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Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study

PURPOSE: The present study aimed at evaluating the effectiveness of fractal analysis on determining the osseointegration of dental implants. MATERIAL AND METHODS: In a single center, retrospective clinical trial, patients with dental implants in the mandibular premolar/molar region, ASA I–II and <...

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Autores principales: Soylu, Emrah, Coşgunarslan, Aykağan, Çelebi, Selin, Soydan, Damla, Demirbaş, Ahmet Emin, Demir, Osman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904985/
https://www.ncbi.nlm.nih.gov/pubmed/33629210
http://dx.doi.org/10.1186/s40729-021-00296-0
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author Soylu, Emrah
Coşgunarslan, Aykağan
Çelebi, Selin
Soydan, Damla
Demirbaş, Ahmet Emin
Demir, Osman
author_facet Soylu, Emrah
Coşgunarslan, Aykağan
Çelebi, Selin
Soydan, Damla
Demirbaş, Ahmet Emin
Demir, Osman
author_sort Soylu, Emrah
collection PubMed
description PURPOSE: The present study aimed at evaluating the effectiveness of fractal analysis on determining the osseointegration of dental implants. MATERIAL AND METHODS: In a single center, retrospective clinical trial, patients with dental implants in the mandibular premolar/molar region, ASA I–II and < 65-year-old patients were included. Orthopantomograph (OPG) were taken before implant surgery (t0), within a week of surgery (t1), and 1 (t2) and 2 (t3) months after surgery, respectively. Three regions of interest (ROIs) from mesial, distal, and apical sites of the implants were chosen and fractal analysis (FA) was conducted with the box-counting algorithm using White and Rudolph’s method. RESULTS: A total of 39 patients 19 women and 20 men, with a mean age of 52.2 years (52.3 and 52.1 years, respectively) were included. The mean, minimum and maximum values of mesial (roi1), distal (roi2), and apical (roi3) surfaces were compared. The fractal dimension (FD) values of t1 were significantly lower compared with t0 as they decreased during the first week. FD values gradually increased after the first week although never exceeded the FD values of t0. Also, difference between mean FD values of t0 and t3 were found statistically significant (p < 0.05). DISCUSSION: FA is a promising and noninvasive method to predict osseointegration of a dental implant based on dental radiographs, and it can help shorten the total treatment time.
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spelling pubmed-79049852021-03-09 Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study Soylu, Emrah Coşgunarslan, Aykağan Çelebi, Selin Soydan, Damla Demirbaş, Ahmet Emin Demir, Osman Int J Implant Dent Research PURPOSE: The present study aimed at evaluating the effectiveness of fractal analysis on determining the osseointegration of dental implants. MATERIAL AND METHODS: In a single center, retrospective clinical trial, patients with dental implants in the mandibular premolar/molar region, ASA I–II and < 65-year-old patients were included. Orthopantomograph (OPG) were taken before implant surgery (t0), within a week of surgery (t1), and 1 (t2) and 2 (t3) months after surgery, respectively. Three regions of interest (ROIs) from mesial, distal, and apical sites of the implants were chosen and fractal analysis (FA) was conducted with the box-counting algorithm using White and Rudolph’s method. RESULTS: A total of 39 patients 19 women and 20 men, with a mean age of 52.2 years (52.3 and 52.1 years, respectively) were included. The mean, minimum and maximum values of mesial (roi1), distal (roi2), and apical (roi3) surfaces were compared. The fractal dimension (FD) values of t1 were significantly lower compared with t0 as they decreased during the first week. FD values gradually increased after the first week although never exceeded the FD values of t0. Also, difference between mean FD values of t0 and t3 were found statistically significant (p < 0.05). DISCUSSION: FA is a promising and noninvasive method to predict osseointegration of a dental implant based on dental radiographs, and it can help shorten the total treatment time. Springer Berlin Heidelberg 2021-02-25 /pmc/articles/PMC7904985/ /pubmed/33629210 http://dx.doi.org/10.1186/s40729-021-00296-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Soylu, Emrah
Coşgunarslan, Aykağan
Çelebi, Selin
Soydan, Damla
Demirbaş, Ahmet Emin
Demir, Osman
Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study
title Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study
title_full Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study
title_fullStr Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study
title_full_unstemmed Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study
title_short Fractal analysis as a useful predictor for determining osseointegration of dental implant? A retrospective study
title_sort fractal analysis as a useful predictor for determining osseointegration of dental implant? a retrospective study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904985/
https://www.ncbi.nlm.nih.gov/pubmed/33629210
http://dx.doi.org/10.1186/s40729-021-00296-0
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