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作 者:陈盈[1] 姚婷[1] 郑昊[1] 樊树峰[1] 王官良[1] 谢继承[1]
出 处:《医学影像学杂志》2016年第7期1222-1225,共4页Journal of Medical Imaging
基 金:浙江省台州市科技局A类项目(121KYA08);浙江省台州市科技局A类项目(14SF03);浙江省自然科学基金(LY13H180010);浙江省医药卫生基金(2013KYA223)
摘 要:目的 探讨CT能谱成像定量分析在鉴别不同病理类型原发性肺癌中的价值。方法 回顾性分析2011年7月~2013年1月间行能谱增强扫描并经病理确诊的鳞癌37例,腺癌43例,小细胞癌32例。将不同病理类型的原发性肺癌分为3组,选择动脉期能谱成像对各组进行能谱物质定量分析,测得其动脉期碘含量、有效原子序数,计算其55~125ke V的能谱曲线斜率,进行单因素方差分析。结果 肺鳞癌组、肺腺癌组及小细胞肺癌组动脉期碘含量分别为(15.79±3.81100)μg/L、(18.49±4.69100)μg/L、(14.98±3.05100)μg/L,有效原子序数为8.54±0.21、8.69±0.24、8.50±0.16,能谱曲线斜率分别为0.55±0.14、0.65±0.18、0.77±0.16,各组间动脉期碘含量、有效原子序数、能谱斜率均存在统计学意义(F值分别为8.21、8.40、15.20,P值均〈0.05);进行LSD-t两两比较发现肺鳞癌组与小细胞肺癌组的动脉期碘含量、有效原子序数差异无统计学意义(P〉0.05),各组的能谱斜率均存在统计学意义(P均〈0.05)。结论 动脉单期能谱扫描多参数定量分析对鉴别不同类型原发性肺癌具有一定的鉴别诊断价值。Objective To study the application value of quantitativ analysis in distinguishing different pathological types of primary lung cancer by spectral CT arterial phase scan. Methods A total of 37 patients with squamous carcinoma ( squamous carcinoma group) , 43 patients with adenocarcinoma (adenocarcinoma group) and 32 patients with small cell carcinoma confirmer by pathology were collected. Spectral CT imaging related parameters about iodine concentration and effectiv-Z and slope rate of spectral curve in the enhanced CT were obtained. All the parameters were compared among different groups. Results 1 ) The iodine concentration and effectiv-Z, slope rate of spectral curv of squamous carcinoma group, and adenocarcinoma group, small cell carcinoma group were (15.79 +-3.81) vs (18.49 +-4.69) vs (14.98 +-3.05) 100 μg/L, (8.54 +-0.21) vs (8.69 +-0.24) vs (8.50 +- 0.16 ) , (0.55 +- 0.14) vs (0.65 +- 0.18 ) vs (0.77 +- 0.16). There were statistically significant in each groups (Fliodine concentration = 8.2, Feffectiv-Z = 8.40, Fslope rate of spectral curv = 15.20, P 〈 0.05 ) ; 2) As for the result of LSD-t, there was no stat-istically significant of iodine concentration and effectiv-Z between squamous carcinoma group and small cell carcinoma group ( P 〉 0.05 ). There was statistically significant of slope rate of spectral curv in each groups ( P 〈 0.05 ). Conclusion 1 ) There were not the same or similar material foundation and organizational components in different pathological types of primary lung cancer; 2) Enhanced scan of spectral CT demonstrated the potential in diagnosing different pathological types of primary lung cancer.
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