Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma

doi:10.1016/j.radonc.2019.10.002

	Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma
	Wei, Wei1,2,3,8 ; Wang, Ke 4,5; Liu, Zhenyu3,7 ; Tian, Kaibing 4,5; Wang, Liang 4,5; Du, Jiang 6; Ma, Junpeng 4,5; Wang, Shuo3,8 ; Li, Longfei 3; Zhao, Rui 1,2; Cui, Luo 1,2; Wu, Zhen 4,5; Tian, Jie 2,3,7,8
发表期刊	RADIOTHERAPY AND ONCOLOGY
ISSN	0167-8140
	2019-12-01
卷号	141 页码:239-246
通讯作者	Wu, Zhen(wuzhen1966@aliyun.com) ; Tian, Jie(jie.tian@ia.ac.cn)
摘要	Background and purpose: We used radiomic analysis to establish a radiomic signature based on anatomical magnetic resonance imaging (MRI) sequences and explore its effectiveness as a novel prognostic biomarker for skull base chordoma (SBC). Materials and methods: In this retrospective study, radiomic analysis was performed using preoperative axial T-1 FLAIR, T-2-weighted, and enhanced T-1 FLAIR from a single hospital. The primary clinical endpoint was progression-free survival. A total of 1860 3-D radiomic features were extracted from manually segmented region of interest. Pearson correlation coefficient was used for feature dimensional reduction and a ridge regression-based Cox proportional hazards model was used to determine a radiomic signature. Afterwards, radiomic signature and nine other potential prognostic factors, including age, gender, histological subtype, dural invasion, blood supply, adjuvant radiotherapy, extent of resection, preoperative KPS, and postoperative KPS were analyzed to build a radiomic nomogram and a clinical model. Finally, we compared the nomogram with each prognostic factor/model by DeLong's test. Results: A total of 148 SBC patients were enrolled, including 64 with disease progression. The median follow-up time was 52 months (range 4-122 months). The Harrell's concordance index of the radiomic signature was 0.745 (95% CI, 0.709-0.781) for the validation cohort, and its discrimination accuracy in predicting progression risk at 5 years in the same cohort was 82.4% (95% CI, 72.6-89.7%). Conclusions: The radiomics is a low-cost, non-invasive method to predict SBC prognosis preoperatively. Radiomic signature is a potential prognostic biomarker that may allow the individualized evaluation of patients with SBC. (C) 2019 Elsevier B.V. All rights reserved.
关键词	Biomarkers Magnetic resonance imaging Prognosis Progression-free survival Radiomics Skull base chordoma
DOI	10.1016/j.radonc.2019.10.002
关键词[WOS]	RETROSPECTIVE ANALYSIS ; SURVIVAL PATTERNS ; PREDICTION ; MODEL ; CLASSIFICATION ; VALIDATION ; MANAGEMENT ; DIAGNOSIS ; NETWORKS ; ONCOLOGY
收录类别	SCI
语种	英语
资助项目	Special Found for The Talents of Beijing[2016000021469G212] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Chinese Academy of Sciences[GJJSTD20170004] ; Youth Innovation Promotion Association CAS[2019136] ; Beijing Natural Science Foundation[7182109] ; National Key Research and Development Plan of China[2016YFA0100902] ; National Key Research and Development Plan of China[2016YFA0100900] ; National Key Research and Development Plan of China[2017YFA0205200] ; National Natural Science Foundation of China[81802683] ; National Natural Science Foundation of China[81672506] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81772012] ; National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of China[81772012] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81672506] ; National Natural Science Foundation of China[81802683] ; National Key Research and Development Plan of China[2017YFA0205200] ; National Key Research and Development Plan of China[2016YFA0100900] ; National Key Research and Development Plan of China[2016YFA0100902] ; Beijing Natural Science Foundation[7182109] ; Youth Innovation Promotion Association CAS[2019136] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Special Found for The Talents of Beijing[2016000021469G212]
项目资助者	National Natural Science Foundation of China ; National Key Research and Development Plan of China ; Beijing Natural Science Foundation ; Youth Innovation Promotion Association CAS ; Chinese Academy of Sciences ; Special Found for The Talents of Beijing
WOS研究方向	Oncology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Oncology ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000500572800035
出版者	ELSEVIER IRELAND LTD
七大方向——子方向分类	医学影像处理与分析
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/29370
专题	中国科学院分子影像重点实验室
通讯作者	Wu, Zhen; Tian, Jie
作者单位	1.Xian Polytech Univ, Sch Elect & Informat, Xian, Shaanxi, Peoples R China 2.Xidian Univ, Sch Life Sci & Technol, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian, Shaanxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China 4.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, 119 West Rd South Fourth Ring, Beijing 100050, Peoples R China 5.China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China 6.Beijing Neurosurg Inst, Dept Neuropathol, Beijing, Peoples R China 7.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 8.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wei, Wei,Wang, Ke,Liu, Zhenyu,et al. Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma[J]. RADIOTHERAPY AND ONCOLOGY,2019,141:239-246.
APA	Wei, Wei.,Wang, Ke.,Liu, Zhenyu.,Tian, Kaibing.,Wang, Liang.,...&Tian, Jie.(2019).Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma.RADIOTHERAPY AND ONCOLOGY,141,239-246.
MLA	Wei, Wei,et al."Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma".RADIOTHERAPY AND ONCOLOGY 141(2019):239-246.