肺内炎性肿块和周围型肺癌的影像学鉴别诊断  

Imaging Differential Diagnosis of Inflammatory Mass and Peripheral Lung Cancer in Lung

作　　者：贲晓燕 BEN Xiao-yan(Ruogang People＇s Hospital,Rugao,Jiangsu Province,226500 China)

机构地区：[1]如皋港人民医院放射科,江苏如皋226500

出　　处：《中外医疗》2018年第21期176-178,共3页China & Foreign Medical Treatment

摘　　要：目的探讨肺内炎性肿块和周围型肺癌的影像学特征,并对其影像学鉴别方式进行判定。方法以数字表法随机选取该院2015年1月—2017年11月确诊为肺内炎性肿块的58例患者及确诊为周围型肺癌的58例患者,对其CT影像资料进回顾性分析,依照肿块形态可分为典型性肿块及不典型性肿块,然后与病理确诊结果进行对比分析。结果不典型性肿块在炎性肿块和周围型肺癌敏感性、特异性及准确度为60.34%(35/58),70.68%(41/58),65.52%(76/116),两者之间差异无统计学意义(P>0.05);综合肿块形态及患者体征诊断结果与病理结果分析,其敏感性、特异性及准确度为67.24%(39/58),77.58%(45/58),72.41%(84/116),差异有统计学意义(P<0.05);肺内炎性肿块和周围型肺癌影像学特点显示,37例肺内炎性肿块患者影像学资料表现为边缘模糊,而34例周围型肺癌患者边缘较为清晰,两者在边缘影像学特点差异有统计学意义(P<0.05)。结论肺内炎性肿块和周围型肺癌患者的临床影像学诊断应以患者诊断及治疗为依据,综合分析患者病灶形态及影像学特征,能够有效提高诊断准确性、特异性,为预后治疗提供有力依据。Objective To investigate the imaging features of inflammatory masses and peripheral lung cancer in lung, and to determine the diagnostic methods of imaging. Methods The number table method randomly selected 58 patients diagnosed with pulmonary inflammatory mass in the hospital from January 2015 to November 2017 and 58 patients diagnosed with peripheral lung cancer. The CT imaging data were retrospectively analyzed according to the masses can be divided into typical masses and atypical masses, and then compared with the results of pathological diagnosis. Results The sensitivity, specificity and accuracy of atypical masses in inflammatory masses and peripheral lung cancer were 60.34%（35/58）, 70.68%（41/58）, and 65.5%（76/116）. There was no statistically significant difference（P〉0.05）. The sensitivity, specificity, and accuracy of the combined mass morphology and patient sign diagnosis results and pathological results were 67.24%（39/58）, 77.58%（45/58）, 72.4%.（84/116）, with statistically significant（P0.05）; the imaging features of inflammatory masses and peripheral lung cancers in the lung showed that 37 cases of pulmonary inflammatory masses showed blurring of the imaging data, while34 cases had peripheral edge of patients with lung cancer was relatively clear, and there were statistically significant in the characteristics of edge imaging between the two groups（P〈0.05）. Conclusion The clinical imaging diagnosis of lung inflammatory mass and peripheral lung cancer patients should be based on the diagnosis and treatment of patients. Analysis of patient＇s lesion morphology and imaging features can effectively improve the accuracy and specificity of diagnosis, and provide a strong basis for prognosis treatment.

关 键 词：肺内炎性肿块 周围型 肺癌 影像学 特征 

分 类 号：R734.2[医药卫生—肿瘤]