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目的:探讨形成数字减影血管造影(DSA)图像不良因素的原因及相关图像质控方法。方法:选取2014年1月-2015年12月在我院行DSA诊疗的480例患者,共计2 639个造影序列,随机分为对照组(240名患者1 317个造影序列)和质控组(240名患者1 322个造影序列),分析判断各组图像是否存在图像不良因素并对不良因素分类,按照不良因素的多少对图像质量进行评分,并对结果进行统计分析。结果:对照组共443个序列中存在不良因素,质控组中共258个序列存在不良因素,通过质量控制,图像质量得到明显改善(P<0.05);质控组腹部、胸部及四肢不良因素较对照组明显减少(P<0.05);质控组(优80.42%,良15.00%,差4.58%)图像质量优良率明显高于对照组(优66.67%,良27.08%,差6.25%)(P<0.05)。结论:DSA图像质量的不良因素主要是呼吸运动伪影,在腹部出现的不良因素的比例最高,有效合理的质控措施可以明显改善图像质量,提高图像优良率。
OBJECTIVE: To investigate the causes of formation of adverse factors of digital subtraction angiography (DSA) images and related image quality control methods. Methods: A total of 2 639 radiographs of 480 DSA patients admitted to our hospital from January 2014 to December 2015 were randomly divided into control group (1 317 angiography sequences in 240 patients) and control group (control group 240 patients with 1 322 angiography sequences) were analyzed to determine whether there were image defects in each group of images and classification of adverse factors, according to the number of adverse factors on the image quality score, and the results were statistically analyzed. Results: A total of 443 sequences in the control group had adverse factors. There were 258 factors in the control group. There were some adverse factors in the control group. Quality control improved the quality of the image (P <0.05) (P <0.05). The excellent quality of image quality in the control group (excellent 80.42%, good 15.00%, poor 4.58%) was significantly higher than that in the control group (excellent 66.67%, good 27.08%, poor 6.25%) (P <0.05). Conclusion: The main adverse factors of DSA image quality are respiratory motion artifacts, with the highest proportion of adverse factors in the abdomen. Effective and reasonable quality control measures can obviously improve the image quality and improve the image excellent rate.