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多排螺旋CT重建技术在急腹症影像诊断中的意义分析 被引量:8

The significance of multi-slice spiral CT reconstruction in the diagnosis of acute abdomen
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摘要 目的分析多排螺旋CT重建技术在急腹症影像诊断中的意义。方法选取2017年6月至2018年12月肇庆市第一人民医院收治的100例急腹症患者作为研究对象,借助多排螺旋CT重建技术进行检查,分析患者的影像学结果与参考诊断方法的符合率、各疾病类型的CT影像学表现及一致性。结果参照参考诊断方法,其中肝脓肿9例,宫外孕10例,血管病变9例,胆管结石11例,消化道穿孔10例,外伤10例,肠梗阻9例,泌尿系结石10例,急性炎症22例;CT影像学检查显示检查出阳性患者98例,诊断符合率为98.00%,与参考诊断方法比较,差异有统计学意义(P<0.05)。结论采用多排螺旋CT重建技术展开检查,可对疾病的类型进行较好分类,且临床诊断符合率相对较高,进而为临床治疗急腹症患者提供良好的治疗依据,值得推广与借鉴。 Objective To analyze the significance of multi-slice spiral CT reconstruction in the diagnosis of acute abdomen.Methods One hundred patients with acute abdomen admitted to our hospital from June 2017 to December 2018 were enrolled in the study.The multi-slice spiral CT reconstruction technique was used to analyze the coincidence rate of the patient′s imaging results with the reference diagnosis method.And CT imaging findings of each disease type.Results Refer to the reference diagnosis method,including 9 patients with hepatic abscess,10 patients with ectopic pregnancy,9 patients with vascular disease,11 patients with bile duct stones,10 patients with gastrointestinal perforation,and 10 patients with trauma.There were 9 cases of obstruction,10 cases of urinary calculi,and 22 cases of acute inflammation.CT imaging showed that 98 cases were positive,and the diagnostic coincidence rate was 98.00%,P<0.05.Conclusion The use of multi-slice spiral CT reconstruction technique for patients with acute abdomen can better classify the type of disease,and the clinical diagnosis rate is relatively high,which provides a good treatment basis for patients with acute abdomen.It is worth promoting and learning.
作者 陈军 梁宏 李建锋 CHEN Jun;LIANG Hong;LI Jianfeng(Third People′s Hospital of Zhaoqing City,Zhaoqing 526060,China;Department of Imaging,First People′s Hospital of Zhaoqing City,Zhaoqing 526060,China)
出处 《现代医药卫生》 2019年第16期2470-2472,共3页 Journal of Modern Medicine & Health
关键词 多排螺旋CT重建技术 急腹症 影像学表现 诊断符合率 Multi-slice spiral CT reconstruction technique Acute abdomen Imaging findings Diagnostic coincidence rate
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