The value of Revolution CT in identifying the tumor-lung interface between central lung cancer and accompanying atelectasis
10.3969/j.issn.1002-1671.2024.05.007
- VernacularTitle:Revolution CT在中央型肺癌伴肺不张瘤-肺界面鉴别中的价值
- Author:
Xilin LI
1
;
Jing CHEN
;
Lihui GENG
;
Qi LI
;
Jian LI
;
Yang CHEN
;
Jingwang LIU
Author Information
1. 华北理工大学附属开滦总医院影像科,河北 唐山 063000
- Keywords:
lung cancer;
atelectasis;
computed tomography
- From:
Journal of Practical Radiology
2024;40(5):713-716
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the application value of multi-parameter imaging of Revolution energy spectrum CT in identifying the tumor-lung interface between central lung cancer and accompanying atelectasis.Methods The spectral CT imaging data of 73 patients with central lung cancer and accompanying atelectasis confirmed by pathology were collected.The polychromatic image,the best monochromatic image,the best monochromatic image combined with iodine concentration map and the effective atomic number(Eff-Z)of the tumor-lung interface in the arterial,venous and delayed phases were compared,and the CT value,iodine concentration(IC)value,Eff-Z and the slope of energy spectrum curve(λHU)of tumors and atelectasis in the venous phase were also compared.Results(1)On tri-phase CT,the subjective score of the tumor-lung interface in the venous phase was the highest.(2)There were differences among the subjective scores of tumor-lung interface on polychromatic image,best monochromatic image,best monochromatic image com-bined with iodine concentration map and Eff-Z on tri-phasic enhanced CT.The subjective score of the best monochromatic image combined with iodine concentration map was the highest,followed by the best monochromatic image.(3)There were significant differences in CT values,IC values,Eff-Z and λHU between tumors and atelectasis in venous phase,with the highest difference of IC value.Conclusion Revolution energy spectrum CT can identify the tumor-lung interface between central lung cancer and accompanying ate-lectasis through multi-parameter imaging,which may provide helpful information for the diagnosis and therapeutic evaluation of the disease.
