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64层螺旋CT强化前肺血管成像对肺动静脉瘘的诊断价值 被引量:4

The value of 64-slice spiral CT angiography based on pre-contrasted raw data in diagnosing pulmonary arteriovenous fistula
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摘要 目的评价利用64层螺旋 CT 胸部强化前数据进行的肺血管成像对肺动静脉瘘的诊断价值。方法对16例肺动静脉瘘患者64层螺旋 CT 胸部强化前及强化后扫描数据进行肺血管成像,分别行最大密度投影(MIP)、表面遮盖重组(SSD)及容积再现(VR),以造影和手术结果为标准,分别比较强化前后3种重组方式对肺动静脉瘘的显示情况。结果 16例共计30个肺动静脉瘘,其中单发8例,多发8例。利用强化前原始数据行肺血管重组,MIP、SSD 及 VR 显示肺动静脉瘘分别为20、14及22个,3种血管重组方法联合应用显示肺动静脉瘘26个。利用强化后原始数据行肺血管重组,MIP、SSD 及 VR 显示肺动静脉瘘分别为24、18及30个,3种血管重组方式联合应用显示肺动静脉瘘30个。结论利用64层螺旋 CT 胸部强化前数据进行的肺血管成像可显示肺动静脉瘘畸形血管的位置、数量、形态,对肺动静脉瘘的诊断有较大价值。 Objective To evaluate the value of (M-slice spiral CT angiography based on precontrasted raw data in diagnosing pulmonary arteriovenous fistula. Methods (M-slice spiral CT plain scan and enhanced scan was performed in 16 patients with pulmonary arteriovenous fistula, pulmonary angiography based on pre-contrast and post-contrast raw data was performed respectively, including maximum intensity projection (MIP) , shaded-surface display (SSD) , and volume rendering (VR). According to the results of angiocardiography and surgical findings, comparson of the three methods was made in the display of PAVF in pre-contrast and post-contrast phase images. Results 8 of the 16 PAVF cases were single lesion, 8 cases were multi-lesions. 30 PAVF lesions were found in all the patients. MIP, SSD and VR based on pre-contrast raw data displayed PAVF lesions in 20, 14, and 22, respectively. The combination of the 3 methods based on pre-contrast raw data could show 26 PAVF lesions. MIP, SSD, and VR based on post-contrast raw data displayed PAVF lesions in 24, 18, and 30, respectively. The combination of the 3 methods based on postcontrast raw data could show 30 PAVF lesions. Conclusion (M-slice spiral CT angiography based on precontrasted raw data can clearly show the position, number, and shape of PAVF lesions, which is of great value in diagnosing PAVF.
出处 《中华放射学杂志》 CAS CSCD 北大核心 2007年第9期977-980,共4页 Chinese Journal of Radiology
关键词 动静脉瘘 体层摄影术 X线计算机 Lung Arteriovenous fistula Tomography, X-ray computed
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共引文献19

同被引文献37

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