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多层螺旋CT增强扫描区分中央型肺癌肿块与肺不张
引用本文:彭志刚,刘明,李石玲,杜传国,郭智萍,赵振江,魏培建,张敏.多层螺旋CT增强扫描区分中央型肺癌肿块与肺不张[J].实用放射学杂志,2007,23(8):1037-1039.
作者姓名:彭志刚  刘明  李石玲  杜传国  郭智萍  赵振江  魏培建  张敏
作者单位:河北医科大学第三医院CT室,河北,石家庄,050051
基金项目:河北省科技厅科技攻关项目
摘    要:目的探讨多层螺旋CT多期增强扫描在区分中央型肺癌肿块与肺不张的价值。方法回顾性分析2004-05—2005-12经术后病理或痰细胞检查证实的中央型肺癌患者30例。CT增强扫描共分三期,即肺动脉期、主动脉期、实质期。区分肿块与肺不张主要根据两者增强后的密度差异。另外支气管积液的截断面有重要的参考价值。统计各期的可区分肿块与肺不张的例数,并进行统计学处理。结果肺动脉期、主动脉期、实质期各期能够分辨肿瘤与肺不张边界的比例分别为39.1%、64.3%和82.8%。结论多层螺旋CT增强扫描能够区分多数中央型肺癌肿物与阻塞性肺不张组织,实质期区分率最高。

关 键 词:  中央型肺癌  体层摄影术  X线计算机  肺不张
文章编号:1002-1671(2007)08-1037-03
修稿时间:2006年12月15

Differential Central Pulmonary Carcinoma from Lobar Collapse by Contrast- enhanced MSCT
PENG Zhi-gang,LIU Ming,LI Shi-ling,DU Chuan-guo,GUO Zhi-ping,ZHAO Zhen-jiang,WEI Pei-jian,ZHANG Min.Differential Central Pulmonary Carcinoma from Lobar Collapse by Contrast- enhanced MSCT[J].Journal of Practical Radiology,2007,23(8):1037-1039.
Authors:PENG Zhi-gang  LIU Ming  LI Shi-ling  DU Chuan-guo  GUO Zhi-ping  ZHAO Zhen-jiang  WEI Pei-jian  ZHANG Min
Abstract:Objective To evaluate the value in differentiating central lung cancer from post-obstructive lobar collapse with contrast-enhanced multi-slice spiral CT(MSCT).Methods 30 cases with central lung cancer proved histologically from May 2004 to December 2005 were included in this study.Contrast-enhanced CT scan included three phase:pulmonary artery phase,aorta phase and parenchyma phase.The differentiation between pulmonary atelectasis and mass was mainly according to the dense difference of atelectasis and masses on contrast-enhanced CT scan (three phase),while the section of bronchoalveolar fluid was important reference value.Th results were statistically analysed.Results The percent of boundary between the mass and lobar collapse could be distinguished clearly was 39.1%,64.3% and 82.8%, respectively at pulmonary artery phase,aorta phase and parenchyma phase.Conclusion Contrast-enhanced MSCT scan can differentiate central lung cancer from the collapsed lung in most cases. The parenchyma phase is of the best advantage in distinguishing lung cancer masses and the lung collapse.
Keywords:lung  central pulmonary carcinoma  lung collapse  tomography  X-ray computed
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