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.

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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

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article

Comparison of the application value of spiral computed tomography and x-ray examination in the differential diagnosis of lung cancer and benign lung tumors

Jie Xu, Bei He, Lu Wang, Bing Li et al.
International Journal of Radiation Research
Radiomics and Machine Learning in Medical Imaging
article

Comparison of the application value of spiral computed tomography and x-ray examination in the differential diagnosis of lung cancer and benign lung tumors

Jie Xu, Bei He, Lu Wang, Bing Li, Xiaomao Xu
article en

Abstract

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.

International Journal of Radiation ResearchVol. 23(2)
Zhejiang Provincial People's Hospital (CN), Shaoxing People's Hospital (CN)
Department of Education of Zhejiang Province
Good health and well-being
Openalex Percentile: Top 73%
Radiomics and Machine Learning in Medical Imaging
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