摘要
目的探讨IVIM参数直方图分析在宫颈鳞癌病理分级及临床分期中的应用价值。方法选取经病理确诊的49例宫颈癌患者,所有患者均行常规MRI检查及多b值DWI检查,将后处理生成的IVIM-DWI参数图导入MaZda软件进行纹理分析,分别得到D、D^(*)和f的直方图参数,通过SPSS 19.0软件进行统计分析,使用独立样本t检验比较中高分化与低分化宫颈癌组、早期与晚期宫颈癌组各相关参数之间的差异,对有意义的参数采用受试者工作特征(ROC)曲线分析其诊断效能。结果中高分化组与低分化组之间D偏度、D峰度、D90th、f偏度、f峰度、f50th、f99th具有统计学差异(P<0.05),其中f峰度的ROC_(AUC)最大,为0.778。D平均值、D10th、D50th在早期及晚期宫颈癌中的差异有统计学意义(P<0.05),且D50th的ROC_(AUC)最大,为0.743。结论IVIM参数直方图分析是用一种创新的方法来观察肿瘤的异质性,在宫颈癌病理分级及临床分期中具有很大的优势,有望成为一种新的、有价值的研究方法。
Objective To explore the application value of IVIM parameter histogram analysis in pathological grading and clinical staging of cervical squamous cell cancer.Methods We collected a total of 49 patients with cervical cancer confirmed by pathology.All patients underwent routine MRI and multi-b DWI scanning.Importing IVIM parameter maps were generated by post-processing into MaZda software for texture analysis of parameters.Histogram parameters of D,D^(*) and f were obtained respectively.Statistical analysis was performed using the SPSS 19.0 software.Independent sample t test was used to compare the differences between medium and high differentiation cervical cancer group and low differentiation cervical cancer group,early cervical cancer group and advanced cervical cancer group in various related parameters.The receiver operating characteristic(ROC)was used to analyze the diagnostic efficiency of meaningful parameters.Results D skewness,D kurtosis,D90th,f skewness,f kurtosis,f50th and f99th had statistical significance between well/moderately tumours and poorly differentiated tumours(P<0.05),ROC_(AUC) of f kurtosis was the largest,which was 0.778.D mean,D10th and D50th had statistical significance in the comparison of early and advanced stage of cervical cancer(P<0.05),and the diagnostic value of D50th was the largest,the ROC_(AUC) was 0.743.Conclusion Histogram analysis of IVIM is an innovative method to study tumor heterogeneity.It has great advantages in pathological grading and clinical staging of cervical cancer,which is expected to be a new and valuable research method.
作者
戚轩
何永胜
王武陵
罗潇
许敏
夏亮
QI Xuan;HE Yongsheng;WANG Wuling;LUO Xiao;XU Min;XIA Liang(Department of Radiology, Maanshan People' s Hospital, Maanshan 243000, China)
出处
《医学影像学杂志》
2022年第5期817-822,共6页
Journal of Medical Imaging
关键词
宫颈癌
体素内不相干运动
直方图分析
双指数模型
Cervical cancer
Intravoxel incoherent motion
Histogram analysis
Double exponential model
作者简介
戚轩(1991-),女,毕业于安徽医科大学,本科学历,住院医师,主要从事MRI诊断工作;通信作者:何永胜,E-mail:heyonngsheng881@163.com。
