[Correlation between the quantifiable parameters of blood flow pattern derived with dynamic CT in maliagnant solitary pulmonary nodules and tumor size.].
BACKGROUND
The solitary pulmonary nodules (SPNs ) is one of the most common findings on chest radiographs. It becomes possible to provide more accurately quantitative information about blood flow patterns of solitary pulmonary nodules (SPNs ) with multi-slice spiral computed tomography (MSCT). The aim of this study is to evaluate the correlation between the quantifiable parameters of blood flow pattern derived with dynamic CT in maliagnant solitary pulmonary nodules and tumor size.


METHODS
68 patients with maliagnant solitary pulmonary nodules (SPNs ) (diameter <=4 cm)underwent multi-location dynamic contrast material-enhanced (nonionic contrast material was administrated via the antecubital vein at a rate of 4mL/s by an autoinjector, 4*5mm or 4*2.5mm scanning mode with stable table were performed.) serial CT. Precontrast and postcontrast attenuation on every scan was recorded. Perfusion (PSPN), peak height (PHSPN), ratio of peak height of the SPN to that of the aorta (SPN-to-A ratio)and mean transit time(MTT) were calculated. The correlation between the quantifiable parameters of blood flow pattern derived with dynamic CT in maliagnant solitary pulmonary nodules and tumor size were assessed by means of linear regression analysis.


RESULTS
No significant correlations were found between the tumor size and each of the peak height (PHSPN), ratio of peak height of the SPN to that of the aorta (SPN-to-A ratio), perfusion (PSPN)and mean transit time(r=0.18,P=0.14; r=0.20,P=0.09; r=0.01, P=0.95; r=0.01, P=0.93).


CONCLUSIONS
No significant correlation is found between the tumor size and each of the quantifiable parameters of blood flow pattern derived with dynamic CT in maliagnant solitary pulmonary nodules.
Li
Shenjiang
S
Department of Imageology , The Eighty-eighth Military Hospital ,Taian, Shandong 271000 ,China. lishenjiang1971@163.com.cn.
Xiao
Xiangsheng
X
Liu
Shiyuan
S
Li
Huimin
H
Li
Chengzhou
C
Zhang
Chenshi
C