摘要
目的通过对肺内肿块的CT能谱扫描及多参数定量测量，探讨CT能谱成像在肺良、恶性肿块诊断中的初步应用价值。方法81例胸部X线或CT平扫首次发现肺部肿块者行能谱CT增强扫描，通过能谱分析软件，获取肿块内感兴趣的能谱曲线、碘基图、水基图及101组单能图像。分别测量其碘浓度、水浓度、能谱曲线斜率及40keV对应的CT值，将符合研究条件的70例患者分为炎症组及肿瘤组，采用单因素方差分析检验上述能谱参数在良、恶性患者间差异是否具有统计学意义。结果炎症组与肿瘤组的碘浓度分别为（1．47±0．17）、（0．77±0．19）g/L（F=203．97，P〈0．05）；能谱曲线斜率分别为1．65±0．27、0．88±0．22（F=161．59，P〈0，05）；40keV对应的CT值分别为（139．00±16．25）、（83．29±17．44）HU（F=160．45．P〈0．05），差异具有统计学意义；而2组中水浓度分别为（1021．56±11．68）、（1022．62±8．56）g/L，差异无统计学意义（F=0．19，P〉0．05）。结论CT能谱成像联合多参数定量分析，在肺部良、恶性肿块的诊断中具有很大价值。
Objective To investigate the value of spectral CT for the discrimination of benign and malignant lung lesions through muhiparameter quantitative measurement. Methods Eighty-one patients who had lung nodule or mass on X-ray or plain CT were scanned using spectral CT, generating iodine concentration, water concentration and 101 sets of monochromatic images. Iodine concentration, water concentration, spectrum energy curve and CT value at 40 keV were measured with spectral post-processing software. 70 eligible patients were divided into pneumonia group and tumor group. ANOVA analysis was used for the statistic analysis in two groups. Results The iodine concentration in pneumonia group and tumor group were （ 1.47 ± 0. 17 ） and （ 0. 77 ± 0. 19 ） g/L （ F = 203.97, P 〈 0. 05 ）. The slope rates of spectrum energy curve in pneumonia group and tumor group were 1.65 ± 0.27 and 0.88 ±0. 22 （ F = 161.59, P 〈 0. 05）. The CT values at 40 keV in pneumonia group and tumor group were （139.00 ± 16.25 ） and （83.29 ± 17.44） HU （F = 160.45, P 〈 0.05 ）, there were significant differences in iodine concentration, slope rates and CT values at 40 keV between two groups. The water concentration in pneumonia group and tumor group were （ 1021.56 ± 11.68 ） and （ 1022. 62 ± 8.56） g/L （ F = 0. 19, P 〉 0. 05 ）, there was no significant difference. Conclusion Spectral CT technique has very important value for the discrimination of benign and malignant lung lesions.
出处
《中华放射学杂志》
CAS
CSCD
北大核心
2013年第5期410-413,共4页
Chinese Journal of Radiology
基金
山东省科技攻关资助项目（2009GG10002040）
