Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
| Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation | |
Mo, Xiaokai1,2; Wu, Xiangjun3,4; Dong, Di3,4 ; Guo, Baoliang1; Liang, Changhong1; Luo, Xiaoning1,5; Zhang, Bin6; Zhang, Lu1; Dong, Yuhao1,2; Lian, Zhouyang1; Liu, Jing1; Pei, Shufang1; Huang, Wenhui1; Ouyang, Fusheng1; Tian, Jie3,4,7; Zhang, Shuixing6
| |
| Source Publication | EUROPEAN RADIOLOGY
 |
| ISSN | 0938-7994 |
| 2020-02-01 | |
| Volume | 30Issue:2Pages:833-843 |
| Corresponding Author | Tian, Jie(jie.tian@ia.ac.cn) ; Zhang, Shuixing(shui7515@126.com) |
| Abstract | Purpose To develop a radiomics-based model to stratify the risk of early progression (local/regional recurrence or metastasis) among patients with hypopharyngeal cancer undergoing chemoradiotherapy and modify their pretreatment plans. Materials and methods We randomly assigned 113 patients into two cohorts: training (n = 80) and validation (n = 33). The radiomic significant features were selected in the training cohort using least absolute shrinkage and selection operator and Akaike information criterion methods, and they were used to build the radiomic model. The concordance index (C-index) was applied to evaluate the model's prognostic performance. A Kaplan-Meier analysis and the log-rank test were used to assess risk stratification ability of models in predicting progression. A nomogram was plotted to predict individual risk of progression. Results Composed of four significant features, the radiomic model showed good performance in stratifying patients into high- and low-risk groups of progression in both the training and validation cohorts (log-rank test, p = 0.00016, p = 0.0063, respectively). Peripheral invasion and metastasis were selected as significant clinical variables. The combined radiomic-clinical model showed good discriminative performance, with C-indices 0.804 (95% confidence interval (CI), 0.688-0.920) and 0.756 (95% CI, 0.605-0.907) in the training and validation cohorts, respectively. The median progression-free survival (PFS) in the high-risk group was significantly shorter than that in the low-risk group in the training (median PFS, 9.5 m and 19.0 m, respectively; p [log-rank] < 0.0001) and validation (median PFS, 11.3 m and 22.5 m, respectively; p [log-rank] = 0.0063) cohorts. Conclusions A radiomics-based model was established to predict the risk of progression in hypopharyngeal cancer with chemoradiotherapy. |
| Keyword | Head and neck cancer Hypopharynx Chemoradiotherapy Recurrence Prognosis |
| DOI | 10.1007/s00330-019-06452-w |
| WOS Keyword | LOCALLY ADVANCED HEAD ; TEXTURAL FEATURES ; SALVAGE TREATMENT ; NECK-CANCER ; OROPHARYNGEAL ; CHEMOTHERAPY ; PET ; MANAGEMENT ; TRENDS ; IMAGES |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Radiology, Nuclear Medicine & Medical Imaging |
| WOS Subject | Radiology, Nuclear Medicine & Medical Imaging |
| WOS ID | WOS:000511977900017 |
| Publisher | SPRINGER |
| Sub direction classification | 医学影像处理与分析 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/28575 |
| Collection | 中国科学院分子影像重点实验室 |
| Corresponding Author | Tian, Jie; Zhang, Shuixing |
| Affiliation | 1.Guangdong Acad Med Sci, Guangdong Prov Peoples Hosp, Dept Radiol, Guangzhou, Guangdong, Peoples R China 2.Shantou Univ, Coll Med, Shantou, Guangdong, Peoples R China 3.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100190, Peoples R China 5.Guangdong Acad Med Sci, Dept Otolaryngol Head & Neck Surg, Guangdong Prov Peoples Hosp, Guangzhou, Guangdong, Peoples R China 6.Jinan Univ, Affiliated Hosp 1, Dept Radiol, 613 Huangpu West Rd, Guangzhou 510627, Guangdong, Peoples R China 7.Beihang Univ, Sch Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China |
| Corresponding Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Mo, Xiaokai,Wu, Xiangjun,Dong, Di,et al. Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation[J]. EUROPEAN RADIOLOGY,2020,30(2):833-843. |
| APA | Mo, Xiaokai.,Wu, Xiangjun.,Dong, Di.,Guo, Baoliang.,Liang, Changhong.,...&Zhang, Shuixing.(2020).Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation.EUROPEAN RADIOLOGY,30(2),833-843. |
| MLA | Mo, Xiaokai,et al."Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation".EUROPEAN RADIOLOGY 30.2(2020):833-843. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment