The value of spectrum CT in the diagnosis of lung cancer and lymph node metastases
10.3760/cma.j.issn.1673-4904.2014.11.015
- VernacularTitle:能谱CT在肺癌及淋巴结转移灶诊断中的应用价值
- Author:
Naicai GUO
- Publication Type:Journal Article
- Keywords:
Lung neoplasms;
Lymph nodes;
Tomography,spiral computed;
Spectrum CT imaging
- From:
Chinese Journal of Postgraduates of Medicine
2014;37(11):38-41
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the change of CT value,iodine (water) density in lung cancer and lymph node metastases under different single-energy,and investigate the clinical value of spectrum CT in the diagnosis of lung cancer and lymph node metastases.Methods The clinical and pathological diagnosis of 42 patients with lung lesions,the clinical data of spectrum CT imaging were retrospectively analyzed.Nineteen cases with benign diseases (benign group),23 cases with lung cancer(lung cancer group).Results Thex2 value of spectrum CT imaging in the diagnosis of lung lesions and lymph node metastases was 26.1 and 153.8,there was no significant difference(P ＞ 0.05).Malignant lung lesions lower keV,the greater difference in CT value.The arterial phase standard iodine density in benign group was lower than that in lung cancer group [(0.13 ± 0.08) g/L vs.(0.20 ± 0.15) g/L],there was significant difference (P ＜ 0.05).The arterial phase standard water density between benign group and lung cancer group had no significant difference [(1.01 ± 0.01) g/L vs.(1.00 ±0.01) g/L] (P＞ 0.05).Spectrum curve slope in lymph node metastases and lung cancer had no significant difference (1.10 ± 0.07 vs.1.07 ± 0.08)(t =1.83,P ＞ 0.05).The spectrum curve slope of squamous carcinoma,adenocarcinoma and small cell lung cancer under different energy imaging had no significant difference (P ＞ 0.05).Conclusion Spectrum CT has obvious advantages in detection of lung cancer and lymph node metastases,and its quantitative analysis is helpful in the diagnosis and differential diagnosis of benign and malignant lung tumor and lymph nodes,in the differential diagnosis of clinical difficult to diagnosis lesions has significant value.
