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Differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography

BACKGROUND: Previous studies confirmed that ground-glass nodules (GGNs) with certain CT manifestations had a higher probability of malignancy. However, differentiating patchy ground-glass opacities (GGOs) and GGNs has not been discussed solely. This study aimed to investigate the differences between...

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Autores principales: Liang, Zhang-rui, Ye, Min, Lv, Fa-jin, Fu, Bin-jie, Lin, Rui-yu, Li, Wang-jia, Chu, Zhi-gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694865/
https://www.ncbi.nlm.nih.gov/pubmed/36424538
http://dx.doi.org/10.1186/s12885-022-10338-4
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author Liang, Zhang-rui
Ye, Min
Lv, Fa-jin
Fu, Bin-jie
Lin, Rui-yu
Li, Wang-jia
Chu, Zhi-gang
author_facet Liang, Zhang-rui
Ye, Min
Lv, Fa-jin
Fu, Bin-jie
Lin, Rui-yu
Li, Wang-jia
Chu, Zhi-gang
author_sort Liang, Zhang-rui
collection PubMed
description BACKGROUND: Previous studies confirmed that ground-glass nodules (GGNs) with certain CT manifestations had a higher probability of malignancy. However, differentiating patchy ground-glass opacities (GGOs) and GGNs has not been discussed solely. This study aimed to investigate the differences between the CT features of benign and malignant patchy GGOs to improve the differential diagnosis. METHODS: From January 2016 to September 2021, 226 patients with 247 patchy GGOs (103 benign and 144 malignant) confirmed by postoperative pathological examination or follow-up were retrospectively enrolled. Their clinical and CT data were reviewed, and their CT features were compared. A binary logistic regression analysis was performed to reveal the predictors of malignancy. RESULTS: Compared to patients with benign patchy GGOs, malignant cases were older (P <  0.001), had a lower incidence of malignant tumor history (P = 0.003), and more commonly occurred in females (P = 0.012). Based on CT images, there were significant differences in the location, distribution, density pattern, internal bronchial changes, and boundary between malignant and benign GGOs (P <  0.05). The binary logistic regression analysis revealed that the independent predictors of malignant GGOs were the following: patient age ≥ 58 years [odds ratio (OR), 2.175; 95% confidence interval (CI), 1.135–6.496; P = 0.025], locating in the upper lobe (OR, 5.481; 95%CI, 2.027–14.818; P = 0.001), distributing along the bronchovascular bundles (OR, 12.770; 95%CI, 4.062–40.145; P < 0.001), centrally distributed solid component (OR, 3.024; 95%CI, 1.124–8.133; P = 0.028), and well-defined boundary (OR, 5.094; 95%CI, 2.079–12.482; P < 0.001). CONCLUSIONS: In older patients (≥58 years), well-defined patchy GGOs with centric solid component, locating in the upper lobe, and distributing along the bronchovascular bundles should be highly suspected as malignancy.
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spelling pubmed-96948652022-11-26 Differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography Liang, Zhang-rui Ye, Min Lv, Fa-jin Fu, Bin-jie Lin, Rui-yu Li, Wang-jia Chu, Zhi-gang BMC Cancer Research BACKGROUND: Previous studies confirmed that ground-glass nodules (GGNs) with certain CT manifestations had a higher probability of malignancy. However, differentiating patchy ground-glass opacities (GGOs) and GGNs has not been discussed solely. This study aimed to investigate the differences between the CT features of benign and malignant patchy GGOs to improve the differential diagnosis. METHODS: From January 2016 to September 2021, 226 patients with 247 patchy GGOs (103 benign and 144 malignant) confirmed by postoperative pathological examination or follow-up were retrospectively enrolled. Their clinical and CT data were reviewed, and their CT features were compared. A binary logistic regression analysis was performed to reveal the predictors of malignancy. RESULTS: Compared to patients with benign patchy GGOs, malignant cases were older (P <  0.001), had a lower incidence of malignant tumor history (P = 0.003), and more commonly occurred in females (P = 0.012). Based on CT images, there were significant differences in the location, distribution, density pattern, internal bronchial changes, and boundary between malignant and benign GGOs (P <  0.05). The binary logistic regression analysis revealed that the independent predictors of malignant GGOs were the following: patient age ≥ 58 years [odds ratio (OR), 2.175; 95% confidence interval (CI), 1.135–6.496; P = 0.025], locating in the upper lobe (OR, 5.481; 95%CI, 2.027–14.818; P = 0.001), distributing along the bronchovascular bundles (OR, 12.770; 95%CI, 4.062–40.145; P < 0.001), centrally distributed solid component (OR, 3.024; 95%CI, 1.124–8.133; P = 0.028), and well-defined boundary (OR, 5.094; 95%CI, 2.079–12.482; P < 0.001). CONCLUSIONS: In older patients (≥58 years), well-defined patchy GGOs with centric solid component, locating in the upper lobe, and distributing along the bronchovascular bundles should be highly suspected as malignancy. BioMed Central 2022-11-23 /pmc/articles/PMC9694865/ /pubmed/36424538 http://dx.doi.org/10.1186/s12885-022-10338-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liang, Zhang-rui
Ye, Min
Lv, Fa-jin
Fu, Bin-jie
Lin, Rui-yu
Li, Wang-jia
Chu, Zhi-gang
Differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography
title Differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography
title_full Differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography
title_fullStr Differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography
title_full_unstemmed Differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography
title_short Differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography
title_sort differential diagnosis of benign and malignant patchy ground-glass opacity by thin-section computed tomography
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694865/
https://www.ncbi.nlm.nih.gov/pubmed/36424538
http://dx.doi.org/10.1186/s12885-022-10338-4
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