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Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes

BACKGROUND: Endobronchial ultrasonography (EBUS) has been applied as a routine procedure for the diagnostic of hiliar and mediastinal nodes. The authors assessed the relationship between the echographic appearance of mediastinal nodes, based on endobronchial ultrasound images, and the likelihood of...

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Autores principales: Fiz, José Antonio, Monte-Moreno, Enrique, Andreo, Felipe, Auteri, Santiago José, Sanz-Santos, José, Serra, Pere, Bonet, Gloria, Castellà, Eva, Manzano, Juan Ruiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061455/
https://www.ncbi.nlm.nih.gov/pubmed/24920158
http://dx.doi.org/10.1186/1471-2342-14-22
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author Fiz, José Antonio
Monte-Moreno, Enrique
Andreo, Felipe
Auteri, Santiago José
Sanz-Santos, José
Serra, Pere
Bonet, Gloria
Castellà, Eva
Manzano, Juan Ruiz
author_facet Fiz, José Antonio
Monte-Moreno, Enrique
Andreo, Felipe
Auteri, Santiago José
Sanz-Santos, José
Serra, Pere
Bonet, Gloria
Castellà, Eva
Manzano, Juan Ruiz
author_sort Fiz, José Antonio
collection PubMed
description BACKGROUND: Endobronchial ultrasonography (EBUS) has been applied as a routine procedure for the diagnostic of hiliar and mediastinal nodes. The authors assessed the relationship between the echographic appearance of mediastinal nodes, based on endobronchial ultrasound images, and the likelihood of malignancy. METHODS: The images of twelve malignant and eleven benign nodes were evaluated. A previous processing method was applied to improve the quality of the images and to enhance the details. Texture and morphology parameters analyzed were: the image texture of the echographies and a fractal dimension that expressed the relationship between area and perimeter of the structures that appear in the image, and characterizes the convoluted inner structure of the hiliar and mediastinal nodes. RESULTS: Processed images showed that relationship between log perimeter and log area of hilar nodes was lineal (i.e. perimeter vs. area follow a power law). Fractal dimension was lower in the malignant nodes compared with non-malignant nodes (1.47(0.09), 1.53(0.10) mean(SD), Mann–Whitney U test p < 0.05)). CONCLUSION: Fractal dimension of ultrasonographic images of mediastinal nodes obtained through endobronchial ultrasound differ in malignant nodes from non-malignant. This parameter could differentiate malignat and non-malignat mediastinic and hiliar nodes.
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spelling pubmed-40614552014-06-30 Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes Fiz, José Antonio Monte-Moreno, Enrique Andreo, Felipe Auteri, Santiago José Sanz-Santos, José Serra, Pere Bonet, Gloria Castellà, Eva Manzano, Juan Ruiz BMC Med Imaging Research Article BACKGROUND: Endobronchial ultrasonography (EBUS) has been applied as a routine procedure for the diagnostic of hiliar and mediastinal nodes. The authors assessed the relationship between the echographic appearance of mediastinal nodes, based on endobronchial ultrasound images, and the likelihood of malignancy. METHODS: The images of twelve malignant and eleven benign nodes were evaluated. A previous processing method was applied to improve the quality of the images and to enhance the details. Texture and morphology parameters analyzed were: the image texture of the echographies and a fractal dimension that expressed the relationship between area and perimeter of the structures that appear in the image, and characterizes the convoluted inner structure of the hiliar and mediastinal nodes. RESULTS: Processed images showed that relationship between log perimeter and log area of hilar nodes was lineal (i.e. perimeter vs. area follow a power law). Fractal dimension was lower in the malignant nodes compared with non-malignant nodes (1.47(0.09), 1.53(0.10) mean(SD), Mann–Whitney U test p < 0.05)). CONCLUSION: Fractal dimension of ultrasonographic images of mediastinal nodes obtained through endobronchial ultrasound differ in malignant nodes from non-malignant. This parameter could differentiate malignat and non-malignat mediastinic and hiliar nodes. BioMed Central 2014-06-12 /pmc/articles/PMC4061455/ /pubmed/24920158 http://dx.doi.org/10.1186/1471-2342-14-22 Text en Copyright © 2014 Fiz et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Fiz, José Antonio
Monte-Moreno, Enrique
Andreo, Felipe
Auteri, Santiago José
Sanz-Santos, José
Serra, Pere
Bonet, Gloria
Castellà, Eva
Manzano, Juan Ruiz
Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes
title Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes
title_full Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes
title_fullStr Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes
title_full_unstemmed Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes
title_short Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes
title_sort fractal dimension analysis of malignant and benign endobronchial ultrasound nodes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061455/
https://www.ncbi.nlm.nih.gov/pubmed/24920158
http://dx.doi.org/10.1186/1471-2342-14-22
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