摘要
目的：探讨组织弥散定量分析技术在脂肪肝分度中的应用价值。方法：对36例患者的肝组织标本按脂肪变程度分度，所有患者肝穿前常规超声扫查后，使用实时组织超声弹性成像技术进行扫查，作组织弥散定量分析，测量感兴趣区域内蓝色区域面积百分比，并对肝组织脂肪变程度进行分析。结果：36例患者按肝组织脂肪变分度：12例为肝细胞脂肪变＜30%（正常对照组），9例为肝细胞脂肪变30%~50%（轻度脂肪肝组），8例为肝细胞脂肪变50%~75%（中度脂肪肝组），7例为＞75%（重度脂肪肝组）。各组间超声弹性成像图像表现有不同特点。蓝色区域面积百分比在各组之间比较有显著差异。蓝色区域面积百分比与肝组织脂肪变性病理分度的相关系数r=0.832（P=0.000），蓝色区域面积百分比随脂肪肝程度的上升而增高。结论：组织弥散定量分析技术有助于脂肪肝分度诊断，具有一定的临床应用价值。
Abstract
Objective: To investigate the quantitative analysis of tissue diffusion by ultrasonic elastography in the grading of fatty liver. Methods: Thirty-six patients’ liver tissue samples were graded according to their level of steatosis. Before liver biopsy, the gray scale ultrasonography was performed in all patients, then, ultrasonic elastography was performed on liver tissue of ROI. The percentage of blue color in the ROI was calculated by the quantitative analysis of tissue diffusion. The elastogram was compared with level of liver steatosis. Results: Steatosis level of the thirty-six patients’ liver tissue: less than 30%(normal group) in 12 patients, 30%~50%(mild fatty liver group) in 9 patients, 50%~75%(moderate fatty liver group) in 8 patients and more than 75%(severe fatty liver group) in 7 patients. There were different characteristics in the groups’ elastogram. The difference of percentage of the blue color in ROI was statistically significant among groups. The correlation coefficient of percentage of the blue color in the ROI area and pathological stage of liver steatosis was r=0.832(P=0.000). Percentage of blue area increased with the degree of fatty liver. Conclusion: The quantitative analysis of tissue diffusion is helpful for the diagnosis in the fatty liver degree, and plays an important role in clinic.
关键词
脂肪肝 /
超声检查 /
多普勒 /
彩色
Key words
Fatty liver /
Ultrasonography /
Doppler /
color
陈越峰;冯占武;吴丽桑;郭汉涛;许少兰.
组织弥散定量分析技术在脂肪肝分度中的价值评估[J]. 中国临床医学影像杂志. 2012, 23(3): 173-175
CHEN Yue-feng;FENG Zhan-wu;WU Li-sang;GUO Han-tao;XU Shao-lan.
Value of the quantitative analysis of tissue diffusion in the grading of fatty liver[J]. Journal of China Clinic Medical Imaging. 2012, 23(3): 173-175
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