Abstract
Objective To investigate the diagnostic value of Dual-source CT(DSCT) with qualitative method in detecting fight ventricular dysfunction in patients with acute massive pulmonary embolism.Methods The clinical data of 40 patients with acute massive pulmonary embolism confirmed by DSCT were retrospectively analyzed.The DSCT diagnosis standards of right ventricular dysfunction were following:the right ventricle was dilated or there was leftward shift of the interventricular septum or ventricular septal straighted.Echocardiography were performed in all patients in 48 hours before or after DSCT inspection.Echocardiographic reports serving as the reference standard.Comparative analysis the sensitivity,specificity,positive predictive value,negative predictive value and the consistency of results of the two methods with DSCT qualitative in detecting right ventricular dysfunction in patients with acute massive pulmonary embolism.Results Among the 40 patients with acute massive pulmonary embolism,30 patients with right ventricular dysfunction in the DSCT image,34 patients with right ventricular dysfunction in echocardiography.The results of the sensitivity,specificity,positive predictive value and negative predictive value'with DSCT qualitative methods in detecting right ventricular dysfunction in patients with acute massive pulmonary were 88.2％,100％,100％,60％,respectively,K =0.692.P ＞0.05).Therefore,there was no significant difference between the two diagnosis methods of acute massive pulmonary embolism in patients with right ventricular dysfunction.Moreover,the diagnosis of the two methods has a good consistency in detecting fight ventricular dysfunction in patients with acute massive pulmonary.Conclusions Using DSCT qualitative method can assess right ventricular dysfunction in patients with acute massive pulmonary embolism quickly and accurately,and which is a simple and practical method,and is useful to guide clinical treatment and to predict the prognosis. Key words: Pulmonary embolism; Right ventricular dysfunction; Multi-slice CT; Diagnosis
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