目的分析不同性质的肺部肿块 内部强化区域微细颗粒结构及强化分布表 现的特点，并探讨其诊断价值。方法 将 68例已确诊的肺内肿块(直径≥3cm)分为 恶性、良性和活动性炎症三组，分析各组 CT动脉期增强肿块内部强化区域微细颗 粒结构类型及强化分布表现的特点，采 用卡方检验对肿块性质与微细结构特点 关联性进行检验，对每两组进行比较。 结果 肿块性质与微结构颗粒分型有中度 关联(fisher值=51.119，P<0.001)，其 Contingency Coefficient为0.649，恶性 肿块主要是微颗粒型比例高，良性肿块主 要是大颗粒型比例高，炎症肿块主要是大 颗粒型和混合型比例高。肿块性质与强化 分布类型有中度关联(fisher值=42.662， P<0.001)，其Contingency Coefficient 为0.605，恶性肿块主要是边缘强化类型 比例高，良性肿块和炎症肿块主要是中央 强化类型比例高。结论 不同性质的肺部 肿块其内部强化区域微细结构特点不同， 可能反映了不同性质肿块的病理特点，对 肿块的定性诊断很有帮助。

Objective To analysis the micro-sized particles and strengthening distribution characteristics of different lung masses on enhanced CT scan, and to explore theirs diagnostic value. Methods 68 patients with lung mass confirmed by histopathological examination and clinical follow-up were examined with enhancement CT. Then all lung masses were divided into three groups :malignant, benign, and active inflammation, Analysised on the micro-sized particles and strengthening distribution characteristics of each groups, examined the association between the nature of lung mass and the microstructure characteristics using chi-square test, compared each of the two groups. Results The micro-sized particles were moderate Associated with the nature of lung masses (fisher value=51.119, P<0.001), Contingency Coefficient was 0.649, malignant masses were mainly micro particle type high proportion, benign masses were mainly large particle type high proportion, inflammatory masses were mainly large particle type and mixed type high proportion .The improved distribution type were moderate associated with the nature of lung masses (fisher value = 42.662, P<0.001), Contingency Coefficient was 0.605, malignant masses were mainly edge reinforcement high proportion, the benign masses and inflammation masses were mainly the central reinforcement high proportion. Conclusion The micro-sized particles and strengthening distribution characteristics of the lung masses with different nature may reflect the characteristics of the pathological changes of different masses, it is very helpful to diagnose and differential diagnoses of lung masses.