CASIA OpenIR
Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma
Wei, Wei1,2,3,8; Wang, Ke4,5; Liu, Zhenyu3,7; Tian, Kaibing4,5; Wang, Liang4,5; Du, Jiang6; Ma, Junpeng4,5; Wang, Shuo3,8; Li, Longfei3; Zhao, Rui1,2; Cui, Luo1,2; Wu, Zhen4,5; Tian, Jie2,3,7,8
Source PublicationRADIOTHERAPY AND ONCOLOGY
ISSN0167-8140
2019-12-01
Volume141Pages:239-246
Corresponding AuthorWu, Zhen(wuzhen1966@aliyun.com) ; Tian, Jie(jie.tian@ia.ac.cn)
AbstractBackground 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.
KeywordBiomarkers Magnetic resonance imaging Prognosis Progression-free survival Radiomics Skull base chordoma
DOI10.1016/j.radonc.2019.10.002
WOS KeywordRETROSPECTIVE ANALYSIS ; SURVIVAL PATTERNS ; PREDICTION ; MODEL ; CLASSIFICATION ; VALIDATION ; MANAGEMENT ; DIAGNOSIS ; NETWORKS ; ONCOLOGY
Indexed BySCI
Language英语
Funding ProjectNational 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] ; 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]
Funding OrganizationNational 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 Research AreaOncology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectOncology ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000500572800035
PublisherELSEVIER IRELAND LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/29370
Collection中国科学院自动化研究所
Corresponding AuthorWu, Zhen; Tian, Jie
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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