首页> 中文期刊> 《医学影像学杂志 》 >卵巢肿瘤供血动脉的多层螺旋CT血管成像研究

卵巢肿瘤供血动脉的多层螺旋CT血管成像研究

             

摘要

目的:探讨卵巢肿瘤供血动脉在多层螺旋CT血管造影(MSCTA)中的显影特点.方法:搜集卵巢肿瘤行腹盆部CT增强扫描患者104例122侧(原发肿瘤72例79侧,转移肿瘤32例43侧),根据肿瘤直径大小进行分组,A组≤4.0cm(28侧),B组3~5cm(50侧),C组≥5.0cm(44侧),采用容积再现(VR)血管生长技术(AV)进行肿瘤供血动脉重建,分析原发性与转移性、不同直径肿瘤的供血动脉显影特点.结果:122侧卵巢肿瘤总的供血动脉显影率为89.3%(109/122).79侧原发性和43侧转移性卵巢肿瘤供血动脉显影率分别为88.6%(70/79)、90.7% (39/43),两者比较差异无统计学意义(P>0.05),OA、OB显影率分别为77.9% (95/122)、53.3%(65/122),两者比较差异有统计学意义(P<0.05),A组、B组、C组中,()A显影率分别为53.6%、80.0%、90.9%,OB显影率分别为28.6%、38.0%、86.4%.结论:MSCTA能清楚显示原发性和转移性卵巢肿瘤的供血动脉及其特点,随着肿瘤增大,供血动脉显影率逐渐增高.%Objective:To investigate the developing characteristics of multi-slice spiral CT angiography (MSCTA) in the feeding artery of ovarian tumors. Methods: 104 patients with oravian tumors with a total of 122 sides (72 cases of 79 primary side, the transfer of 32 patients with 43 sides) were subjected to the enhanced abdominal pelvic CT scan. Cases were divided into two groups, with ≤4. 0 cm in diameter (28 sides) in group A, and >4. 0 cm (64 sides) in group B. Volume rendering (VR) technology based on the growth of blood vessels (AV) was used for tumor-feeding artery reconstruction to analyze the imaging characteristics by comparing primary and metastatic tumors, and tumors with different diameters. Results : Visualization ratio of overall 122 patients with ovarian tumors artery was 89. 3 % (109/122). Visualization ratio of 79 original and 43 metastatic feeding arteries of ovarian tumor were 88. 6% (70/79) and 90. 7% (39/43) respectively, with no significant statistic difference ( P > 0. 05). Visualization ratio of OA and OB was 77. 9% (95/122) and 53. 3% (65/ 122) respectively, with significant statistic difference ( P <0. 05). Visualization ratio of OA in group A (63. 8%) VS group B (90.6%), and OB in group A (22. 4% ) VS group B (48.4%) respectively. were both with significant statistic difference ( P <0. 05). Conclusion: The feeding arteries and blood supply features of the primary or metastic ovarian tumor could be demonstrated by CTA, and the visualization increased as the size of the tumor increased

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