CASIA OpenIR
Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer
Zhou, Hai-Feng1; Han, Yu-Qi2,3; Lu, Jian1; Wei, Jing-Wei3,4; Guo, Jin-He1; Zhu, Hai-Dong1; Huang, Ming5; Ji, Jian-Song6; Lv, Wei-Fu7; Chen, Li1; Zhu, Guang-Yu1; Jin, Zhi-Cheng1; Tian, Jie3,4,8,9; Teng, Gao-Jun1
Source PublicationFRONTIERS IN ONCOLOGY
ISSN2234-943X
2019-09-27
Volume9Pages:11
Corresponding AuthorTian, Jie(tian@ieee.org) ; Teng, Gao-Jun(gjteng@vip.sina.com)
AbstractPurpose: To develop a model to select appropriate candidates for irradiation stent placement among patients with unresectable pancreatic cancer with malignant biliary obstruction (UPC-MBO). Methods: This retrospective study included 106 patients treated with an irradiation stent for UPC-MBO. These patients were randomly divided into a training group (74 patients) and a validation group (32 patients). A clinical model for predicting restenosis-free survival (RFS) was developed with clinical predictors selected by univariate and multivariate analyses. After integrating the radiomics signature, a combined model was constructed to predict RFS. The predictive performance was evaluated with the concordance index (C-index) in both the training and validation groups. The median risk score of progression in the training group was used to divide patients into high- and low-risk subgroups. Results: Radiomics features were integrated with clinical predictors to develop a combined model. The predictive performance was better in the combined model (C-index, 0.791 and 0.779 in the training and validation groups, respectively) than in the clinical model (C-index, 0.673 and 0.667 in the training and validation groups, respectively). According to the median risk score of 1.264, the RFS was significantly different between the high- and low-risk groups (p < 0.001 for the training group, and p = 0.016 for the validation group). Conclusions: The radiomics-based model had good performance for RFS prediction in patients with UPC-MBO who received an irradiation stent. Patients with slow progression should consider undergoing irradiation stent placement for a longer RFS.
Keywordradiomics pancreatic cancer malignant biliary obstruction irradiation stent survival
DOI10.3389/fonc.2019.00973
WOS KeywordMALIGNANT BILIARY OBSTRUCTION ; DUCTAL ADENOCARCINOMA ; I-125 SEEDS ; CONSENSUS STATEMENT ; IMAGING BIOMARKERS ; TUMOR BURDEN ; PREDICTS ; CA125 ; MULTICENTER ; SURVIVAL
Indexed BySCI
Language英语
Funding ProjectNational Key Scientific Instrument and Equipment Development Projects of China[81827805] ; Innovation Platform of Jiangsu Provincial Medical Center[YXZXA2016005] ; National Natural Science Foundation of China[81520108015] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81771924] ; National Key Research and Development Program of China[2017YFC1308700] ; National Key Research and Development Program of China[2017YFC1309100] ; National Key Research and Development Program of China[2017YFA0205200] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005]
Funding OrganizationNational Key Scientific Instrument and Equipment Development Projects of China ; Innovation Platform of Jiangsu Provincial Medical Center ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Chinese Academy of Sciences
WOS Research AreaOncology
WOS SubjectOncology
WOS IDWOS:000488003500001
PublisherFRONTIERS MEDIA SA
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26977
Collection中国科学院自动化研究所
Corresponding AuthorTian, Jie; Teng, Gao-Jun
Affiliation1.Southeast Univ, Ctr Intervent Radiol & Vasc Surg, Dept Radiol, Zhongda Hosp,Med Sch, Nanjing, Jiangsu, Peoples R China
2.Xidian Univ, Sch Life Sci & Technol, Xian, Shaanxi, Peoples R China
3.Chinese Acad Sci, Key Lab Mol Imaging, Inst Automat, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Kunming Med Univ, Affiliated Hosp 3, Yunnan Tumor Hosp, Dept Minimally Invas Intervent Radiol, Kunming, Yunnan, Peoples R China
6.Wenzhou Med Univ, Lishui Cent Hosp, Dept Radiol, Lishui, Peoples R China
7.Univ Sci & Technol China, Affiliated Hosp 1, Anhui Prov Hosp, Dept Intervent Radiol, Hefei, Anhui, Peoples R China
8.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China
9.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Hai-Feng,Han, Yu-Qi,Lu, Jian,et al. Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer[J]. FRONTIERS IN ONCOLOGY,2019,9:11.
APA Zhou, Hai-Feng.,Han, Yu-Qi.,Lu, Jian.,Wei, Jing-Wei.,Guo, Jin-He.,...&Teng, Gao-Jun.(2019).Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer.FRONTIERS IN ONCOLOGY,9,11.
MLA Zhou, Hai-Feng,et al."Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer".FRONTIERS IN ONCOLOGY 9(2019):11.
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