门脉期能谱CT技术对提高肝硬化门静脉成像质量的研究

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Abstract Objective: To investigate the effect of spectral CT technology for improving imaging quality of portal venography in cirrhosis patients. Methods: 42 patients with cirrhosis underwent enhanced CT scans spectral CT mode in the portal phase and conventional helical mode in other phase. The best contrast-to-noise ratio(CNR) for main portal veins, as well as the conventional polychromatic images were obtained in the portal phase, and volume rendering and maximum intensity projection were created to show the portal veins. CT value of the main portal vein, liver parenchyma and image noise were measured. Overall imaging quality were assessed by two radiologists with more than 10 years’ experience of abdominal imaging diagnosis. Comparison between the two groups by using independent-samples t test. Inter-observer agreement in subjective image quality was assessed by Kappa statistics. Results: The monochromatic images at 50~53 keV were found to have the best CNR for portal veins. CT value of the main portal vein and liver parenchyma, the image noise and the CNR of optimal monchromatic images were statistically significantly higher than that of polychromatic images, respectively(P<0.01). In the comparison of image quality, the optimal monochromatic reconstructed images(Kappa value=0.759) were higher than polychromatic reconstructed images(Kappa value=0.521). The image quality scores of two groups were 4.17±0.72 and 3.06±0.55. There were significant differences between the image quality scores of two groups(P<0.01). Conclusion: Monochromatic images of spectral CT could improve CNR for display portal veins and improve the image quality.

Key words： Liver cirrhosis Portal vein Tomography, spiral computed

Received: 09 August 2016

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	Articles by authors
	HUANG Rui-sui
	DING Ke
	YIN Hua
	WEI Xue
	ZHAO Qin-ping
	HE Fei

Cite this article:

HUANG Rui-sui,DING Ke,YIN Hua, et al. Study on using spectral CT technology for improving imaging quality of portal venography in cirrhosis[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(5): 341-344.

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http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2017/V28/I5/341

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