Comparison of the application value of spiral computed tomography and x-ray examination in the differential diagnosis of lung cancer and benign lung tumors
Background:The differential diagnosis of lung cancer (LC) and benign lung tumors is challenging in clinic.Spiral computed tomography (CT) and X-ray are commonly utilized imaging techniques.Accordingly, the practical significance of CT and X-ray imaging in the differential identification of benign versus malignant pulmonary neoplasms was explored.Materials and Methods: A retrospective analysis was performed on data from 105 patients who had undergone both CT and X-ray examinations to evaluate variations in peripheral blood tumor markers.The imaging features of benign and malignant lung tumors were compared, and the diagnostic efficacy of CT and X-ray was assessed.Results: CT examination of patients with unilateral lung tumors or lung insufficiency demonstrated a greatly higher detection rate of speculated lesions compared to X-ray.Additionally, tumor markers showed a positive correlation with tumor size.The positive rate for differential diagnosis using CT was notably superior to that of X-ray (P<0.05).The sensitivity (Sen), specificity (Spe), accuracy (Acc), positive predictive value, and negative predictive value of CT and X-ray in differential diagnosis were 86.4%, 68.3%, 94.9%, 74.4%, 89.5%, 70.5%, 96.6%, 81.8%, 80.4%, and 58.0%, respectively.CT was considerably more valuable for differential diagnosis (P<0.05).Conclusion: X-ray and CT scans serve as pivotal diagnostic tools for distinguishing between benign and malignant pulmonary neoplasms.CT has a better effect in the differential diagnosis of lung tumors, and its imaging performance is more comprehensive, which is worthy of clinical application.
Authors
- Jie Xu (ORCID: https://orcid.org/0000-0002-5960-9174)
- Bei He (ORCID: https://orcid.org/0000-0002-3181-6614)
- Lu Wang (ORCID: https://orcid.org/0000-0002-5881-6139)
- Bing Li (ORCID: https://orcid.org/0000-0003-3468-6322)
- Xiaomao Xu
Institutions
- Zhejiang Provincial People's Hospital (CN)
- Shaoxing People's Hospital (CN)
Publication Details
- Journal
- International Journal of Radiation Research
- Published
- 2025-05-01
- DOI
- https://doi.org/10.61186/ijrr.23.2.12
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Department of Education of Zhejiang Province