Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer

doi:10.7150/thno.37429

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer
	Fang, Jin 6; Zhang, Bin 6; Wang, Shuo 1,5; Jin, Yan 4; Wang, Fei 6; Ding, Yingying 4; Chen, Qiuying 6; Chen, Liting 6; Li, Yueyue 6; Li, Minmin 6
刊名	THERANOSTICS
	2020
卷号	10 期号:5 页码:2284-2292
关键词	cervical cancer magnetic resonance imaging radiomics disease-free survival
ISSN号	1838-7640
DOI	10.7150/thno.37429
通讯作者	Liu, Lizhi(liulizh@sysucc.org.com) ; Liu, Zhenyu(zhenyu.liu@ia.ac.cn) ; Tian, Jie(jie.tian@ia.ac.cn) ; Zhang, Shuixing(shui7515@126.com)
英文摘要	Pre-treatment survival prediction plays a key role in many diseases. We aimed to determine the prognostic value of pre-treatment Magnetic Resonance Imaging (MRI) based radiomic score for disease-free survival (DFS) in patients with early-stage (IB-IIA) cervical cancer. Methods: A total of 248 patients with early-stage cervical cancer underwent radical hysterectomy were included from two institutions between January 1, 2011 and December 31, 2017, whose MR imaging data, clinicopathological data and DFS data were collected. Patients data were randomly divided into the training cohort (n = 166) and the validation cohort (n=82). Radiomic features were extracted from the pre-treatment T2-weighted (T2w) and contrast-enhanced T1-weighted (CET1w) MR imagings for each patient. Least absolute shrinkage and selection operator ( LASSO) regression and Cox proportional hazard model were applied to construct radiomic score (Rad-score). According to the cutoff of Rad-score, patients were divided into low- and high- risk groups. Pearson's correlation and Kaplan-Meier analysis were used to evaluate the association of Rad-score with DFS. A combined model incorporating Rad-score, lymph node metastasis (LNM) and lymphovascular space invasion (LVI) by multivariate Cox proportional hazard model was constructed to estimate DFS individually. Results: Higher Rad-scores were significantly associated with worse DFS in the training and validation cohorts (P<0.001 and P=0.011, respectively). The Rad-score demonstrated better prognostic performance in estimating DFS (C-index, 0.753; 95% CI: 0.696-0.805) than the clinicopathological features (C-index, 0.632; 95% CI: 0.567-0.700). However, the combined model showed no significant improvement (C-index, 0.714; 95%CI: 0.642-0.784). Conclusion: The results demonstrated that MRI-derived Rad-score can be used as a prognostic biomarker for patients with early-stage (IB-IIA) cervical cancer, which can facilitate clinical decision-making..
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 China[81772012] ; National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of Guangdong Province[2018B030311024] ; Scientific Research General Project of Guangzhou Science Technology and Innovation Commission[20170701 0328] ; China Postdoctoral Science Foundation[2016M600145] ; Beijing Natural Science Foundation[7182109] ; National Key Research and Development Plan of China[2017YFA0205200] ; Youth Innovation Promotion Association CAS[2019136]
WOS关键词	PROGNOSTIC-FACTORS ; LONG-TERM ; FEATURES ; HETEROGENEITY ; INVOLVEMENT ; PERFORMANCE ; INVASION ; IMAGES ; PET/CT
WOS研究方向	Research & Experimental Medicine
语种	英语
出版者	IVYSPRING INT PUBL
WOS记录号	WOS:000508008300020
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 ; Beijing Natural Science Foundation ; National Key Research and Development Plan of China ; Youth Innovation Promotion Association CAS
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/29505]
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	Liu, Lizhi; Liu, Zhenyu; Tian, Jie; Zhang, Shuixing
作者单位	1.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing 100191, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100080, Peoples R China 3.Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Canc Ctr, Guangzhou 510060, Peoples R China 4.Kunming Med Univ, Yunnan Canc Hosp, Affiliated Hosp 3, Dept Radiol, Kunming 650031, Yunnan, Peoples R China 5.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 6.Jinan Univ, Affiliated Hosp 1, Med Imaging Ctr, Guangzhou 510630, Peoples R China
推荐引用方式 GB/T 7714	Fang, Jin,Zhang, Bin,Wang, Shuo,et al. Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer[J]. THERANOSTICS,2020,10(5):2284-2292.
APA	Fang, Jin.,Zhang, Bin.,Wang, Shuo.,Jin, Yan.,Wang, Fei.,...&Zhang, Shuixing.(2020).Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer.THERANOSTICS,10(5),2284-2292.
MLA	Fang, Jin,et al."Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer".THERANOSTICS 10.5(2020):2284-2292.