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Evaluating Mandibular Cortical Index Quantitatively

OBJECTIVES: The aim was to assess whether Fractal Dimension and Lacunarity analysis can discriminate patients having different mandibular cortical shape. METHODS: Panoramic radiographs of 52 patients were evaluated for mandibular cortical index. Weighted Kappa between the observations were varying b...

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Detalles Bibliográficos
Autores principales: Yasar, Fusun, Akgunlu, Faruk
Formato: Texto
Lenguaje:English
Publicado: Dental Investigations Society 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2634783/
https://www.ncbi.nlm.nih.gov/pubmed/19212535
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author Yasar, Fusun
Akgunlu, Faruk
author_facet Yasar, Fusun
Akgunlu, Faruk
author_sort Yasar, Fusun
collection PubMed
description OBJECTIVES: The aim was to assess whether Fractal Dimension and Lacunarity analysis can discriminate patients having different mandibular cortical shape. METHODS: Panoramic radiographs of 52 patients were evaluated for mandibular cortical index. Weighted Kappa between the observations were varying between 0.718–0.805. These radiographs were scanned and converted to binary images. Fractal Dimension and Lacunarity were calculated from the regions where best represents the cortical morphology. RESULTS: It was found that there were statistically significant difference between the Fractal Dimension and Lacunarity of radiographs which were classified as having Cl 1 and Cl 2 (Fractal Dimension P:0.000; Lacunarity P:0.003); and Cl 1 and Cl 3 cortical morphology (Fractal Dimension P:0.008; Lacunarity P:0.001); but there was no statistically significant difference between Fractal Dimension and Lacunarity of radiographs which were classified as having Cl 2 and Cl 3 cortical morphology (Fractal Dimension P:1.000; Lacunarity P:0.758). CONCLUSIONS: FD and L can differentiate Cl 1 mandibular cortical shape from both Cl 2 and Cl 3 mandibular cortical shape but cannot differentiate Cl 2 from Cl 3 mandibular cortical shape on panoramic radiographs.
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spelling pubmed-26347832009-02-11 Evaluating Mandibular Cortical Index Quantitatively Yasar, Fusun Akgunlu, Faruk Eur J Dent Original Articles OBJECTIVES: The aim was to assess whether Fractal Dimension and Lacunarity analysis can discriminate patients having different mandibular cortical shape. METHODS: Panoramic radiographs of 52 patients were evaluated for mandibular cortical index. Weighted Kappa between the observations were varying between 0.718–0.805. These radiographs were scanned and converted to binary images. Fractal Dimension and Lacunarity were calculated from the regions where best represents the cortical morphology. RESULTS: It was found that there were statistically significant difference between the Fractal Dimension and Lacunarity of radiographs which were classified as having Cl 1 and Cl 2 (Fractal Dimension P:0.000; Lacunarity P:0.003); and Cl 1 and Cl 3 cortical morphology (Fractal Dimension P:0.008; Lacunarity P:0.001); but there was no statistically significant difference between Fractal Dimension and Lacunarity of radiographs which were classified as having Cl 2 and Cl 3 cortical morphology (Fractal Dimension P:1.000; Lacunarity P:0.758). CONCLUSIONS: FD and L can differentiate Cl 1 mandibular cortical shape from both Cl 2 and Cl 3 mandibular cortical shape but cannot differentiate Cl 2 from Cl 3 mandibular cortical shape on panoramic radiographs. Dental Investigations Society 2008-10 /pmc/articles/PMC2634783/ /pubmed/19212535 Text en Copyright 2008 European Journal of Dentistry. All rights reserved.
spellingShingle Original Articles
Yasar, Fusun
Akgunlu, Faruk
Evaluating Mandibular Cortical Index Quantitatively
title Evaluating Mandibular Cortical Index Quantitatively
title_full Evaluating Mandibular Cortical Index Quantitatively
title_fullStr Evaluating Mandibular Cortical Index Quantitatively
title_full_unstemmed Evaluating Mandibular Cortical Index Quantitatively
title_short Evaluating Mandibular Cortical Index Quantitatively
title_sort evaluating mandibular cortical index quantitatively
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2634783/
https://www.ncbi.nlm.nih.gov/pubmed/19212535
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