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Radiomic Nomogram: Pretreatment Evaluation of Local Recurrence in Nasopharyngeal Carcinoma based on MR Imaging

文献类型：期刊论文

作者Zhang, Lu1; Zhou, Hongyu2; Gu, Dongsheng2; Tian, Jie2; Zhang, Bin3,4; Dong, Di2; Mo, Xiaokai1; Liu, Jing5; Luo, Xiaoning1; Pei, Shufang1
刊名JOURNAL OF CANCER
出版日期2019
卷号10期号:18页码:4217-4225
关键词Magnetic Resonance Imaging Nasopharyngeal Carcinoma Local Recurrence Radiomic Feature Nomogram
ISSN号1837-9664
DOI10.7150/jca.33345
通讯作者Lian, Zhouyang() ; Zhang, Shuixing(zsx7515@jnu.edu.cn)
英文摘要Background: To develop and validate a radiomic nomogram incorporating radiomic features with clinical variables for individual local recurrence risk assessment in nasopharyngeal carcinoma (NPC) patients before initial treatment. Methods: One hundred and forty patients were randomly divided into a training cohort (n = 80) and a validation cohort (n = 60). A total of 970 radiomic features were extracted from pretreatment magnetic resonance (MR) images of NPC patients from May 2007 to December 2013. Univariate and multivariate analyses were used for selecting radiomic features associated with local recurrence, and multivariate analyses was used for building radiomic nomogram. Results: Eight contrast-enhanced T1-weighted (CET1-w) image features and seven T2-weighted (T2-w) image features were selected to build a Cox proportional hazard model in the training cohort, respectively. The radiomic nomogram, which combined radiomic features and multiple clinical variables, had a good evaluation ability (C-index: 0.74 [95% CI: 0.58, 0.85]) in the validation cohort. The radiomic nomogram successfully categorized those patients into low- and high-risk groups with significant differences in the rate of local recurrence-free survival (P <0.05). Conclusions: This study demonstrates that MR imaging-based radiomics can be used as an aid tool for the evaluation of local recurrence, in order to develop tailored treatment targeting specific characteristics of individual patients.
WOS关键词LYMPH-NODE METASTASIS ; INTENSITY-MODULATED RADIOTHERAPY ; POSITRON-EMISSION-TOMOGRAPHY ; DISTANT METASTASIS ; PREOPERATIVE PREDICTION ; INTRATUMOR HETEROGENEITY ; TUMOR HETEROGENEITY ; COMPUTED-TOMOGRAPHY ; PROGNOSTIC MODEL ; TEXTURE ANALYSIS
资助项目National Natural Science Foundation of China[81571664] ; National Natural Science Foundation of China[81871323] ; National Natural Science Foundation of China[81801665] ; National Natural Science Foundation of Guangdong Province[2018B030311024] ; Scientific Research General Project of Guangzhou Science Technology and Innovation Commission[201707010328] ; China Postdoctoral Science Foundation[2016M600145]
WOS研究方向Oncology
语种英语
WOS记录号WOS:000477730000007
出版者IVYSPRING INT PUBL
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of Guangdong Province ; Scientific Research General Project of Guangzhou Science Technology and Innovation Commission ; China Postdoctoral Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/27826]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Lian, Zhouyang; Zhang, Shuixing
作者单位1.Guangdong Acad Med Sci, Dept Radiol, Guangdong Prov Peoples Hosp, 106 Zhongshan Er Rd, Guangzhou 510080, Guangdong, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
3.Jinan Univ, Med Imaging Ctr, Affiliated Hosp 1, Guangzhou, Guangdong, Peoples R China
4.Jinan Univ, Inst Mol & Funct Imaging, Guangzhou, Guangdong, Peoples R China
5.Guizhou Med Univ, Dept Radiol Guiyang, Affiliated Hosp, Guiyang, Guizhou, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Lu,Zhou, Hongyu,Gu, Dongsheng,et al. Radiomic Nomogram: Pretreatment Evaluation of Local Recurrence in Nasopharyngeal Carcinoma based on MR Imaging[J]. JOURNAL OF CANCER,2019,10(18):4217-4225.
APA Zhang, Lu.,Zhou, Hongyu.,Gu, Dongsheng.,Tian, Jie.,Zhang, Bin.,...&Zhang, Shuixing.(2019).Radiomic Nomogram: Pretreatment Evaluation of Local Recurrence in Nasopharyngeal Carcinoma based on MR Imaging.JOURNAL OF CANCER,10(18),4217-4225.
MLA Zhang, Lu,et al."Radiomic Nomogram: Pretreatment Evaluation of Local Recurrence in Nasopharyngeal Carcinoma based on MR Imaging".JOURNAL OF CANCER 10.18(2019):4217-4225.

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来源：自动化研究所

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