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孤立性肺结节恶性概率预测模型的研究进展及临床应用
With the popularization of computed tomography (CT) examinations, the incidence of solitary pulmonary nodules (SPNs) has increased significantly. The assessment of benign and malignant pulmonary nodules is crucial to the diagnosis and treatment of lung nodules. Many models for predicting the maligna...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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中国肺癌杂志编辑部
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503979/ https://www.ncbi.nlm.nih.gov/pubmed/34455736 http://dx.doi.org/10.3779/j.issn.1009-3419.2021.102.29 |
_version_ | 1784581236086276096 |
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collection | PubMed |
description | With the popularization of computed tomography (CT) examinations, the incidence of solitary pulmonary nodules (SPNs) has increased significantly. The assessment of benign and malignant pulmonary nodules is crucial to the diagnosis and treatment of lung nodules. Many models for predicting the malignant probability of lung nodules have been developed. These models assess the malignant probability of lung nodules based on the clinical and imaging characteristics of patients. In recent years, malignant probability prediction models have gradually attracted attention in China. Based on the researches on the malignant probability prediction model of pulmonary nodule, focusing on the establishment or verification of the model in the Chinese patient population, this paper reviews the research progress and clinical application of the malignant probability prediction model of pulmonary nodule, and proposes ideas for the future development. |
format | Online Article Text |
id | pubmed-8503979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | 中国肺癌杂志编辑部 |
record_format | MEDLINE/PubMed |
spelling | pubmed-85039792021-10-22 孤立性肺结节恶性概率预测模型的研究进展及临床应用 Zhongguo Fei Ai Za Zhi 综述 With the popularization of computed tomography (CT) examinations, the incidence of solitary pulmonary nodules (SPNs) has increased significantly. The assessment of benign and malignant pulmonary nodules is crucial to the diagnosis and treatment of lung nodules. Many models for predicting the malignant probability of lung nodules have been developed. These models assess the malignant probability of lung nodules based on the clinical and imaging characteristics of patients. In recent years, malignant probability prediction models have gradually attracted attention in China. Based on the researches on the malignant probability prediction model of pulmonary nodule, focusing on the establishment or verification of the model in the Chinese patient population, this paper reviews the research progress and clinical application of the malignant probability prediction model of pulmonary nodule, and proposes ideas for the future development. 中国肺癌杂志编辑部 2021-09-20 /pmc/articles/PMC8503979/ /pubmed/34455736 http://dx.doi.org/10.3779/j.issn.1009-3419.2021.102.29 Text en 版权所有©《中国肺癌杂志》编辑部2021 https://creativecommons.org/licenses/by/3.0/This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 3.0) License. See: https://creativecommons.org/licenses/by/3.0/. |
spellingShingle | 综述 孤立性肺结节恶性概率预测模型的研究进展及临床应用 |
title | 孤立性肺结节恶性概率预测模型的研究进展及临床应用 |
title_full | 孤立性肺结节恶性概率预测模型的研究进展及临床应用 |
title_fullStr | 孤立性肺结节恶性概率预测模型的研究进展及临床应用 |
title_full_unstemmed | 孤立性肺结节恶性概率预测模型的研究进展及临床应用 |
title_short | 孤立性肺结节恶性概率预测模型的研究进展及临床应用 |
title_sort | 孤立性肺结节恶性概率预测模型的研究进展及临床应用 |
topic | 综述 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503979/ https://www.ncbi.nlm.nih.gov/pubmed/34455736 http://dx.doi.org/10.3779/j.issn.1009-3419.2021.102.29 |
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