Cargando…

Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram

BACKGROUND: The number of incidental findings of pulmonary nodules using imaging methods to diagnose other thoracic or extrathoracic conditions has increased, suggesting the need for in-depth radiological image analyses to identify nodule type and avoid unnecessary invasive procedures. OBJECTIVES: T...

Descripción completa

Detalles Bibliográficos
Autores principales: Borguezan, Bruno Max, Lopes, Agnaldo José, Saito, Eduardo Haruo, Higa, Claudio, Silva, Aristófanes Corrêa, Nunes, Rodolfo Acatauassú
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6800929/
https://www.ncbi.nlm.nih.gov/pubmed/31687208
http://dx.doi.org/10.1155/2019/4071762
_version_ 1783460499176816640
author Borguezan, Bruno Max
Lopes, Agnaldo José
Saito, Eduardo Haruo
Higa, Claudio
Silva, Aristófanes Corrêa
Nunes, Rodolfo Acatauassú
author_facet Borguezan, Bruno Max
Lopes, Agnaldo José
Saito, Eduardo Haruo
Higa, Claudio
Silva, Aristófanes Corrêa
Nunes, Rodolfo Acatauassú
author_sort Borguezan, Bruno Max
collection PubMed
description BACKGROUND: The number of incidental findings of pulmonary nodules using imaging methods to diagnose other thoracic or extrathoracic conditions has increased, suggesting the need for in-depth radiological image analyses to identify nodule type and avoid unnecessary invasive procedures. OBJECTIVES: The present study evaluated solid indeterminate nodules with a radiological stability suggesting benignity (SINRSBs) through a texture analysis of computed tomography (CT) images. METHODS: A total of 100 chest CT scans were evaluated, including 50 cases of SINRSBs and 50 cases of malignant nodules. SINRSB CT scans were performed using the same noncontrast enhanced CT protocol and equipment; the malignant nodule data were acquired from several databases. The kurtosis (KUR) and skewness (SKW) values of these tests were determined for the whole volume of each nodule, and the histograms were classified into two basic patterns: peaks or plateaus. RESULTS: The mean (MEN) KUR values of the SINRSBs and malignant nodules were 3.37 ± 3.88 and 5.88 ± 5.11, respectively. The receiver operating characteristic (ROC) curve showed that the sensitivity and specificity for distinguishing SINRSBs from malignant nodules were 65% and 66% for KUR values >6, respectively, with an area under the curve (AUC) of 0.709 (p < 0.0001). The MEN SKW values of the SINRSBs and malignant nodules were 1.73 ± 0.94 and 2.07 ± 1.01, respectively. The ROC curve showed that the sensitivity and specificity for distinguishing malignant nodules from SINRSBs were 65% and 66% for SKW values >3.1, respectively, with an AUC of 0.709 (p < 0.0001). An analysis of the peak and plateau histograms revealed sensitivity, specificity, and accuracy values of 84%, 74%, and 79%, respectively. CONCLUSIONS: KUR, SKW, and histogram shape can help to noninvasively diagnose SINRSBs but should not be used alone or without considering clinical data.
format Online
Article
Text
id pubmed-6800929
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-68009292019-11-04 Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram Borguezan, Bruno Max Lopes, Agnaldo José Saito, Eduardo Haruo Higa, Claudio Silva, Aristófanes Corrêa Nunes, Rodolfo Acatauassú Pulm Med Research Article BACKGROUND: The number of incidental findings of pulmonary nodules using imaging methods to diagnose other thoracic or extrathoracic conditions has increased, suggesting the need for in-depth radiological image analyses to identify nodule type and avoid unnecessary invasive procedures. OBJECTIVES: The present study evaluated solid indeterminate nodules with a radiological stability suggesting benignity (SINRSBs) through a texture analysis of computed tomography (CT) images. METHODS: A total of 100 chest CT scans were evaluated, including 50 cases of SINRSBs and 50 cases of malignant nodules. SINRSB CT scans were performed using the same noncontrast enhanced CT protocol and equipment; the malignant nodule data were acquired from several databases. The kurtosis (KUR) and skewness (SKW) values of these tests were determined for the whole volume of each nodule, and the histograms were classified into two basic patterns: peaks or plateaus. RESULTS: The mean (MEN) KUR values of the SINRSBs and malignant nodules were 3.37 ± 3.88 and 5.88 ± 5.11, respectively. The receiver operating characteristic (ROC) curve showed that the sensitivity and specificity for distinguishing SINRSBs from malignant nodules were 65% and 66% for KUR values >6, respectively, with an area under the curve (AUC) of 0.709 (p < 0.0001). The MEN SKW values of the SINRSBs and malignant nodules were 1.73 ± 0.94 and 2.07 ± 1.01, respectively. The ROC curve showed that the sensitivity and specificity for distinguishing malignant nodules from SINRSBs were 65% and 66% for SKW values >3.1, respectively, with an AUC of 0.709 (p < 0.0001). An analysis of the peak and plateau histograms revealed sensitivity, specificity, and accuracy values of 84%, 74%, and 79%, respectively. CONCLUSIONS: KUR, SKW, and histogram shape can help to noninvasively diagnose SINRSBs but should not be used alone or without considering clinical data. Hindawi 2019-10-07 /pmc/articles/PMC6800929/ /pubmed/31687208 http://dx.doi.org/10.1155/2019/4071762 Text en Copyright © 2019 Bruno Max Borguezan et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Borguezan, Bruno Max
Lopes, Agnaldo José
Saito, Eduardo Haruo
Higa, Claudio
Silva, Aristófanes Corrêa
Nunes, Rodolfo Acatauassú
Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram
title Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram
title_full Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram
title_fullStr Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram
title_full_unstemmed Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram
title_short Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram
title_sort solid indeterminate nodules with a radiological stability suggesting benignity: a texture analysis of computed tomography images based on the kurtosis and skewness of the nodule volume density histogram
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6800929/
https://www.ncbi.nlm.nih.gov/pubmed/31687208
http://dx.doi.org/10.1155/2019/4071762
work_keys_str_mv AT borguezanbrunomax solidindeterminatenoduleswitharadiologicalstabilitysuggestingbenignityatextureanalysisofcomputedtomographyimagesbasedonthekurtosisandskewnessofthenodulevolumedensityhistogram
AT lopesagnaldojose solidindeterminatenoduleswitharadiologicalstabilitysuggestingbenignityatextureanalysisofcomputedtomographyimagesbasedonthekurtosisandskewnessofthenodulevolumedensityhistogram
AT saitoeduardoharuo solidindeterminatenoduleswitharadiologicalstabilitysuggestingbenignityatextureanalysisofcomputedtomographyimagesbasedonthekurtosisandskewnessofthenodulevolumedensityhistogram
AT higaclaudio solidindeterminatenoduleswitharadiologicalstabilitysuggestingbenignityatextureanalysisofcomputedtomographyimagesbasedonthekurtosisandskewnessofthenodulevolumedensityhistogram
AT silvaaristofanescorrea solidindeterminatenoduleswitharadiologicalstabilitysuggestingbenignityatextureanalysisofcomputedtomographyimagesbasedonthekurtosisandskewnessofthenodulevolumedensityhistogram
AT nunesrodolfoacatauassu solidindeterminatenoduleswitharadiologicalstabilitysuggestingbenignityatextureanalysisofcomputedtomographyimagesbasedonthekurtosisandskewnessofthenodulevolumedensityhistogram