Application of the optimal monoenergetic images in energy spectral CT combined with tumor markers detection in diagnosing peripheral lung cancer(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第7期
- Page:
- 870-874
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Application of the optimal monoenergetic images in energy spectral CT combined with tumor markers detection in diagnosing peripheral lung cancer
- Author(s):
- WANG Shaokai
- Department of Radiology, the First Hospital of China Medical University, Shenyang 110001, China
- Keywords:
- Keywords: peripheral lung cancer energy spectral CT monoenergetic image tumor marker
- PACS:
- R734.2
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.07.014
- Abstract:
- Abstract: Objective To analyze the application value of the optimal monoenergetic image in energy spectral CT combined with the detections of serum CEA, NSE, CYFRA21-1 and SCCA in the diagnosis of peripheral lung cancer (PLC). Methods A total of 240 patients with suspected PLC admitted to the First Hospital of China Medical University from January 2019 to January 2020 were enrolled in the study. After admission, the patients underwent CT examinations, and their serum tumor markers such as CEA, NSE, CYFRA21-1 and SCCA were detected. Taking pathological results as the gold standard for PLC diagnosis, the application value of energy spectral CT combined with the detections of serum CEA, NSE, CYFRA21-1, SCCA in the diagnosis of PLC was evaluated. Results Among the suspected PLC patients, there were 130 malignant lesions and 110 benign lesions. The levels of CEA, NSE, CYFRA21-1 and SCCA in malignant lesion group were significantly higher than those in benign lesion group (P<0.001). Moreover, statistical differences were found in the levels of CEA, CYFRA21-1 and SCCA between adenocarcinoma group and squamous cell carcinoma group (P<0.001) and the sensitivity and specificity of energy spectral CT combined with tumor markers detection were significantly better than those of serum tumor markers detection or CT examination alone (P<0.01). Conclusion The optimal monoenergetic image in energy spectral CT combined with the detections of serum CEA, NSE, CYFRA21-1 and SCCA is of high value in the diagnosis of PLC, and its accuracy is higher than that of a single detection.
Last Update: 2022-07-15