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多层螺旋CT灌注成像对外周型小结节状肺腺癌淋巴结转移的诊断价值 被引量:18

MSCT perfusion imaging in the diagnosis of lymph node metastasis in peripheral small nodules lung cancer
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摘要 目的探讨多层螺旋CT(MSCT)灌注成像对外周型小结节状肺腺癌淋巴结转移的诊断价值。方法选取2012年1月至2014年6月间河北省沧州市人民医院收治的260例肺腺癌患者的MSCT影像特征与灌注参数进行回顾性分析,采用多元相关分析探讨影像特征、灌注参数与病理特征的关系。结果不同分化程度患者的血流量(BF)、血容量(BV)和强化峰值(PEI)比较差异有统计学意义(P<0.05),且BF和PEI随着分化程度降低而降低,差异有统计学意义(P<0.05)。淋巴结转移患者的BF、BV和PEI比无淋巴转移患者均低,术后出现转移或复发患者的BF和PEI比术后无转移或复发的患者低,差异均有统计学意义(均P<0.05)。结论 MSCT灌注成像能够预测淋巴结转移与术后复发的可能性,对临床诊断外周型小结节状肺腺癌淋巴结转移具有重要意义。 Objective To investigate the value of multi-slice CT( MSCT) perfusion imaging in the diagnosis of lymph node metastasis in peripheral small nodules lung cancer. Methods The MSCT features and perfusion parameters of 260 patients with lung adenocarcinoma were analyzed retrospectively,and the relationship between imaging features,perfusion parameters and pathological features was analyzed by a multivariate correlation analysis. Results There was significant difference in blood flow( BF),blood volume( BV) and peak enhancement( PEI) among patients with different degrees of differentiation( P〈0. 05)and BF and PEI decreased with the decrease of differentiation( P〈0. 05). BF,BV and PEI level was lower in patients with lymph node metastasis than patients without lymph node metastasis. BF and PEI level was lower in patients with postoperative recurrent-metastasis than in patients without postoperative recurrent-metastasis( all P〈0. 05). Conclusion MSCT perfusion imaging can predict the possibility of lymph node metastasis and postoperative recurrence. It is of great significance for the clinical diagnosis of lymph node metastasis in peripheral small nodules lung cancer.
作者 冯刚 寇介丽 蒋浩 曹新超 马永峰 FENG Gang KOU Jie-li JIANG Hao CAO Xin-chao MA Yong-feng(CT Room Department of Chest Surgery, Cangzhou City People's Hospital, Cangzhou 061000, China)
出处 《中国肿瘤临床与康复》 2017年第4期440-442,共3页 Chinese Journal of Clinical Oncology and Rehabilitation
基金 沧州市科技计划项目任务书(编号151302054)
关键词 MSCT灌注成像 外周型小结节肺腺肿瘤 淋巴结转移 价值分析 MSCT perfusion imaging Peripheral small nodules lung adenocarcinoma Lymph node metastasis Value analysis
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