Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution
Abstract Objective The study aimed to evaluate the application value of computed tomography (CT) three-dimensional (3D) reconstruction technology in identifying benign and malignant lung nodules and characterizing the distribution of the nodules. Methods CT 3D reconstruction was performed for lung n...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | BMC Medical Imaging |
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| Online Access: | https://doi.org/10.1186/s12880-024-01505-z |
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| author | Guanghai Ji Fei Liu Zhiqiang Chen Jie Peng Hao Deng Sheng Xiao Yun Li |
| author_facet | Guanghai Ji Fei Liu Zhiqiang Chen Jie Peng Hao Deng Sheng Xiao Yun Li |
| author_sort | Guanghai Ji |
| collection | DOAJ |
| description | Abstract Objective The study aimed to evaluate the application value of computed tomography (CT) three-dimensional (3D) reconstruction technology in identifying benign and malignant lung nodules and characterizing the distribution of the nodules. Methods CT 3D reconstruction was performed for lung nodules. Pathological results were used as the gold standard to compare the detection rates of various lung nodule signs between conventional chest CT scanning and CT 3D reconstruction techniques. Additionally, the differences in mean diffusion coefficient values and partial anisotropy index values between male and female patients were analyzed. Results Pathologic confirmation identified 30 patients with benign lesions and 45 patients with malignant lesions. CT 3D reconstruction demonstrated higher diagnostic accuracy for lung nodule imaging signs compared to conventional CT scanning (P < 0.05). The mean diffusion coefficient values and partial anisotropy index values were lower in female patients compared to male patients in the lung nodule lesion area, lung perinodular edema area, and normal lung tissue (P < 0.05). Conventional CT scanning showed a benign accuracy rate of 63.33% and a malignant accuracy rate of 60.00%, whereas CT 3D imaging achieved a benign and malignant accuracy rate of 86.67% for both. The accuracy rates for CT 3D imaging were significantly higher than those for conventional CT scanning (P < 0.05). Conclusion CT 3D imaging technology demonstrates high diagnostic accuracy in differentiating benign from malignant lung nodules. |
| format | Article |
| id | doaj-art-dafbe34817824e5499c8c4f98eb6d293 |
| institution | Kabale University |
| issn | 1471-2342 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Imaging |
| spelling | doaj-art-dafbe34817824e5499c8c4f98eb6d2932025-01-12T12:44:46ZengBMCBMC Medical Imaging1471-23422025-01-012511810.1186/s12880-024-01505-zApplication value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distributionGuanghai Ji0Fei Liu1Zhiqiang Chen2Jie Peng3Hao Deng4Sheng Xiao5Yun Li6Department of Radiology, The First Affiliated Hospital of Yangtze UniversityDepartment of Radiology, The First Affiliated Hospital of Yangtze UniversityDepartment of Radiology, The First Hospital Affiliated of Hainan Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Yangtze UniversityDepartment of Urology, The First Affiliated Hospital of Yangtze UniversityDepartment of Radiology, The First Affiliated Hospital of Yangtze UniversityDepartment of Radiology, The First Affiliated Hospital of Yangtze UniversityAbstract Objective The study aimed to evaluate the application value of computed tomography (CT) three-dimensional (3D) reconstruction technology in identifying benign and malignant lung nodules and characterizing the distribution of the nodules. Methods CT 3D reconstruction was performed for lung nodules. Pathological results were used as the gold standard to compare the detection rates of various lung nodule signs between conventional chest CT scanning and CT 3D reconstruction techniques. Additionally, the differences in mean diffusion coefficient values and partial anisotropy index values between male and female patients were analyzed. Results Pathologic confirmation identified 30 patients with benign lesions and 45 patients with malignant lesions. CT 3D reconstruction demonstrated higher diagnostic accuracy for lung nodule imaging signs compared to conventional CT scanning (P < 0.05). The mean diffusion coefficient values and partial anisotropy index values were lower in female patients compared to male patients in the lung nodule lesion area, lung perinodular edema area, and normal lung tissue (P < 0.05). Conventional CT scanning showed a benign accuracy rate of 63.33% and a malignant accuracy rate of 60.00%, whereas CT 3D imaging achieved a benign and malignant accuracy rate of 86.67% for both. The accuracy rates for CT 3D imaging were significantly higher than those for conventional CT scanning (P < 0.05). Conclusion CT 3D imaging technology demonstrates high diagnostic accuracy in differentiating benign from malignant lung nodules.https://doi.org/10.1186/s12880-024-01505-zComputed tomographyLung nodulesLung tumorsThoracic tumorsDiagnostic imaging |
| spellingShingle | Guanghai Ji Fei Liu Zhiqiang Chen Jie Peng Hao Deng Sheng Xiao Yun Li Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution BMC Medical Imaging Computed tomography Lung nodules Lung tumors Thoracic tumors Diagnostic imaging |
| title | Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution |
| title_full | Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution |
| title_fullStr | Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution |
| title_full_unstemmed | Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution |
| title_short | Application value of CT three-dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution |
| title_sort | application value of ct three dimensional reconstruction technology in the identification of benign and malignant lung nodules and the characteristics of nodule distribution |
| topic | Computed tomography Lung nodules Lung tumors Thoracic tumors Diagnostic imaging |
| url | https://doi.org/10.1186/s12880-024-01505-z |
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