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Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer

BACKGROUND: Prostate cancer is a serious public health problem that affects quality of life and has a significant mortality rate. The aim of the present study was to quantify the fractal dimension and Shannon’s entropy in the histological diagnosis of prostate cancer. METHODS: Thirty-four patients w...

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Autores principales: de Arruda, Pedro Francisco Ferraz, Gatti, Márcio, Junior, Fernando Nestor Facio, de Arruda, José Germano Ferraz, Moreira, Roberto Douglas, Murta, Luiz Otávio, de Arruda, Laísa Ferraz, de Godoy, Moacir Fernandes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3583746/
https://www.ncbi.nlm.nih.gov/pubmed/23414368
http://dx.doi.org/10.1186/1472-6890-13-6
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author de Arruda, Pedro Francisco Ferraz
Gatti, Márcio
Junior, Fernando Nestor Facio
de Arruda, José Germano Ferraz
Moreira, Roberto Douglas
Murta, Luiz Otávio
de Arruda, Laísa Ferraz
de Godoy, Moacir Fernandes
author_facet de Arruda, Pedro Francisco Ferraz
Gatti, Márcio
Junior, Fernando Nestor Facio
de Arruda, José Germano Ferraz
Moreira, Roberto Douglas
Murta, Luiz Otávio
de Arruda, Laísa Ferraz
de Godoy, Moacir Fernandes
author_sort de Arruda, Pedro Francisco Ferraz
collection PubMed
description BACKGROUND: Prostate cancer is a serious public health problem that affects quality of life and has a significant mortality rate. The aim of the present study was to quantify the fractal dimension and Shannon’s entropy in the histological diagnosis of prostate cancer. METHODS: Thirty-four patients with prostate cancer aged 50 to 75 years having been submitted to radical prostatectomy participated in the study. Histological slides of normal (N), hyperplastic (H) and tumor (T) areas of the prostate were digitally photographed with three different magnifications (40x, 100x and 400x) and analyzed. The fractal dimension (FD), Shannon’s entropy (SE) and number of cell nuclei (NCN) in these areas were compared. RESULTS: FD analysis demonstrated the following significant differences between groups: T vs. N and H vs. N groups (p < 0.05) at a magnification of 40x; T vs. N (p < 0.01) at 100x and H vs. N (p < 0.01) at 400x. SE analysis revealed the following significant differences groups: T vs. H and T vs. N (p < 0.05) at 100x; and T vs. H and T vs. N (p < 0.001) at 400x. NCN analysis demonstrated the following significant differences between groups: T vs. H and T vs. N (p < 0.05) at 40x; T vs. H and T vs. N (p < 0.0001) at 100x; and T vs. H and T vs. N (p < 0.01) at 400x. CONCLUSIONS: The quantification of the FD and SE, together with the number of cell nuclei, has potential clinical applications in the histological diagnosis of prostate cancer.
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spelling pubmed-35837462013-02-28 Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer de Arruda, Pedro Francisco Ferraz Gatti, Márcio Junior, Fernando Nestor Facio de Arruda, José Germano Ferraz Moreira, Roberto Douglas Murta, Luiz Otávio de Arruda, Laísa Ferraz de Godoy, Moacir Fernandes BMC Clin Pathol Research Article BACKGROUND: Prostate cancer is a serious public health problem that affects quality of life and has a significant mortality rate. The aim of the present study was to quantify the fractal dimension and Shannon’s entropy in the histological diagnosis of prostate cancer. METHODS: Thirty-four patients with prostate cancer aged 50 to 75 years having been submitted to radical prostatectomy participated in the study. Histological slides of normal (N), hyperplastic (H) and tumor (T) areas of the prostate were digitally photographed with three different magnifications (40x, 100x and 400x) and analyzed. The fractal dimension (FD), Shannon’s entropy (SE) and number of cell nuclei (NCN) in these areas were compared. RESULTS: FD analysis demonstrated the following significant differences between groups: T vs. N and H vs. N groups (p < 0.05) at a magnification of 40x; T vs. N (p < 0.01) at 100x and H vs. N (p < 0.01) at 400x. SE analysis revealed the following significant differences groups: T vs. H and T vs. N (p < 0.05) at 100x; and T vs. H and T vs. N (p < 0.001) at 400x. NCN analysis demonstrated the following significant differences between groups: T vs. H and T vs. N (p < 0.05) at 40x; T vs. H and T vs. N (p < 0.0001) at 100x; and T vs. H and T vs. N (p < 0.01) at 400x. CONCLUSIONS: The quantification of the FD and SE, together with the number of cell nuclei, has potential clinical applications in the histological diagnosis of prostate cancer. BioMed Central 2013-02-18 /pmc/articles/PMC3583746/ /pubmed/23414368 http://dx.doi.org/10.1186/1472-6890-13-6 Text en Copyright ©2013 de Arruda et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
de Arruda, Pedro Francisco Ferraz
Gatti, Márcio
Junior, Fernando Nestor Facio
de Arruda, José Germano Ferraz
Moreira, Roberto Douglas
Murta, Luiz Otávio
de Arruda, Laísa Ferraz
de Godoy, Moacir Fernandes
Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer
title Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer
title_full Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer
title_fullStr Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer
title_full_unstemmed Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer
title_short Quantification of fractal dimension and Shannon’s entropy in histological diagnosis of prostate cancer
title_sort quantification of fractal dimension and shannon’s entropy in histological diagnosis of prostate cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3583746/
https://www.ncbi.nlm.nih.gov/pubmed/23414368
http://dx.doi.org/10.1186/1472-6890-13-6
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