Head and Neck Imaging
Diagnosis of Peripheral Lung Cancer Scanning in Lymph Node Metastasis Enhanced CT
Author:ZHAN Xian-jin, ZHENG Da-wei
affiliation:Department of Radiology, the Second People's Hospital of Neijiang, Neijiang 641003, Sichuan Province, China
PDFAbstract
Objective To evaluate the clinical diagnostic value of enhanced CT scanning of peripheral lung cancer lymph node metastasis. Methods A hospital in March 2014- December 2015 patients with peripheral lung cancer in 69 patients admitted to hospital as the research object, underwent CT scan and CT scan, observe the lesion size, shape, location, and presence or absence of binding lymph node metastases feature analyze. Results 69 cases of peripheral lung cancer patients with lymph node metastasis in 42 cases (approximately 60.8%), of which 20 cases of small cell lymph node (about 28.9%), 16 cases of adenocarcinoma lymph node (about 23.2%), squamous cell carcinoma 6 cases of lymph node (about 8.7%), without lymph node metastasis 27 cases (approximately 39.1%), CT enhanced scan lesions not detected one case (about 1.5%), peripheral lung cancer patients, net degree of enhancement CT was slightly lower than non-metastatic lymph node metastatic lymph nodes, the difference was statistically significant (P<0.05), peripheral lung cancer patients with lung window and mediastinal window view and chest CT arterial phase, venous phase and delayed phase CT enhanced scan can clearly show the lesion size and location. Conclusion Contrast-enhanced CT scan has a high detection rate, improved lesion characterization capabilities for early lung cancer detection and treatment provide a scientific theory. For the early symptoms of peripheral lung cancer lymph node metastases, CT enhanced scan applied more widely, with a high clinical value.
【Keyword】CT Enhancement Scanning; Peripheral Lung Cancer; Lymph Node Metastases; Diagnostic Value
【Chart number】R734.2;R445.3
【Document Identification Number】A
【DOI】10.3969/j.issn.1672- 5131.2017.10.015
Chinese journal of CT and MRI
th15Volume, th 10 Issue
2017Year10Month
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