论文部分内容阅读
目的:运用宝石能谱CT和GSI浏览器,研究肺癌患者结节大小与血含量的相关性。方法:收集2014年8月至2015年6月在中国医科大学附属第一医院经临床病理证实为肺癌的40例患者,46个结节。按结节大小分为三组:直径≤2 cm的16例、>2 cm~≤3 cm的15例、>3 cm的15例。行能谱CT、GSI模式双期扫描,获得能谱系列成像,在肿瘤最大层面测量不同大小结节之间的平均CT值、平均水密度值和平均碘密度值,分别对上述参数进行独立样本单因素方差分析及相关性分析。结果:在能谱模式双期扫描中随着结节体积增大平均碘密度明显降低,直径为≤2 cm、>2 cm~≤3 cm、>3 cm结节平均碘密度在动脉期分别为(17.45±4.56)、(12.05±4.89)、(10.31±5.76)(100μg/cm3),在静脉期分别为(18.32±3.59)、(14.05±4.13)、(12.82±4.58)(100μg/cm3),直径≤2 cm的结节与另外两组差异均有统计学意义(P<0.05)。在能谱模式双期扫描中三组之间的平均CT值和平均水密度没有统计学差异(P>0.05)。平均水密度和平均CT值都受肿块里的气体含量影响,但是平均碘密度不受影响,GGN与实性结节在动脉期平均CT值与平均水密度分别为(-323.83±220.27)、(43.63±15.02)HU,(638.47±227.07)、(1017.27±15.23)(100μg/cm3)。GGN的平均CT值和平均水密度与实性结节相比明显降低,并且有明显统计学差异(P<0.05),两者之间动脉期碘密度分别为(12.86±5.92)、(12.70±4.28)(100μg/cm3)没有明显统计学差异。结论:宝石能谱CT可对肺内结节血含量进行定量分析,随着结节体积增大,平均碘密度逐渐降低。平均水密度与平均CT值明显相关,而平均碘密度与平均CT值无明显相关性,运用平均碘密度表示肿块血含量比CT值更准确。
OBJECTIVE: To study the correlation between nodule size and blood volume in patients with lung cancer using gelspectroscopy CT and GSI browser. Methods: Forty-six patients with lung cancer confirmed clinically and pathologically at the First Affiliated Hospital of China Medical University from August 2014 to June 2015 were collected. According to the size of nodules, there were 3 groups: 16 cases with diameter ≤2 cm, 15 cases with> 2 cm ~ ≤3 cm and 15 cases with> 3 cm. Row CT and GSI mode were used to obtain series of energy spectrum images. The average CT value, mean water density value and average iodine density value of nodules of different sizes were measured at the maximum level of the tumor. Independent samples One way ANOVA and correlation analysis. Results: The iodine density of nodules decreased obviously with the increase of nodule volume in the double-phase scanning of energy spectrum. The average iodine density of nodules with diameter ≤2 cm,> 2 cm ~ ≤3 cm and> 3 cm were (17.45 ± 4.56), (12.05 ± 4.89) and (10.31 ± 5.76) (100μg / cm3) in the venous phase and (18.32 ± 3.59), (14.05 ± 4.13) and (12.82 ± 4.58) , The diameter of ≤ 2 cm nodules and the other two differences were statistically significant (P <0.05). There was no significant difference between the mean CT values and mean water densities of the three groups in the two-phase scan of the energy spectrum (P> 0.05). Mean water density and average CT value were affected by the gas content in the tumor, but the average iodine density was not affected. The average CT value and mean water density of GGN and solid nodules during arterial phase were -323.83 ± 220.27, 43.63 ± 15.02) HU, (638.47 ± 227.07), (1017.27 ± 15.23) (100 μg / cm3). The average CT value and average water density of GGN were significantly lower than those of solid nodules (P <0.05), and the iodine density of arterial phase was (12.86 ± 5.92) and (12.70 ± 4.28) (100 μg / cm3) No significant statistical difference. Conclusion: The gem energy spectrum CT can quantitatively analyze the content of nodular blood in the lung. As the volume of nodules increases, the average iodine density gradually decreases. The average water density was significantly correlated with the mean CT value, while the average iodine density had no significant correlation with the mean CT value. Using the average iodine density indicated that the blood volume of the tumor was more accurate than the CT value.