摘要
目的探讨军营内腺病毒肺炎的常见CT表现,并分析其病理基础。方法收集2016年10-11月陕西省某新兵训练营被确诊腺病毒感染而入住我院,且胸部CT检查发现明显肺部病变的14例患者进行影像学分析。结果 14例病例中,12例为肺部单发病变,2例为肺内两处病变,共计16处病灶。分布:病变多见于双肺中下叶,其中右肺上叶3处,中叶4处,下叶5处;左肺上叶1处,下叶3处。形态:11处病变呈类圆形,其余5处病变呈楔形;密度:11处(68.8%)病变表现为斑片状密度增高影;3处(18.7%)病变表现为大片类圆形实变并周围磨玻璃影,边界不清,病变内部可见空气支气管征;2处(12.5%)病变表现为边界不清的小片状磨玻璃影。实变性病变的吸收时间显著长于斑片状病变及磨玻璃病变。结论胸部CT检查对腺病毒肺炎具有一定的诊断价值,病变多见于双肺中下叶,早期CT表现以斑片状渗出性病变为主,类圆形实变性病变伴周围磨玻璃影较具特征性。
Objective To investigate the CT characteristics and pathological basis of adenovirus pneumonia in military.Methods We retrospectively reviewed the CT scanning of 14 patients with adenovirus pneumonia,who were recruited from a training camp and admitted to our hospital,between October and November,2016.Results Twelve patients had single lesion and the rest 2 had two lesions,respectively.Distribution:lesions were more frequently observed in the middle and lower lobes.There were 3 lesions in the upper lobe,4 lesions in the middle lobe,and 5 lesions in the lower lobe of the right lung.Meanwhile,there were 3 lesions in the lower lobe and 1 lesion in the upper lobe of the left lung.Morphology:the lesions were round-like in 11 and wedge-shaped in 5 patients.CT attenuation:it was patchy opacity in 11 patients(68.8%),round-like and air-space consolidation with ill-defined ground-glass opacity in 3 patients(18.7%),and small patches of ground-glass opacity in 2 patients.The absorption time of consolidation is significantly longer than the patchy opacity and ground-glass opacity.Conclusion Thoracic CT scanning play an important role in the diagnosis of adult adenovirus pneumonia.The lesions were commonly located in the middle and lower lobes of bilateral lungs.Patchy opacity was more frequently observed in the early stage.The most characteristic manifestation of CT scanning is round and air-space consolidation with ground-glass opacity.
作者
李刚锋
王文
井勇
胡玉川
崔光彬
LI Gang-feng;WANG Wen;JING Yong(Department of Radiology,Functionaland Molecular Imaging Key Lab of Shaanxi Province,Tangdu Hospital,Fourth MilitaryMedical University,Xi'an 710038,Shaanxi Province,China)
出处
《中国CT和MRI杂志》
2018年第11期59-61,68,共4页
Chinese Journal of CT and MRI
