Application of 70 kV Third-generation High-pitch Dual-source Coronary CT Angiography in Patients with Different Body Mass Index / 中国医学科学院学报
Acta Academiae Medicinae Sinicae
;
(6): 42-48, 2017.
Article
in English
| WPRIM
| ID: wpr-277901
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 dual-source 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 divided into three groupsgroup A,with BMI≤24 kg/m;group B,with 24 kg/m<BMI<28 kg/m;and group C,with BMI≥28 kg/m. 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 high-pitch DSCT may be better for patients with BMI<28 kg/m2 than those with BMI ≥28 kg/min China.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Radiation Dosage
/
Radiographic Image Interpretation, Computer-Assisted
/
Body Mass Index
/
China
/
Prospective Studies
/
Contrast Media
/
Signal-To-Noise Ratio
/
Computed Tomography Angiography
/
Heart Rate
/
Methods
Type of study:
Observational study
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Acta Academiae Medicinae Sinicae
Year:
2017
Type:
Article
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