Radiomics based on pretreatment MRI for predicting distant metastasis of nasopharyngeal carcinoma: A preliminary study

doi:10.3389/fonc.2022.975881

	Radiomics based on pretreatment MRI for predicting distant metastasis of nasopharyngeal carcinoma: A preliminary study
	Jiang, Tingting 3,4; Tan, Yalan 3,4; Nan, Shuaimin 3,4; Wang, Fang 3,4; Chen, Wujie 3,4; Wei, Yuguo 2; Liu, Tongxin 1,3; Qin, Weifeng 1,3; Lu, Fangxiao 3,4; Jiang, Feng 1,3
刊名	FRONTIERS IN ONCOLOGY
	2022-08-09
卷号	12
关键词	nasopharyngeal carcinoma distant metastasis radiomics prediction model magnetic resonance imaging
ISSN号	2234-943X
DOI	10.3389/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
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000843819200001
资助机构	Medical and Health Research Project of Zhejiang Province ; Natural Science Foundation of Zhejiang Province
内容类型	期刊论文
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 GB/T 7714	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).