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Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

BACKGROUND: The computed tomography (CT) features of small solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study was to analyze the CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. METHODS: Be...

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Autores principales: Chu, Zhi-gang, Zhang, Yan, Li, Wang-jia, Li, Qi, Zheng, Yi-neng, Lv, Fa-jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836448/
https://www.ncbi.nlm.nih.gov/pubmed/31699047
http://dx.doi.org/10.1186/s12885-019-6274-0
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author Chu, Zhi-gang
Zhang, Yan
Li, Wang-jia
Li, Qi
Zheng, Yi-neng
Lv, Fa-jin
author_facet Chu, Zhi-gang
Zhang, Yan
Li, Wang-jia
Li, Qi
Zheng, Yi-neng
Lv, Fa-jin
author_sort Chu, Zhi-gang
collection PubMed
description BACKGROUND: The computed tomography (CT) features of small solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study was to analyze the CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. METHODS: Between February 2013 and April 2018, a consecutive cohort of 224 patients (225 nodules) with confirmed primary SLCNs was enrolled. The nodules were divided into four groups based on tumor diameter (A: diameter ≤ 1.0 cm, 35 lesions; B: 1.0 cm < diameter ≤ 1.5 cm, 60 lesions; C: 1.5 cm < diameter ≤ 2.0 cm, 63 lesions; and D: 2.0 cm < diameter ≤ 3.0 cm, 67 lesions). CT features of nodules within each group were summarized and compared. RESULTS: Most nodules in different groups were located in upper lobes (groups A − D:50.8%–73.1%) and had a gap from the pleura (groups A − D:89.6%–100%). The main CT features of smaller (diameter ≤ 1 cm) and larger (diameter > 1 cm) nodules were significantly different. As nodule diameter increased, more lesions showed a regular shape, homogeneous density, clear but coarse tumor–lung interface, lobulation, spiculation, spinous protuberance, vascular convergence, pleural retraction, bronchial truncation, and beam-shaped opacity (p < 0.05 for all). The presence of halo sign in all groups was similar (17.5%–22.5%; p > 0.05). CONCLUSIONS: The CT features vary among SLCNs with different sizes. Understanding their changing regularity is helpful for identifying smaller suspicious malignant nodules and early determining their nature in follow-up.
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spelling pubmed-68364482019-11-08 Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations Chu, Zhi-gang Zhang, Yan Li, Wang-jia Li, Qi Zheng, Yi-neng Lv, Fa-jin BMC Cancer Research Article BACKGROUND: The computed tomography (CT) features of small solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study was to analyze the CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. METHODS: Between February 2013 and April 2018, a consecutive cohort of 224 patients (225 nodules) with confirmed primary SLCNs was enrolled. The nodules were divided into four groups based on tumor diameter (A: diameter ≤ 1.0 cm, 35 lesions; B: 1.0 cm < diameter ≤ 1.5 cm, 60 lesions; C: 1.5 cm < diameter ≤ 2.0 cm, 63 lesions; and D: 2.0 cm < diameter ≤ 3.0 cm, 67 lesions). CT features of nodules within each group were summarized and compared. RESULTS: Most nodules in different groups were located in upper lobes (groups A − D:50.8%–73.1%) and had a gap from the pleura (groups A − D:89.6%–100%). The main CT features of smaller (diameter ≤ 1 cm) and larger (diameter > 1 cm) nodules were significantly different. As nodule diameter increased, more lesions showed a regular shape, homogeneous density, clear but coarse tumor–lung interface, lobulation, spiculation, spinous protuberance, vascular convergence, pleural retraction, bronchial truncation, and beam-shaped opacity (p < 0.05 for all). The presence of halo sign in all groups was similar (17.5%–22.5%; p > 0.05). CONCLUSIONS: The CT features vary among SLCNs with different sizes. Understanding their changing regularity is helpful for identifying smaller suspicious malignant nodules and early determining their nature in follow-up. BioMed Central 2019-11-07 /pmc/articles/PMC6836448/ /pubmed/31699047 http://dx.doi.org/10.1186/s12885-019-6274-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Chu, Zhi-gang
Zhang, Yan
Li, Wang-jia
Li, Qi
Zheng, Yi-neng
Lv, Fa-jin
Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations
title Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations
title_full Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations
title_fullStr Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations
title_full_unstemmed Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations
title_short Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations
title_sort primary solid lung cancerous nodules with different sizes: computed tomography features and their variations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836448/
https://www.ncbi.nlm.nih.gov/pubmed/31699047
http://dx.doi.org/10.1186/s12885-019-6274-0
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