中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Radiomics based on pretreatment MRI for predicting distant metastasis of nasopharyngeal carcinoma: A preliminary study

文献类型:期刊论文

作者Jiang, Tingting3,4; Tan, Yalan3,4; Nan, Shuaimin3,4; Wang, Fang3,4; Chen, Wujie3,4; Wei, Yuguo2; Liu, Tongxin1,3; Qin, Weifeng1,3; Lu, Fangxiao3,4; Jiang, Feng1,3
刊名FRONTIERS IN ONCOLOGY
出版日期2022-08-09
卷号12
关键词nasopharyngeal carcinoma distant metastasis radiomics prediction model magnetic resonance imaging
ISSN号2234-943X
DOI10.3389/fonc.2022.975881
通讯作者Jiang, Haitao(jianght@zjcc.org.cn)
英文摘要Objective: To explore the feasibility of predicting distant metastasis (DM) of nasopharyngeal carcinoma (NPC) patients based on MRI radiomics model. Methods: A total of 146 patients with NPC pathologically confirmed, who did not exhibit DM before treatment, were retrospectively reviewed and followed up for at least one year to analyze the DM risk of the disease. The MRI images of these patients including T2WI and CE-T1WI sequences were extracted. The cases were randomly divided into training group (n=116) and validation group (n=30). The images were filtered before radiomics feature extraction. The least absolute shrinkage and selection operator (LASSO) regression was used to develop the dimension of texture parameters and the logistic regression was used to construct the prediction model. The ROC curve and calibration curve were used to evaluate the predictive performance of the model, and the area under curve (AUC), accuracy, sensitivity, and specificity were calculated. Results: 72 patients had DM and 74 patients had no DM. The AUC, accuracy, sensitivity and specificity of the model were 0. 80 (95% CI: 0.72 similar to 0. 88), 75.0%, 76.8%, 73.3%. and0.70 (95% CI: 0.51 similar to 0.90), 66.7%, 72.7%, 63.2% in training group and validation group, respectively. Conclusion: The radiomics model based on logistic regression algorithm has application potential for evaluating the DM risk of patients with NPC.
资助项目Medical and Health Research Project of Zhejiang Province ; Natural Science Foundation of Zhejiang Province ; [2020KY486] ; [2022C03072]
WOS研究方向Oncology
语种英语
WOS记录号WOS:000843819200001
出版者FRONTIERS MEDIA SA
资助机构Medical and Health Research Project of Zhejiang Province ; Natural Science Foundation of Zhejiang Province
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/132007]  
专题中国科学院合肥物质科学研究院
通讯作者Jiang, Haitao
作者单位1.Univ Chinese Acad Sci, Zhejiang Canc Hosp, Dept Radiat Oncol, Canc Hosp, Hangzhou, Peoples R China
2.Precis Hlth Inst, Gen Elect GE Healthcare, Hangzhou, Peoples R China
3.Chinese Acad Sci, Inst Basic Med & Canc IBMC, Hangzhou, Peoples R China
4.Univ Chinese Acad Sci, Zhejiang Canc Hosp, Dept Radiol, Canc Hosp, Hangzhou, Peoples R China
推荐引用方式
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Jiang, Tingting,Tan, Yalan,Nan, Shuaimin,et al. Radiomics based on pretreatment MRI for predicting distant metastasis of nasopharyngeal carcinoma: A preliminary study[J]. FRONTIERS IN ONCOLOGY,2022,12.
APA Jiang, Tingting.,Tan, Yalan.,Nan, Shuaimin.,Wang, Fang.,Chen, Wujie.,...&Jiang, Haitao.(2022).Radiomics based on pretreatment MRI for predicting distant metastasis of nasopharyngeal carcinoma: A preliminary study.FRONTIERS IN ONCOLOGY,12.
MLA Jiang, Tingting,et al."Radiomics based on pretreatment MRI for predicting distant metastasis of nasopharyngeal carcinoma: A preliminary study".FRONTIERS IN ONCOLOGY 12(2022).

入库方式: OAI收割

来源:合肥物质科学研究院

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