CT影像组学分析鉴别胃肠道间质瘤c-kit基因9/11号外显子突变的初步研究  

Preliminary Study of CT Radiomics Analysis on Differentiating Exon 9/11 Mutations of c-kit Gene in Gastrointestinal Stromal Tumors

作　　者：胡子琳 王淑梅[1] HU Zilin;WANG Shumei(The First Imaging Department,Baoding No.1 Central Hospital,Baoding 071000,China)

机构地区：[1]保定市第一中心医院影像一科,河北保定071000

出　　处：《CT理论与应用研究（中英文）》2022年第1期73-79,共7页Computerized Tomography Theory and Applications

摘　　要：目的:探讨CT影像组学分析方法用于鉴别胃肠道间质瘤(GIST)的c-kit基因9/11号外显子突变的可行性。材料与方法:回顾性分析49例经基因病理学检查证实c-kit基因突变的GIST患者的增强CT影像资料,其中9号外显子突变的有9例,11号外显子突变的有40例。采用Python Pyradiomics工具提取了105个影像组学特征,经过LASSO回归筛选有价值特征,并进行差异性比较和鉴别模型的构建。结果:经过特征筛选,最终选出7个有价值的影像组学特征,使用逻辑回归建模的曲线下面积(AUC)为0.79。结论:CT影像组学分析具有鉴别GIST中c-kit基因9/11号外显子突变的潜力。Objective:To investigate the feasibility of CT radiomics analysis for the identification of exon 9 and 11 mutations of c-kit gene in gastrointestinal stromal tumor(GIST).Materials and Methods:We retrospectively analyzed 49 GIST enhanced CT cases with c-kit mutation confirmed by molecular pathology,9 had exon 9 mutation,and 40 had exon 11 mutation.105 radiomics features were extracted by using python pyradiomics,and feature selection was performed by LASSO regression.Then,the differences were compared and the identification model was constructed.Results:By LASSO selection,7 valuable radiomics features were selected,and the logistic regression model had a good performance(area under curve,AUC=0.79).Conclusion:CT radiomics analysis had the potential to distinguish c-kit gene exon 9 and 11 mutations in GIST.

关 键 词：影像组学 CT图像 胃肠道间质瘤 纹理分析 基因突变 

分 类 号：R445.3[医药卫生—影像医学与核医学]