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Estimation of Cancellous Changes Using Fractal Analysis in Patients with Periodontitis

Periodontal disease is a broad term given when the periodontium is affected by inflammation. There are several methods to diagnose periodontitis, but no method to quantify the cancellous bone is presently used. For this purpose, a non-invasive tool that is efficient in analyzing bone quality called...

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Autores principales: Mishra, Sukanya, Kumar, Manoj, Mishra, Lora, Panda, Swagatika, Panda, Saurav, Lewkowicz, Natalia, Lapinska, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525952/
https://www.ncbi.nlm.nih.gov/pubmed/37760988
http://dx.doi.org/10.3390/biomedicines11092547
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author Mishra, Sukanya
Kumar, Manoj
Mishra, Lora
Panda, Swagatika
Panda, Saurav
Lewkowicz, Natalia
Lapinska, Barbara
author_facet Mishra, Sukanya
Kumar, Manoj
Mishra, Lora
Panda, Swagatika
Panda, Saurav
Lewkowicz, Natalia
Lapinska, Barbara
author_sort Mishra, Sukanya
collection PubMed
description Periodontal disease is a broad term given when the periodontium is affected by inflammation. There are several methods to diagnose periodontitis, but no method to quantify the cancellous bone is presently used. For this purpose, a non-invasive tool that is efficient in analyzing bone quality called fractal analysis can be employed. The objective of the study was to utilize fractal dimension (FD) to evaluate cancellous patterns of interproximal alveolar bone using a digital intraoral periapical radiograph (IOPAR) in different clinical presentations of periodontitis classified according to the latest classification by the World Workshop for Periodontal and Peri-Implant Diseases and Conditions, 2017 (WWDC, 2017). The study aimed to numerically calculate the periodontitis changes in the cancellous bone around the affected tooth on an IOPAR using fractal analysis and to provide an additional criterion for the staging of periodontitis. In this cross-sectional observational study, 75 patients were selected and equally allotted to five groups based on the staging system proposed by the WWDC, 2017. The region of interest was selected on the IOPA radiograph of the tooth with the site having the most significant clinical attachment loss, and FD was calculated using Image J analysis. The association of gender and age with stages of periodontitis was studied using the chi-square test of independence. A comparison of % bone loss and fractal dimension among stages was studied by using the non-parametric Kruskal Wallis test. The relationship between % bone loss and fractal dimension within stages and gender was studied by using the Karl Pearson correlation. A receiver operating characteristic (ROC) curve analysis was performed for FD value as a marker of periodontitis patients. We demonstrated that the FD values decreased significantly with the increase in stages (p < 0.0001). The overall relationship between % bone loss and FD showed a significantly strong negative correlation of −0.739 (p < 0.0001), except for stages III and IV. FD can be utilized as a quantitative method for detecting cancellous bone changes in different stages of periodontitis, aiding in diagnosing periodontitis.
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spelling pubmed-105259522023-09-28 Estimation of Cancellous Changes Using Fractal Analysis in Patients with Periodontitis Mishra, Sukanya Kumar, Manoj Mishra, Lora Panda, Swagatika Panda, Saurav Lewkowicz, Natalia Lapinska, Barbara Biomedicines Article Periodontal disease is a broad term given when the periodontium is affected by inflammation. There are several methods to diagnose periodontitis, but no method to quantify the cancellous bone is presently used. For this purpose, a non-invasive tool that is efficient in analyzing bone quality called fractal analysis can be employed. The objective of the study was to utilize fractal dimension (FD) to evaluate cancellous patterns of interproximal alveolar bone using a digital intraoral periapical radiograph (IOPAR) in different clinical presentations of periodontitis classified according to the latest classification by the World Workshop for Periodontal and Peri-Implant Diseases and Conditions, 2017 (WWDC, 2017). The study aimed to numerically calculate the periodontitis changes in the cancellous bone around the affected tooth on an IOPAR using fractal analysis and to provide an additional criterion for the staging of periodontitis. In this cross-sectional observational study, 75 patients were selected and equally allotted to five groups based on the staging system proposed by the WWDC, 2017. The region of interest was selected on the IOPA radiograph of the tooth with the site having the most significant clinical attachment loss, and FD was calculated using Image J analysis. The association of gender and age with stages of periodontitis was studied using the chi-square test of independence. A comparison of % bone loss and fractal dimension among stages was studied by using the non-parametric Kruskal Wallis test. The relationship between % bone loss and fractal dimension within stages and gender was studied by using the Karl Pearson correlation. A receiver operating characteristic (ROC) curve analysis was performed for FD value as a marker of periodontitis patients. We demonstrated that the FD values decreased significantly with the increase in stages (p < 0.0001). The overall relationship between % bone loss and FD showed a significantly strong negative correlation of −0.739 (p < 0.0001), except for stages III and IV. FD can be utilized as a quantitative method for detecting cancellous bone changes in different stages of periodontitis, aiding in diagnosing periodontitis. MDPI 2023-09-16 /pmc/articles/PMC10525952/ /pubmed/37760988 http://dx.doi.org/10.3390/biomedicines11092547 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mishra, Sukanya
Kumar, Manoj
Mishra, Lora
Panda, Swagatika
Panda, Saurav
Lewkowicz, Natalia
Lapinska, Barbara
Estimation of Cancellous Changes Using Fractal Analysis in Patients with Periodontitis
title Estimation of Cancellous Changes Using Fractal Analysis in Patients with Periodontitis
title_full Estimation of Cancellous Changes Using Fractal Analysis in Patients with Periodontitis
title_fullStr Estimation of Cancellous Changes Using Fractal Analysis in Patients with Periodontitis
title_full_unstemmed Estimation of Cancellous Changes Using Fractal Analysis in Patients with Periodontitis
title_short Estimation of Cancellous Changes Using Fractal Analysis in Patients with Periodontitis
title_sort estimation of cancellous changes using fractal analysis in patients with periodontitis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525952/
https://www.ncbi.nlm.nih.gov/pubmed/37760988
http://dx.doi.org/10.3390/biomedicines11092547
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