CASIA OpenIR
Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer
Fang, Jin1; Zhang, Bin1; Wang, Shuo2,3; Jin, Yan4; Wang, Fei1; Ding, Yingying4; Chen, Qiuying1; Chen, Liting1; Li, Yueyue1; Li, Minmin1; Chen, Zhuozhi1; Liu, Lizhi5; Liu, Zhenyu3,6; Tian, Jie2,3,6; Zhang, Shuixing1
Source PublicationTHERANOSTICS
ISSN1838-7640
2020
Volume10Issue:5Pages:2284-2292
Corresponding AuthorLiu, Lizhi(liulizh@sysucc.org.com) ; Liu, Zhenyu(zhenyu.liu@ia.ac.cn) ; Tian, Jie(jie.tian@ia.ac.cn) ; Zhang, Shuixing(shui7515@126.com)
AbstractPre-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..
Keywordcervical cancer magnetic resonance imaging radiomics disease-free survival
DOI10.7150/thno.37429
WOS KeywordPROGNOSTIC-FACTORS ; LONG-TERM ; FEATURES ; HETEROGENEITY ; INVOLVEMENT ; PERFORMANCE ; INVASION ; IMAGES ; PET/CT
Indexed BySCI
Language英语
Funding ProjectNational 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] ; 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]
Funding OrganizationNational 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
WOS Research AreaResearch & Experimental Medicine
WOS SubjectMedicine, Research & Experimental
WOS IDWOS:000508008300020
PublisherIVYSPRING INT PUBL
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/29506
Collection中国科学院自动化研究所
Corresponding AuthorLiu, Lizhi; Liu, Zhenyu; Tian, Jie; Zhang, Shuixing
Affiliation1.Jinan Univ, Affiliated Hosp 1, Med Imaging Ctr, Guangzhou 510630, Peoples R China
2.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing 100191, Peoples R China
3.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
4.Kunming Med Univ, Yunnan Canc Hosp, Affiliated Hosp 3, Dept Radiol, Kunming 650031, Yunnan, Peoples R China
5.Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Canc Ctr, Guangzhou 510060, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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