摘要
目的探讨超高b值DWI对我国男性前列腺癌诊断的价值。方法收集PubMed、中国知网(CNKI)、万方、维普等中英文数据库收录的建库以来至2018年8月有关超高b值DWI诊断前列腺癌的相关文献。采用Stata 12.0对数据进行Meta分析,计算其合并敏感性、特异性、似然比、诊断优势比等,绘制森林图及SROC曲线,通过漏斗图评估纳入文献的发表偏倚。结果本研究共纳入11篇文献,由于文献存在非阈值效应(P>0.05),因此,本研究采用随机效应模型。标准b值DWI时,合并后的敏感性为0.68、特异性为0.72、阳性似然比为2.42、阴性似然比为0.45、诊断优势比为5.36,AUC为0.68。超高b值DWI时,合并后的敏感性为0.86,特异性为0.83,阳性似然比为4.89,阴性似然比为0.18,诊断优势比为27.99,AUC为0.89。本研究不存在发表偏倚(P>0.05)。结论超高b值DWI较标准b值DWI对我国男性前列腺癌的诊断有更高的敏感度和特异度,因此,超高b值DWI对我国男性前列腺癌具有更高的诊断价值。
Objective To investigate the value of ultra-high b-value DWI in the diagnosis of male prostate cancer in my country.Methods From PubMed,China Knowledge Network,Wanfang,Weipu,and other Chinese and English databases published from the establishment of the database to 2018-07 related to ultrahigh b-value DWI diagnosis of prostate cancer literature.Meta-analysis of the data was performed using Stata 12.0,the combined sensitivity,specificity,likelihood ratio,diagnostic odds ratio,etc.were calculated,the forest plot and SROC curve were drawn,and the publication bias of the included literature was assessed through the funnel plot.Results A total of 11 documents were included in this study.Due to the existence of non-threshold effects(P>0.05) in the literature,this study adopted a random effects model.For standard b-value DWI,the combined sensitivity is 0.68,the specificity is 0.72,the positive likelihood ratio is 2.42,and the negative likelihood ratio is 0.45,the diagnostic odds ratio was 5.36,AUC was 0.68.In ultra-high b-value DWI,the combined sensitivity is 0.86,the specificity is0.83,the positive likelihood ratio is 4.89,and the negative likelihood ratio is 0.18,the diagnostic odds ratio was 27.99,and the AUC was 0.89.There is no publication bias in the study(P>0.05).Conclusion The Ultra-high b-value DWI is more sensitive and specific than standa rd b-value DWI for the diagnosis of Chinese male prostate cancer.Therefore,ultra-high b-value DWI has higher diagnostic value for Chinese male prostate cancer.
作者
仇菲
甄俊平
李嘉楠
黄竹媛
周宇堃
靳波
边文瑾
QIU Fei;ZHEN Jun-ping;LI Jia-nan;HUANG Zhu-yuan;ZHOU Yu-kun;JIN Bo;BIAN Wen-jin(Department of Medical Imaging,Shanxi Medical University,Taiyuan,030001,Shanxi Province,China;MRI Room,The second hospital of shanxi medical university,Taiyuan 030000,Shanxi Province,China)
出处
《中国CT和MRI杂志》
2021年第3期113-117,共5页
Chinese Journal of CT and MRI
