Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?
文献类型：期刊论文
| 作者 | Liu, Lulu1,2,4; Lu, Fangxiao1,2,4; Pang, Peipei3; Shao, Guoliang1,2,4 |
| 刊名 | BIOMEDICAL ENGINEERING ONLINE
 |
| 出版日期 | 2020-12-27 |
| 卷号 | 19 |
| 关键词 | Anterior mediastinal cysts Thymomas Radiomics Enhanced CT |
| DOI | 10.1186/s12938-020-00833-9 |
| 通讯作者 | Shao, Guoliang(449031795@qq.com) |
| 英文摘要 | Background Anterior mediastinal cysts (AMC) are often misdiagnosed as thymomas and undergo surgical resection, which caused unnecessary treatment and medical resource waste. The purpose of this study is to explore potential possibility of computed tomography (CT)-based radiomics for the diagnosis of AMC and type B1 and B2 thymomas. Methods A group of 188 patients with pathologically confirmed AMC (106 cases misdiagnosed as thymomas in CT) and thymomas (82 cases) and underwent routine chest CT from January 2010 to December 2018 were retrospectively analyzed. The lesions were manually delineated using ITK-SNAP software, and radiomics features were performed using the artificial intelligence kit (AK) software. A total of 180 tumour texture features were extracted from enhanced CT and unenhanced CT, respectively. The general test, correlation analysis, and LASSO were used to features selection and then the radiomics signature (radscore) was obtained. The combined model including radscore and independent clinical factors was developed. The model performances were evaluated on discrimination, calibration curve. Results Two radscore models were constructed from the unenhanced and enhanced phases based on the selected four and three features, respectively. The AUC, sensitivity, and specificity of the enhanced radscore model were 0.928, 89.3%, and 83.8% in the training dataset and 0.899, 84.6%, and 87.5% in the test dataset (higher than the unenhanced radscore model). The combined model of enhanced CT including radiomics features and independent clinical factors yielded an AUC, sensitivity and specificity of 0.941, 82.1%, and 94.6% in the training dataset and 0.938, 92.3%, and 87.5% in the test dataset (higher than the unenhanced combined model and enhanced radscore model). Conclusions The study suggested the possibility that the combined model in enhanced CT provided a potential tool to facilitate the differential diagnosis of AMC and type B1 and B2 thymomas. |
| WOS关键词 | TEXTURE ANALYSIS ; SOLID MASSES ; DIFFERENTIATION ; FEATURES ; IMAGES ; CRITERIA ; SUBTYPES ; MARKER |
| 资助项目 | Zhejiang Major Science and Technology Project[2019C03058] ; Zhejiang Medicine and Health Science and Technology Program[2019KY324] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000594290300001 |
| 出版者 | BMC |
| 资助机构 | Zhejiang Major Science and Technology Project ; Zhejiang Medicine and Health Science and Technology Program |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/105484]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Shao, Guoliang |
| 作者单位 | 1.Univ Chinese Acad Sci, Canc Hosp, Dept Radiol, Hangzhou, Peoples R China 2.Zhejiang Canc Hosp, Dept Radiol, 1 Banshan St, Hangzhou 321022, Zhejiang, Peoples R China 3.GE Healthcare, Life Sci, Hangzhou 310000, Zhejiang, Peoples R China 4.Chinese Acad Sci, Inst Canc & Basic Med ICBM, Hangzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Lulu,Lu, Fangxiao,Pang, Peipei,et al. Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?[J]. BIOMEDICAL ENGINEERING ONLINE,2020,19. |
| APA | Liu, Lulu,Lu, Fangxiao,Pang, Peipei,&Shao, Guoliang.(2020).Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?.BIOMEDICAL ENGINEERING ONLINE,19. |
| MLA | Liu, Lulu,et al."Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?".BIOMEDICAL ENGINEERING ONLINE 19(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
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