A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma
文献类型：期刊论文
| 作者 | Tong, Yahan2,3,4; Li, Jiaying5,6; Chen, Jieyu2,3; Hu, Can3,4,7; Xu, Zhiyuan3,4,7; Duan, Shaofeng8; Wang, Xiaojie1 ; Yu, Risheng1; Cheng, Xiangdong3,4,7
|
| 刊名 | FRONTIERS IN ONCOLOGY
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 12 |
| ISSN号 | 2234-943X |
| 关键词 | gastric cancer adenocarcinoma radiomics tomography X-ray computed nomogram DNA mismatch repair deficiency |
| DOI | 10.3389/fonc.2022.865548 |
| 通讯作者 | Yu, Risheng() ; Cheng, Xiangdong() |
| 英文摘要 | PurposeTo develop and validate a radiomics nomogram integrated with clinic-radiological features for preoperative prediction of DNA mismatch repair deficiency (dMMR) in gastric adenocarcinoma. Materials and MethodsFrom March 2014 to August 2020, 161 patients with pathologically confirmed gastric adenocarcinoma were included from two centers (center 1 as the training and internal testing sets, n = 101; center 2 as the external testing sets, n = 60). All patients underwent preoperative contrast-enhanced computerized tomography (CT) examination. Radiomics features were extracted from portal-venous phase CT images. Max-relevance and min-redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) methods were used to select features, and then radiomics signature was constructed using logistic regression analysis. A radiomics nomogram was built incorporating the radiomics signature and independent clinical predictors. The model performance was assessed using receiver operating characteristic (ROC) curve analysis, calibration curve, and decision curve analysis (DCA). ResultsThe radiomics signature, which was constructed using two selected features, was significantly associated with dMMR gastric adenocarcinoma in the training and internal testing sets (P < 0.05). The radiomics signature model showed a moderate discrimination ability with an area under the ROC curve (AUC) of 0.81 in the training set, which was confirmed with an AUC of 0.78 in the internal testing set. The radiomics nomogram consisting of the radiomics signature and clinical factors (age, sex, and location) showed excellent discrimination in the training, internal testing, and external testing sets with AUCs of 0.93, 0.82, and 0.83, respectively. Further, calibration curves and DCA analysis demonstrated good fit and clinical utility of the radiomics nomogram. ConclusionsThe radiomics nomogram combining radiomics signature and clinical characteristics (age, sex, and location) may be used to individually predict dMMR of gastric adenocarcinoma. |
| WOS关键词 | MICROSATELLITE INSTABILITY ; GENETIC INSTABILITY ; CANCER ; IMAGES ; TUMORS ; MODEL |
| 资助项目 | Key Laboratory of Prevention, Diagnosis and Therapy of Upper Gastrointestinal Cancer of Zhejiang Province[2022E10021] ; Medical Health Science and Technology Project of Zhejiang Province[2022KY655] |
| WOS研究方向 | Oncology |
| 语种 | 英语 |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:000885784600001 |
| 资助机构 | Key Laboratory of Prevention, Diagnosis and Therapy of Upper Gastrointestinal Cancer of Zhejiang Province ; Medical Health Science and Technology Project of Zhejiang Province |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/130379]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Yu, Risheng; Cheng, Xiangdong |
| 作者单位 | 1.Zhejiang Univ, Affiliated Hosp 2, Sch Med, Dept Radiol, Hangzhou, Peoples R China 2.Univ Chinese Acad Sci, Canc Hosp, Zhejiang Canc Hosp, Dept Radiol, Hangzhou, Peoples R China 3.Chinese Acad Sci, Inst Basic Med & Canc IBMC, Hangzhou, Peoples R China 4.Key Lab Prevent Diag & Therapy Upper Gastrointesti, Hangzhou, Peoples R China 5.Zhejiang Chinese Med Univ, Clin Med Coll 1, Dept Radiol, Hangzhou, Peoples R China 6.First Affiliated Hosp Zhejiang Chinese Med Univ, Dept Radiol, Hangzhou, Peoples R China 7.Univ Chinese Acad Sci, Canc Hosp, Zhejiang Canc Hosp, Dept Gastr Surg, Hangzhou, Peoples R China 8.GE Healthcare, Precis Hlth Inst, Shanghai, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tong, Yahan,Li, Jiaying,Chen, Jieyu,et al. A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma[J]. FRONTIERS IN ONCOLOGY,2022,12. |
| APA | Tong, Yahan.,Li, Jiaying.,Chen, Jieyu.,Hu, Can.,Xu, Zhiyuan.,...&Cheng, Xiangdong.(2022).A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma.FRONTIERS IN ONCOLOGY,12. |
| MLA | Tong, Yahan,et al."A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma".FRONTIERS IN ONCOLOGY 12(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。