摘要
目的比较星形堆叠容积内插屏气(Star-VIBE)与T1-容积内插屏气(T1-VIBE)MRI显示周围型肺癌的价值。方法前瞻性对52例周围型肺癌患者共56个病灶行胸部Star-VIBE和T1-VIBE MR检查。基于2种序列图像观察形态学征象并进行主观评分;测量病灶最大径、信噪比(SNR)及对比度噪声比(CNR);以CT为参考,比较Star-VIBE and T1-VIBE MRI显示周围型肺癌的价值。结果Star-VIBE MRI显示毛刺征、分叶征、胸膜凹陷征和晕征优于T1-VIBE(P均<0.05)。Star-VIBE MRI的CNR及SNR均显著高于T1-VIBE(P均<0.001);2种MRI之间及其与CT所示病灶最大径之间差异均无统计学意义(P均>0.05)。结论Star-VIBE MRI显示周围型肺癌优于T1-VIBE。
Objective To compare the value of stack-of-stars-volumetric interpolated breath-hold examination(Star-VIBE)and T1-volumetric interpolated breath-hold examination(T1-VIBE)MRI for displaying peripheral lung cancer.Methods Fifty-two patients with 56 peripheral lung cancer were prospectively enrolled,and chest Star-VIBE and T1-VIBE MRI were acquired.The morphological features were observed,and the subjective scores were recorded.The maximum diameter,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of lesions were measured based on Star-VIBE and T1-VIBE MRI,respectively.Taken CT as the references,the value of Star-VIBE and T1-VIBE MRI for displaying peripheral lung cancer were compared.Results Star-VIBE MRI had higher scores for displaying spiculation sign,lobulation sign,pleural depression sign and halo sign than T1-VIBE(both P<0.05).CNR and SNR of Star-VIBE MRI were significantly higher than those of T1-VIBE(both P<0.001).No significant difference of the maximum diameter of lesions measured based on Star-VIBE and T1-VIBE MRI compared with CT was found,nor between Star-VIBE and T1-VIBE MRI(all P>0.05).Conclusion Star-VIBE MRI had better value for displaying peripheral lung cancer than T1-VIBE.
作者
江建芹
李真真
洪琴
肖勇
周笑
徐高峰
符益纲
胡春洪
JIANG Jianqin;LI Zhenzhen;HONG Qin;XIAO Yong;ZHOU Xiao;XU Gaofeng;FU Yigang;HU Chunhong(Department of Radiology,Yancheng No.1 People's Hospital,Yancheng 224000,China;Department of Radiology,the First Affiliated Hospital of Soochow University,Suzhou 215006,China;Department of Nuclear Medicine,Yancheng Third People's Hospital,Yancheng 224000,China)
出处
《中国医学影像技术》
CSCD
北大核心
2024年第6期858-862,共5页
Chinese Journal of Medical Imaging Technology
基金
盐城市重点研发计划(社会发展)指导性项目(YCBE202211)
徐州医科大学附属医院优秀人才基金项目(XYFY202304)。
关键词
肺肿瘤
磁共振成像
前瞻性研究
lung neoplasms
magnetic resonance imaging
prospective studies