Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules Based on Clinical Imaging Information
Background and objective Previous studies have shown that lymph node metastasis only occurs in some mixed ground-glass nodules (mGGNs) which the pathological results were invasive adenocarcinoma (IAC). However, the presence of lymph node metastasis leads to the upgrading of tumor-node-metastasis (TN...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | zho |
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Chinese Anti-Cancer Association; Chinese Antituberculosis Association
2023-02-01
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| Series: | Chinese Journal of Lung Cancer |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.3779/j.issn.1009-3419.2023.101.06 |
| _version_ | 1811155171137290240 |
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| author | Jian GAO Qingyi QI Hao Li Jie YU Jian ZHANG Bingbing LIN Xiao LI Nan HONG Yun LI |
| author_facet | Jian GAO Qingyi QI Hao Li Jie YU Jian ZHANG Bingbing LIN Xiao LI Nan HONG Yun LI |
| author_sort | Jian GAO |
| collection | DOAJ |
| description | Background and objective Previous studies have shown that lymph node metastasis only occurs in some mixed ground-glass nodules (mGGNs) which the pathological results were invasive adenocarcinoma (IAC). However, the presence of lymph node metastasis leads to the upgrading of tumor-node-metastasis (TNM) stage and worse prognosis of the patients, so it is important to perform the necessary evaluation before surgery to guide the operation method of lymph node. The aim of this study was to find suitable clinical and radiological indicators to distinguish whether mGGNs with pathology as IAC is accompanied by lymph node metastasis, and to construct a prediction model for lymph node metastasis. Methods From January 2014 to October 2019, the patients with resected IAC appearing as mGGNs in computed tomography (CT) scan were reviewed. All the lesions were divided into two groups (with lymph node metastasis or not) according to their lymph node status. Lasso regression model analysis by applying R software was used to evaluate the relationship between clinical and radiological parameters and lymph node metastasis of mGGNs. Results A total of 883 mGGNs patients were enroled in this study, among which, 12 (1.36%) showed lymph node metastasis. Lasso regression model analysis of clinical imaging information in mGGNs with lymph node metastasis showed that previous history of malignancy, mean density, mean density of solid components, burr sign and percentage of solid components were informative. Prediction model for lymph node metastasis in mGGNs was developed based on the results of Lasso regression model with area under curve=0.899. Conclusion Clinical information combined with CT imaging information can predict lymph node metastasis in mGGNs. |
| first_indexed | 2024-04-10T04:28:43Z |
| format | Article |
| id | doaj.art-9c7424d99dc84de0b618a9098b2f63d6 |
| institution | Directory Open Access Journal |
| issn | 1009-3419 1999-6187 |
| language | zho |
| last_indexed | 2024-04-10T04:28:43Z |
| publishDate | 2023-02-01 |
| publisher | Chinese Anti-Cancer Association; Chinese Antituberculosis Association |
| record_format | Article |
| series | Chinese Journal of Lung Cancer |
| spelling | doaj.art-9c7424d99dc84de0b618a9098b2f63d62023-03-10T08:31:04ZzhoChinese Anti-Cancer Association; Chinese Antituberculosis AssociationChinese Journal of Lung Cancer1009-34191999-61872023-02-0126211311810.3779/j.issn.1009-3419.2023.101.06Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules
Based on Clinical Imaging InformationJian GAO0Qingyi QI1Hao Li2Jie YU3Jian ZHANG4Bingbing LIN5Xiao LI6Nan HONG7Yun LI8Department of Thoracic Surgery, Thoracic Oncology InstituteDepartment of Radiology, Peking University People’s Hospital, Beijing 100044, ChinaDepartment of Thoracic Surgery, Thoracic Oncology InstituteQingdao Women and Children’s Hospital, Qingdao 266034, ChinaDepartment of Thoracic Surgery, Thoracic Oncology InstituteDepartment of Radiology, Peking University People’s Hospital, Beijing 100044, ChinaDepartment of Thoracic Surgery, Thoracic Oncology InstituteDepartment of Radiology, Peking University People’s Hospital, Beijing 100044, ChinaDepartment of Thoracic Surgery, Thoracic Oncology InstituteBackground and objective Previous studies have shown that lymph node metastasis only occurs in some mixed ground-glass nodules (mGGNs) which the pathological results were invasive adenocarcinoma (IAC). However, the presence of lymph node metastasis leads to the upgrading of tumor-node-metastasis (TNM) stage and worse prognosis of the patients, so it is important to perform the necessary evaluation before surgery to guide the operation method of lymph node. The aim of this study was to find suitable clinical and radiological indicators to distinguish whether mGGNs with pathology as IAC is accompanied by lymph node metastasis, and to construct a prediction model for lymph node metastasis. Methods From January 2014 to October 2019, the patients with resected IAC appearing as mGGNs in computed tomography (CT) scan were reviewed. All the lesions were divided into two groups (with lymph node metastasis or not) according to their lymph node status. Lasso regression model analysis by applying R software was used to evaluate the relationship between clinical and radiological parameters and lymph node metastasis of mGGNs. Results A total of 883 mGGNs patients were enroled in this study, among which, 12 (1.36%) showed lymph node metastasis. Lasso regression model analysis of clinical imaging information in mGGNs with lymph node metastasis showed that previous history of malignancy, mean density, mean density of solid components, burr sign and percentage of solid components were informative. Prediction model for lymph node metastasis in mGGNs was developed based on the results of Lasso regression model with area under curve=0.899. Conclusion Clinical information combined with CT imaging information can predict lymph node metastasis in mGGNs.http://dx.doi.org/10.3779/j.issn.1009-3419.2023.101.06mixed ground-glass noduleslymph node metastasisratio of solid component |
| spellingShingle | Jian GAO Qingyi QI Hao Li Jie YU Jian ZHANG Bingbing LIN Xiao LI Nan HONG Yun LI Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules Based on Clinical Imaging Information Chinese Journal of Lung Cancer mixed ground-glass nodules lymph node metastasis ratio of solid component |
| title | Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules
Based on Clinical Imaging Information |
| title_full | Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules
Based on Clinical Imaging Information |
| title_fullStr | Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules
Based on Clinical Imaging Information |
| title_full_unstemmed | Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules
Based on Clinical Imaging Information |
| title_short | Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules
Based on Clinical Imaging Information |
| title_sort | prediction of lymph node metastasis of mixed ground glass nodules
based on clinical imaging information |
| topic | mixed ground-glass nodules lymph node metastasis ratio of solid component |
| url | http://dx.doi.org/10.3779/j.issn.1009-3419.2023.101.06 |
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