Comparative Analysis of Different Radiological Diagnostic Methods in Distinguishing Lung Cancer from Benign Tumors
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DOI: 10.25236/isbsbh.2020.029
Author(s)
Lin Tie, XiaoJun Zhu
Corresponding Author
XiaoJun Zhu
Abstract
The paper compares and analyzes the effects of CT and X-ray chest radiographic diagnosis methods in distinguishing benign tumors from lung cancer. Method: The thesis first selects suitable patients with benign tumors and lung cancer from the scope of the hospital. The time is from August 2018 to August 2019. The number of selected patients is 278 patients, and the selected patients are 278 patients. According to grouping conditions, they were divided into experimental group and control group, each with 139 people. The diagnosis rate and imaging performance of the two groups were observed. Results: The diagnosis rate of lung cancer in the experimental group was 96.73%, and that of benign tumors was 97.87%. Compared with the control group's 90.00% and 85.71%, it was significantly better and the diagnosis rate was higher. The difference between the two is very obvious and statistically significant. (P<0.05); The performance of the experimental group such as one side of the lung or atelectasis, the presence of burrs or jagged, peripheral solitary nodular lesions, lobular sign or irregular edges were significantly better than those of the control group. The difference between the two is more obvious and statistically significant (P<0.05). Conclusion: In terms of diagnosing benign tumors and lung cancer, the effect of CT is more obvious than that of chest X-ray radiology, and the performance of imaging is more comprehensive and detailed. This is a better diagnostic method and should be popularized and promoted in clinical diagnosis.
Keywords
Lung tumor, energy spectrum CT, pathological classification, lung cancer