中国医学科学院学报2017，Vol.39Issue(1)：42-48,7.DOI:10.3881/j.issn.1000-503X.2017.01.008
第3代双源CT 70 kV大螺距扫描冠状动脉CT血管成像在不同体质量指数患者中的应用
Application of 70 kV Third-generation High-pitch Dual-source Coronary CT Angiography in Patients with Different Body Mass Index
摘要
Abstract
Objective To investigate the optimized range of body mass index (BMI) selection for patients undergoing 70 kV high-pitch dual-source coronary CT angiography (CCTA) on the third-generation dualsource CT (DSCT).Methods Patients undergoing prospective high-pitch ultra-low contrast media (CM)CCTA on the third-generation DSCT using the automatic tube voltage selection at 70 kV were included and divid-ed into three groups:group A, with BMI≤24 kg/m2;group B, with 24 kg/m2 ＜ BMI ＜28 kg/m2;and group C, with BMI≥28 kg/m2.The baseline data, image quality results, and effective dose (ED) were evaluated and compared.Results No significant difference was found in age (H =2.36, P =0.78), heart rate (H =3.51, P =0.80), and ED (H=1.77, P =0.12) among three groups.The noise of the aortic root in group A was (21.66 ±4.00) HU, which was significantly lower than that in group C [(23.61 ±4.20) HU] (F =2.05, P =0.03).The signal to noise ratio of aortic root in group A (18.61 ± 5.28) was significantly better than that in group C (14.75 ± 2.58) (F =5.31, P =0.02).No other significant difference in quantitative image quality were found among the three groups (all P ＞ 0.05).Subjective image quality in group A (Z =2.91, P =0.004) and B (Z =2.27, P =0.021) were both significantly better than that in group C.Conclusion The ultra-low tube voltage (70 kV) combined with ultra-low CM CCTA protocol on third-generation highpitch DSCT may be better for patients with BMI ＜ 28 kg/m2 than those with BMI ≥28 kg/m2 in China.关键词
体质量指数/冠状动脉CT血管成像/第3代双源CT/辐射剂量/图像质量Key words
body mass index/coronary CT angiography/third-generation dual-source CT/radiation dose/imagine quality分类
医药卫生引用本文复制引用
易妍,王沄,金征宇,王怡宁,曹剑,林路,孔令燕,江舒,李潇,刘珮君,王明,王曼..第3代双源CT 70 kV大螺距扫描冠状动脉CT血管成像在不同体质量指数患者中的应用[J].中国医学科学院学报,2017,39(1):42-48,7.基金项目
国家自然科学基金(81471725)、北京市自然科学基金(7142133)和卫生公益性行业科研专项项目(201402019、 201402001) Supported by the National Natural Sciences Foundation of China (81471725),the Beijing Municipal Natural Science Foundation (7142133),and the Health Industry Special Scientific Research Project (201402019,201402001) （81471725）
