Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics | |
Chen, Wujie1,2,3; Wang, Siwen4,5![]() ![]() ![]() | |
发表期刊 | FRONTIERS IN ONCOLOGY
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ISSN | 2234-943X |
2019-11-22 | |
卷号 | 9页码:1265 |
摘要 | Objective: To develop and evaluate a diffusion-weighted imaging (DWI)-based radiomic nomogram for lymph node metastasis (LNM) prediction in advanced gastric cancer (AGC) patients. Overall Study: This retrospective study was conducted with 146 consecutively included pathologically confirmed AGC patients from two centers. All patients underwent preoperative 3.0 T magnetic resonance imaging (MRI) examination. The dataset was allocated to a training cohort (n = 71) and an internal validation cohort (n = 47) from one center along with an external validation cohort (n = 28) from another. A summary of 1,305 radiomic features were extracted per patient. The least absolute shrinkage and selection operator (LASSO) logistic regression and learning vector quantization (LVQ) methods with cross-validations were adopted to select significant features in a radiomic signature. Combining the radiomic signature and independent clinical factors, a radiomic nomogram was established. The MRI-reported N staging and the MRI-derived model were built for comparison. Model performance was evaluated considering receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis (DCA). Results: A two-feature radiomic signature was found significantly associated with LNM (p < 0.01, training and internal validation cohorts). A radiomic nomogram was established by incorporating the clinical minimum apparent diffusion coefficient (ADC) and MRI-reported N staging. The radiomic nomogram showed a favorable classification ability with an area under ROC curve of 0.850 [95% confidence interval (CI), 0.758-0.942] in the training cohort, which was then confirmed with an AUC of 0.857 (95% CI, 0.714-1.000) in internal validation cohort and 0.878 (95% CI, 0.696-1.000) in external validation cohort. Meanwhile, the specificity, sensitivity, and accuracy were 0.846, 0.853, and 0.851 in internal validation cohort, and 0.714, 0.952, and 0.893 in external validation cohort, compensating for the MRI-reported N staging and MRI-derived model. DCA demonstrated good clinical use of radiomic nomogram. Conclusions: This study put forward a DWI-based radiomic nomogram incorporating the radiomic signature, minimum ADC, and MRI-reported N staging for individualized preoperative detection of LNM in patients with AGC. |
关键词 | lymph node metastasis magnetic resonance imaging diffusion-weighted imaging advanced gastric cancer radiomics |
DOI | 10.3389/fonc.2019.01265 |
关键词[WOS] | MRI ; GASTRECTOMY |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Oncology |
WOS类目 | Oncology |
WOS记录号 | WOS:000501254000001 |
出版者 | FRONTIERS MEDIA SA |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/29410 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Tian, Jie; Xu, Maosheng |
作者单位 | 1.Zhejiang Chinese Med Univ, Coll Clin Med 1, Hangzhou, Zhejiang, Peoples R China 2.Zhejiang Chinese Med Univ, Affiliated Hosp 1, Dept Radiol, Hangzhou, Zhejiang, Peoples R China 3.Zhejiang Chinese Med Univ, Affiliated Hosp 1, Dept Gastroenterol, Hangzhou, Zhejiang, Peoples R China 4.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 6.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China |
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 | Chen, Wujie,Wang, Siwen,Dong, Di,et al. Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics[J]. FRONTIERS IN ONCOLOGY,2019,9:1265. |
APA | Chen, Wujie.,Wang, Siwen.,Dong, Di.,Gao, Xuning.,Zhou, Kefeng.,...&Xu, Maosheng.(2019).Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics.FRONTIERS IN ONCOLOGY,9,1265. |
MLA | Chen, Wujie,et al."Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics".FRONTIERS IN ONCOLOGY 9(2019):1265. |
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