| 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 |
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| 引用本文： | 胡子琳,王淑梅.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[J].CT理论与应用研究,2022,31(1):73-79. |
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| 作者姓名： | 胡子琳 王淑梅 |
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| 作者单位： | 保定市第一中心医院影像一科, 河北 保定071000 |
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| 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 10...
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| 关 键 词： | 影像组学 CT图像 胃肠道间质瘤 纹理分析 基因突变 |
| 收稿时间： | 2021-03-06 |
Preliminary Study of CT Radiomics Analysis on Differentiating Exon 9/11 Mutations of c-kit Gene in Gastrointestinal Stromal Tumors |
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| HU Zilin,WANG Shumei.Preliminary Study of CT Radiomics Analysis on Differentiating Exon 9/11 Mutations of c-kit Gene in Gastrointestinal Stromal Tumors[J].Computerized Tomography Theory and Applications,2022,31(1):73-79. |
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| Authors: | HU Zilin WANG Shumei |
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| Institution: | The First Imaging Department, Baoding No.1 Central Hospital, Baoding 071000, China |
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| Abstract: | 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. |
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