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主管:陕西省卫生健康委员会
主办:西安心身医学研究所
   西安交通大学第一附属医院
国际标准刊号:ISSN2096—1413
国内统一刊号:CN61—1503/R

影像学在肺部肿瘤诊断中的应用分析

武新利1 ,罗春海2

(1.西安市灞桥区中医医院放射科,陕西 西安,710038;2.西安医学院第二附属医院放射科,陕西 西安,710038)

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摘要:

目的 评价影像学在肺部肿瘤诊断中的应用价值。方法 选取2015年1月至2016年12月在我院诊断为肺结节的患者80例,分析X线平片、CR、CT诊断与实验室检测结果。结果 80 例患者共检出142个结节,诊断肺癌54个,良性病变88 个; 诊断出恶性肿瘤患者50 例。影像学对恶性肿瘤的诊断灵敏度、特异度、阳性预测值、阴性预测值、符合率均高于实验室诊断(P<0.05),CT 对恶性结节诊断的灵敏度、特异度、阳性预测值、阴性预测值、符合率均高于CR(P<0.05)。良性结节增强扫描的 BF、BV、MTT、PS、90 s 强化值水平低于恶性结节(P<0.05)。结论 影像学在肺部肿瘤诊断中必不可少,诊断效用远高于实验室 检测,CT 定性诊断肺部结节效用较高,增强灌注扫描可获得丰富的量化指标信息。

关键词:肺癌;结节;影像学

中图分类号:R734.2文献标志码:A文章编号:2096-1413(2017)30-0141-02

    Application analysis of imaging in the diagnosis of lung tumors
    WU Xin-li 1, LUO Chun-hai 2
    (1. Department of Radiology, Baqiao District Hospital of Traditional Chinese Medicine, Xi``an 710038; 2. Department of Radiology, the Second Affiliated Hospital of Xi``an Medical University, Xi``an 710038, China)

    ABSTRACT: Objective To evaluate the value of imaging examination in the diagnosis of lung tumors. Methods Eighty cases of patients were diagnosed with pulmonary nodules in our hospital from January 2015 to December 2016, they were detected with X -ray, CR, CT and laboratory examination, the results were analyzed. Results Among the 80 cases, 142 nodules were detectied, diagnosed with lung cancer in 54 nodules, benign lesions in 88 cases; fifty cases of patients were diagnosed with malignant tumor. The diagnostic sensitivity, specificity, positive predictive value, negative predictive value and coincidence rate of malignant tumor of imaging detection were higher than those of laboratory diagnosis (P<0.05), and those of CT were higher than CR (P<0.05). The enhancement levels of BF, BV, MTT, PS and 90 s in benign nodules were lower than those in malignant nodules (P<0.05). Conclusion Imaging is essential in the diagnosis of lung cancer, the diagnostic utility is much higher than that of the laboratory test. CT qualitative diagnosis of pulmonary nodules is highly effective, and enhanced perfusion scanning can obtain a wealth of quantitative indicators.
    KEYWORD: lung cancer; nodule; imaging

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