Your browser doesn't support javascript.
loading
Differentiation of central lung cancer from obstructive pneumonia and atelectasis using spectral CT iodine-based material decomposition technique / 实用放射学杂志
Journal of Practical Radiology ; (12): 204-207, 2016.
Artículo en Chino | WPRIM | ID: wpr-485783
ABSTRACT
Objective To explore the value of the spectral CT iodine-based material decomposition technique in differential diagnosis of central pulmonary carcinoma from obstructive pneumonia and atelectasis.Methods 25 cases with central pulmonary carcinoma complicating with obstructive pneumonia and atelectasis underwent CT plain scan and spectral contrast scan including pulmonary-arterial-phase (PAP) and bronchial-arterial-phase(BAP).Conventional CT images and iodine base images were generated in each phase by GSI viewer.The 4 groups of images differences between the tumor and the obstructive pneumonia and atelectasis were analyzed.Results The margin of the tumor was ill-defined in plain scan.The cases that showed difference between the tumor and the obstructive pneumonia and atelectasis in 4 groups of images were respectively as follows,10 in conventional CT images of PAP,1 6 in conventional CT images of BAP,1 9 in iodine base images of PAP,and 23 in iodine base images of BAP.The difference of the 4 groups was significant (χ2 =16.54,P0.05),but were better than that of the conventional CT images of PAP(χ2 =6.65,P <0.05).Conclusion Spectral CT iodine-based material decomposition technique is helpful to improve subjective diagnosis of central pulmonary carcinoma complicating with obstructive pneumonia and atelectasis,especially in iodine base images of BAP,it can provide accurate information for clinical stage and treatment.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Journal of Practical Radiology Año: 2016 Tipo del documento: Artículo

Similares

MEDLINE

...
LILACS

LIS

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Journal of Practical Radiology Año: 2016 Tipo del documento: Artículo