摘要
目的探讨甲型H1N1流感胸部HRCT表现。方法回顾性分析163例临床确诊为甲型H1N1流感患者的172次胸部HRCT扫描(复查9例)资料,采用标准肺窗和纵隔窗观察图像,分析胸部HRCT影像表现。结果97例胸部HRCT未见异常,其余66例HRCT主要表现为:(1)肺实质和间质同时受累,磨玻璃密度影35例(53.0%),小叶中心结节30例(45.5%),小叶内间质及小叶间隔增厚31例(47.0%),网状结节影8例(12.1%),单小叶炎症19例(28.8%),实变15例(22.7%),肺不张3例(4.5%),条索影2例(3.0%)。(2)胸膜炎症:右侧胸膜炎症8例,左侧胸膜炎症5例,双侧胸膜炎症19例。(3)纵隔淋巴结和腋窝淋巴结肿大7例。(4)抗病毒治疗后病灶吸收快。结论甲型H1N1流感患者胸部HRCT影像表现多样,类似病毒性肺炎表现,可见肺实质和肺间质炎症、胸膜炎症和纵隔淋巴结肿大。
Objective To explore the chest features of patients with the novel influenza type A H1N1 on HRCT. Methods One hundred and seventy-two chest HRCT examinations on 163 cases with Influenza type A H1N1 (9 cases were reexamed) were retrospectively analyzed using standard pulmonary window and mediastinal window, respectively. HRCT imaging appearances were summarized. Results Ninety-seven cases showed normal on chest HRCT, while the others showed abnormalities of parenchymal and interstitial. Among them, HRCT identified ground-glass opacity in 35 cases (53.0%) , centrilobular nodules in 30 cases (45.5%) , thickening of intralobular septa in 31 cases (47.0%) , intralobular thin reticulation and micro-nodule in 8 cases ( 12. 1% ), single-lobular inflammation in 19 cases (28. 8% ), consolidation of lung ( the large consolidation and multiple small consolidations ) in 15 cases ( 22. 7% ) , pulmonary atelectasis in 3 cases (4. 5% ), and irregular lines in 2 cases (3.0%). Pleurisy was also revealed including 8 cases with right pleurisy, 5 cases with left pleurisy, and 19 cases with bilateral pleurisy. Mediastinal and axillary lymphadenopathy were found in 7 cases, who were spared of pleural effusion. All above abnormalities resolved quickly after anti- virus treatment. Conclusion Parenchymal and interstitial abnormalities, mediastinum and axillary fossa lymphadenopathy, and pleural effusion were the common findings on HRCT in patients with Influenza type A H1N1, which were similar to those of other viral pneumonia.
出处
《中华放射学杂志》
CAS
CSCD
北大核心
2010年第2期127-129,共3页
Chinese Journal of Radiology
关键词
流感
人
胸部疾病
体层摄影术
X线计算机
Influenza, human
Thoracic diseases
Tomography, X-ray computed