[Comparative study of identification of pulmonary perfusion with dual source computed tomography in diagnosing pulmonary embolism].
OBJECTIVE
To explore the diagnostic value of dual source computed tomography (CT) in the diagnosing acute pulmonary embolism (PE).


METHODS
A total of 20 cases with suspected PE were scanned by dual source CT and the data were analyzed with the software packages of conventional 3D, pulmonary embolism detection (PED), lung vessels and lung PBV. The examination with the highest detection rate was used to screen for pulmonary segment of PE and verify the diagnostic consistency with dual-energy perfusion imaging (DEPI) on pulmonary segment of PE.


RESULTS
The detection rates for PE in pulmonary artery branches were all 30% for CTPA, lung vessels and PED. There were no statistical difference. The detection rates for PE in pulmonary lobar arteries were 47.0%, 49% and 50% for CTPA, lung vessels and PED. There were no statistical difference. The detection rates for PE in pulmonary segment arteries were 14.2%, 19.7% and 26.1% for CTPA, lung vessels and PED. Statistical differences existed among CTPA, lung vessels and PED. The detection rates for PE in pulmonary subsegment arteries were 3.7%, 4.5% and 7.0% for CTPA, lung vessels and PED. Statistical differences existed between PED, CTPA and lung vessels. No statistical difference existed between CTPA and lung vessels. PED had the higher clinical value on the diagnosis of PE of pulmonary segmental artery and inferior segmental artery. The sensitivity of DEPI for PE was 85.7%, specificity 94.1% and kappa 0.789. The diagnosis on PE of DEPI and PED image had a higher consistency.


CONCLUSIONS
The dual-energy scanning of dual source CT has higher practical values in the diagnosis of PE. And PED can visualize the pulmonary artery segment and a downstream segment of PE. Pulmonary perfusion imaging may show the perfusion abnormalities due to pulmonary blood flow changes. A combination of both increases the diagnostic rate of PE.
Department of Radiology, the Affiliated Hospital of Binzhou Medical University, Binzhou 256603, China.
Xijin
X
Mao
Lin
L
Zhang
Wanfeng
W
Fan
Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao 266071. Email: cjr.xuwenjian@vip.163.com.
Wenjian
W
Xu
D006801:Humans; D010477:Perfusion; D055420:Perfusion Imaging; D011651:Pulmonary Artery; D011655:Pulmonary Embolism; D014057:Tomography, X-Ray Computed