Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT: Cancer Risk Assessment
Background and objective The management of pulmonary nodules relies on cancer risk assessment, in which the only widely accepted criterion is diameter. The development of volumetric computed tomography (CT) and three-dimensional (3D) software enhances the clarity in displaying the nodules’ character...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | zho |
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Chinese Anti-Cancer Association; Chinese Antituberculosis Association
2016-05-01
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| Series: | Chinese Journal of Lung Cancer |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.3779/j.issn.1009-3419.2016.05.05 |
| _version_ | 1824032320402751488 |
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| author | Mengqi LI Rongcheng HAN Wenjing SONG Xinyue WANG Fangfang GUO Datong SU Tielian YU Ying WANG |
| author_facet | Mengqi LI Rongcheng HAN Wenjing SONG Xinyue WANG Fangfang GUO Datong SU Tielian YU Ying WANG |
| author_sort | Mengqi LI |
| collection | DOAJ |
| description | Background and objective The management of pulmonary nodules relies on cancer risk assessment, in which the only widely accepted criterion is diameter. The development of volumetric computed tomography (CT) and three-dimensional (3D) software enhances the clarity in displaying the nodules’ characteristics. This study evaluated the values of the nodules’ volume and 3D morphological characteristics (edge, shape and location) in cancer risk assessment. Methods The CT data of 200 pulmonary nodules were retrospectively evaluated using 3D volumetric software. The malignancy or benignity of all the nodules was confirmed by pathology, histology or follow up (>2 years). Logistic regression analysis was performed to calculate the odds ratios (ORs) of the 3D margin (smooth, lobulated or spiculated/irregular), shape (spherical or non-spherical), location (purely intraparenchymal, juxtavascular or pleural-attached), and nodule volume in cancer risk assessment for total and sub-centimeter nodules. The receiver operating characteristic (ROC) curve was employed to determine the optimal threshold for the nodule volume. Results Out of 200 pulmonary nodules, 78 were malignant, whereas 122 were benign. The Logistic regression analysis showed that the volume (OR=3.3; P<0.001) and the 3D margin (OR=13.4, 9.8; both P=0.001) were independent predictive factors of malignancy, whereas the location and 3D shape exhibited no total predictive value (P>0.05). ROC analysis showed that the optimal threshold for malignancy was 666 mm³. For sub-centimeter nodules, the 3D margin was the only valuable predictive factor of malignancy (OR=60.5, 75.0; P=0.003, 0.007). Conclusion The volume and 3D margin are important factors considered to assess the cancer risk of pulmonary nodules. Volumes larger than 666 mm³ can be determined as high risk for pulmonary nodules; by contrast, nodules with lobulated, spiculated, or irregular margin present a high malignancy probability. |
| first_indexed | 2024-12-20T11:59:10Z |
| format | Article |
| id | doaj.art-667aa466faf34a02be21d7218ac2ba38 |
| institution | Directory Open Access Journal |
| issn | 1009-3419 1999-6187 |
| language | zho |
| last_indexed | 2024-12-20T11:59:10Z |
| publishDate | 2016-05-01 |
| publisher | Chinese Anti-Cancer Association; Chinese Antituberculosis Association |
| record_format | Article |
| series | Chinese Journal of Lung Cancer |
| spelling | doaj.art-667aa466faf34a02be21d7218ac2ba382022-12-21T19:41:36ZzhoChinese Anti-Cancer Association; Chinese Antituberculosis AssociationChinese Journal of Lung Cancer1009-34191999-61872016-05-0119527928510.3779/j.issn.1009-3419.2016.05.05Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT:
Cancer Risk AssessmentMengqi LI0Rongcheng HAN1Wenjing SONG2Xinyue WANG3Fangfang GUO4Datong SU5Tielian YU6Ying WANG7Department of RadiologyDepartment of RadiologyDepartment of Pathology, Tianjin Medical University General Hospital, Tianjin 300052, ChinaDepartment of RadiologyDepartment of RadiologyDepartment of RadiologyDepartment of RadiologyDepartment of RadiologyBackground and objective The management of pulmonary nodules relies on cancer risk assessment, in which the only widely accepted criterion is diameter. The development of volumetric computed tomography (CT) and three-dimensional (3D) software enhances the clarity in displaying the nodules’ characteristics. This study evaluated the values of the nodules’ volume and 3D morphological characteristics (edge, shape and location) in cancer risk assessment. Methods The CT data of 200 pulmonary nodules were retrospectively evaluated using 3D volumetric software. The malignancy or benignity of all the nodules was confirmed by pathology, histology or follow up (>2 years). Logistic regression analysis was performed to calculate the odds ratios (ORs) of the 3D margin (smooth, lobulated or spiculated/irregular), shape (spherical or non-spherical), location (purely intraparenchymal, juxtavascular or pleural-attached), and nodule volume in cancer risk assessment for total and sub-centimeter nodules. The receiver operating characteristic (ROC) curve was employed to determine the optimal threshold for the nodule volume. Results Out of 200 pulmonary nodules, 78 were malignant, whereas 122 were benign. The Logistic regression analysis showed that the volume (OR=3.3; P<0.001) and the 3D margin (OR=13.4, 9.8; both P=0.001) were independent predictive factors of malignancy, whereas the location and 3D shape exhibited no total predictive value (P>0.05). ROC analysis showed that the optimal threshold for malignancy was 666 mm³. For sub-centimeter nodules, the 3D margin was the only valuable predictive factor of malignancy (OR=60.5, 75.0; P=0.003, 0.007). Conclusion The volume and 3D margin are important factors considered to assess the cancer risk of pulmonary nodules. Volumes larger than 666 mm³ can be determined as high risk for pulmonary nodules; by contrast, nodules with lobulated, spiculated, or irregular margin present a high malignancy probability.http://dx.doi.org/10.3779/j.issn.1009-3419.2016.05.05Pulmonary nodulesComputed tomographyVolumeThree-dimensional volumetric analysisCancer risk assessment |
| spellingShingle | Mengqi LI Rongcheng HAN Wenjing SONG Xinyue WANG Fangfang GUO Datong SU Tielian YU Ying WANG Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT: Cancer Risk Assessment Chinese Journal of Lung Cancer Pulmonary nodules Computed tomography Volume Three-dimensional volumetric analysis Cancer risk assessment |
| title | Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT:
Cancer Risk Assessment |
| title_full | Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT:
Cancer Risk Assessment |
| title_fullStr | Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT:
Cancer Risk Assessment |
| title_full_unstemmed | Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT:
Cancer Risk Assessment |
| title_short | Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT:
Cancer Risk Assessment |
| title_sort | three dimensional volumetric analysis of solid pulmonary nodules on chest ct
cancer risk assessment |
| topic | Pulmonary nodules Computed tomography Volume Three-dimensional volumetric analysis Cancer risk assessment |
| url | http://dx.doi.org/10.3779/j.issn.1009-3419.2016.05.05 |
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