoring Using Resonance Frequency Analysis (RFA) and Cone Beam Computed Tomography (CBCT) Measurement International Journal of Technology cbct density dental implant osseointegration rfa |
title | Dental Implant Monitoring Using Resonance Frequency Analysis (RFA) and Cone Beam Computed Tomography (CBCT) Measurement |
title_full | Dental Implant Monitoring Using Resonance Frequency Analysis (RFA) and Cone Beam Computed Tomography (CBCT) Measurement |
title_fullStr | Dental Implant Monitoring Using Resonance Frequency Analysis (RFA) and Cone Beam Computed Tomography (CBCT) Measurement |
title_full_unstemmed | Dental Implant Monitoring Using Resonance Frequency Analysis (RFA) and Cone Beam Computed Tomography (CBCT) Measurement |
title_short | Dental Implant Monitoring Using Resonance Frequency Analysis (RFA) and Cone Beam Computed Tomography (CBCT) Measurement |
title_sort | dental implant monitoring using resonance frequency analysis rfa and cone beam computed tomography cbct measurement |
topic | cbct density dental implant osseointegration rfa |
url | https://ijtech.eng.ui.ac.id/article/view/4326 |
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