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Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules

BACKGROUND: Advances in chest computed tomography (CT) have resulted in more frequent detection of subcentimeter pulmonary nodules (SCPNs), some of which are non‐benign and may represent invasive lung cancer. The present study aimed to explore the correlation between pathological diagnosis and the C...

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Autores principales: Hu, Benchuang, Ren, Wangang, Feng, Zhen, Li, Meng, Li, Xiao, Han, Rui, Peng, Zhongmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977167/
https://www.ncbi.nlm.nih.gov/pubmed/35212152
http://dx.doi.org/10.1111/1759-7714.14363
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author Hu, Benchuang
Ren, Wangang
Feng, Zhen
Li, Meng
Li, Xiao
Han, Rui
Peng, Zhongmin
author_facet Hu, Benchuang
Ren, Wangang
Feng, Zhen
Li, Meng
Li, Xiao
Han, Rui
Peng, Zhongmin
author_sort Hu, Benchuang
collection PubMed
description BACKGROUND: Advances in chest computed tomography (CT) have resulted in more frequent detection of subcentimeter pulmonary nodules (SCPNs), some of which are non‐benign and may represent invasive lung cancer. The present study aimed to explore the correlation between pathological diagnosis and the CT imaging manifestations of SCPNs. METHODS: This retrospective study included patients who underwent pulmonary resection for SCPNs at Shandong Provincial Hospital in China. Lesions were divided into five categories according to their morphological characteristics on CT: cotton ball, solid‐filled with spiculation, solid‐filled with smooth edges, mixed‐density ground‐glass, and vacuolar. We further analyzed lesion size, enhancement patterns, vascular aggregation, and SCPN traversing. Chi‐square tests, Fisher's exact tests, and Welch's one‐way analysis of variance were used to examine the correlation between CT imaging characteristics and pathological type. RESULTS: There were statistically significant differences in the morphological distributions of SCPNs with different pathological types, including benign lesions and malignant lesions at different stages (p < 0.01). The morphological distributions of the four subtypes of invasive lung adenocarcinoma also exhibited significant differences (p < 0.01). In addition, size and enhancement patterns differed significantly among different pathological types of SCPNs. CONCLUSION: Different pathological types of SCPNs exhibit significant differences based on their morphological category, size, and enhancement pattern on CT imaging. These CT characteristics may assist in the qualitative diagnosis of SCPNs.
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spelling pubmed-89771672022-04-05 Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules Hu, Benchuang Ren, Wangang Feng, Zhen Li, Meng Li, Xiao Han, Rui Peng, Zhongmin Thorac Cancer Original Articles BACKGROUND: Advances in chest computed tomography (CT) have resulted in more frequent detection of subcentimeter pulmonary nodules (SCPNs), some of which are non‐benign and may represent invasive lung cancer. The present study aimed to explore the correlation between pathological diagnosis and the CT imaging manifestations of SCPNs. METHODS: This retrospective study included patients who underwent pulmonary resection for SCPNs at Shandong Provincial Hospital in China. Lesions were divided into five categories according to their morphological characteristics on CT: cotton ball, solid‐filled with spiculation, solid‐filled with smooth edges, mixed‐density ground‐glass, and vacuolar. We further analyzed lesion size, enhancement patterns, vascular aggregation, and SCPN traversing. Chi‐square tests, Fisher's exact tests, and Welch's one‐way analysis of variance were used to examine the correlation between CT imaging characteristics and pathological type. RESULTS: There were statistically significant differences in the morphological distributions of SCPNs with different pathological types, including benign lesions and malignant lesions at different stages (p < 0.01). The morphological distributions of the four subtypes of invasive lung adenocarcinoma also exhibited significant differences (p < 0.01). In addition, size and enhancement patterns differed significantly among different pathological types of SCPNs. CONCLUSION: Different pathological types of SCPNs exhibit significant differences based on their morphological category, size, and enhancement pattern on CT imaging. These CT characteristics may assist in the qualitative diagnosis of SCPNs. John Wiley & Sons Australia, Ltd 2022-02-24 2022-04 /pmc/articles/PMC8977167/ /pubmed/35212152 http://dx.doi.org/10.1111/1759-7714.14363 Text en © 2022 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Hu, Benchuang
Ren, Wangang
Feng, Zhen
Li, Meng
Li, Xiao
Han, Rui
Peng, Zhongmin
Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules
title Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules
title_full Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules
title_fullStr Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules
title_full_unstemmed Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules
title_short Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules
title_sort correlation between ct imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977167/
https://www.ncbi.nlm.nih.gov/pubmed/35212152
http://dx.doi.org/10.1111/1759-7714.14363
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