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Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography
PURPOSE: To investigate the clinical and computed tomography (CT) characteristics of absorbable pulmonary solid nodules (PSNs) and to clarify CT features for distinguishing absorbable PSNs from malignant ones. MATERIALS AND METHODS: From January 2015 to February 2021, a total of 316 patients with 34...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259943/ https://www.ncbi.nlm.nih.gov/pubmed/34239316 http://dx.doi.org/10.2147/JIR.S318125 |
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author | Lin, Rui-Yu Lv, Fa-Jin Fu, Bin-Jie Li, Wang-Jia Liang, Zhang-Rui Chu, Zhi-Gang |
author_facet | Lin, Rui-Yu Lv, Fa-Jin Fu, Bin-Jie Li, Wang-Jia Liang, Zhang-Rui Chu, Zhi-Gang |
author_sort | Lin, Rui-Yu |
collection | PubMed |
description | PURPOSE: To investigate the clinical and computed tomography (CT) characteristics of absorbable pulmonary solid nodules (PSNs) and to clarify CT features for distinguishing absorbable PSNs from malignant ones. MATERIALS AND METHODS: From January 2015 to February 2021, a total of 316 patients with 348 PSNs (171 absorbable and 177 size-matched malignant) were retrospectively enrolled. Their clinical and CT data were analyzed and compared to determine CT features for predicting absorbable PSNs. RESULTS: Between absorbable and malignant PSNs, there were significant differences in patients’ age, lesions’ locations, shapes, homogeneity, borders, distance from the pleura, vacuoles, air bronchograms, lobulation, spiculation, halo sign, multiple concomitant nodules and pleural indentation (each P < 0.05). Multivariate analysis revealed that the independent predictors of absorbable PSNs were the following: patient age ≤55 years (OR, 2.660; 95% CI, 1.432–4.942; P = 0.002), homogeneous density (OR, 2.487; 95% CI, 1.107–5.590; P = 0.027), ill-defined border (OR, 5.445; 95% CI, 1.661–17.846; P = 0.005), halo sign (OR, 3.135; 95% CI, 1.154–8.513; P = 0.025), multiple concomitant nodules (OR, 8.700; 95% CI, 4.401–17.197; P<0.001), and abutting pleura (OR, 3.759; 95% CI, 1.407–10.044; P = 0.008). The indicators for malignant PSNs were the following: lobulation (OR, 3.904; 95% CI, 1.956–7.791; P<0.001), spiculation (OR, 4.980; 95% CI, 2.202–11.266, P<0.001), and pleural indentation (OR, 4.514; 95% CI, 1.223–16.666; P = 0.024). CONCLUSION: In patients younger than 55 years, PSNs with homogeneous density, ill-defined border, halo sign, multiple concomitant nodules, and abutting pleura should be highly suspected as absorbable ones. |
format | Online Article Text |
id | pubmed-8259943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-82599432021-07-07 Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography Lin, Rui-Yu Lv, Fa-Jin Fu, Bin-Jie Li, Wang-Jia Liang, Zhang-Rui Chu, Zhi-Gang J Inflamm Res Original Research PURPOSE: To investigate the clinical and computed tomography (CT) characteristics of absorbable pulmonary solid nodules (PSNs) and to clarify CT features for distinguishing absorbable PSNs from malignant ones. MATERIALS AND METHODS: From January 2015 to February 2021, a total of 316 patients with 348 PSNs (171 absorbable and 177 size-matched malignant) were retrospectively enrolled. Their clinical and CT data were analyzed and compared to determine CT features for predicting absorbable PSNs. RESULTS: Between absorbable and malignant PSNs, there were significant differences in patients’ age, lesions’ locations, shapes, homogeneity, borders, distance from the pleura, vacuoles, air bronchograms, lobulation, spiculation, halo sign, multiple concomitant nodules and pleural indentation (each P < 0.05). Multivariate analysis revealed that the independent predictors of absorbable PSNs were the following: patient age ≤55 years (OR, 2.660; 95% CI, 1.432–4.942; P = 0.002), homogeneous density (OR, 2.487; 95% CI, 1.107–5.590; P = 0.027), ill-defined border (OR, 5.445; 95% CI, 1.661–17.846; P = 0.005), halo sign (OR, 3.135; 95% CI, 1.154–8.513; P = 0.025), multiple concomitant nodules (OR, 8.700; 95% CI, 4.401–17.197; P<0.001), and abutting pleura (OR, 3.759; 95% CI, 1.407–10.044; P = 0.008). The indicators for malignant PSNs were the following: lobulation (OR, 3.904; 95% CI, 1.956–7.791; P<0.001), spiculation (OR, 4.980; 95% CI, 2.202–11.266, P<0.001), and pleural indentation (OR, 4.514; 95% CI, 1.223–16.666; P = 0.024). CONCLUSION: In patients younger than 55 years, PSNs with homogeneous density, ill-defined border, halo sign, multiple concomitant nodules, and abutting pleura should be highly suspected as absorbable ones. Dove 2021-07-02 /pmc/articles/PMC8259943/ /pubmed/34239316 http://dx.doi.org/10.2147/JIR.S318125 Text en © 2021 Lin et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Lin, Rui-Yu Lv, Fa-Jin Fu, Bin-Jie Li, Wang-Jia Liang, Zhang-Rui Chu, Zhi-Gang Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography |
title | Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography |
title_full | Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography |
title_fullStr | Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography |
title_full_unstemmed | Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography |
title_short | Features for Predicting Absorbable Pulmonary Solid Nodules as Depicted on Thin-Section Computed Tomography |
title_sort | features for predicting absorbable pulmonary solid nodules as depicted on thin-section computed tomography |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259943/ https://www.ncbi.nlm.nih.gov/pubmed/34239316 http://dx.doi.org/10.2147/JIR.S318125 |
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