MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively
文献类型：期刊论文
| 作者 | Li, Zhicong1; Li, Hailin3,4; Wang, Shiyu2; Dong, Di3,4 ; Yin, Fangfang1; Chen, An1; Wang, Siwen3,4; Zhao, Guangming1; Fang, Mengjie3,4; Tian, Jie3,4
|
| 刊名 | JOURNAL OF MAGNETIC RESONANCE IMAGING
 |
| 出版日期 | 2019-05-01 |
| 卷号 | 49期号:5页码:1420-1426 |
| 关键词 | radiomics nomogram cervical cancer lymph-vascular space invasion MRI prediction model |
| ISSN号 | 1053-1807 |
| DOI | 10.1002/jmri.26531 |
| 通讯作者 | Tian, Jie(jie.tian@ia.ac.cn) ; Wu, Sufang(wsf_sfph@sjtu.edu.cn) ; Wang, Han(han.wang@shsmu.edu.cn) |
| 英文摘要 | Background Lymph-vascular space invasion (LVSI) is an unfavorable prognostic factor in cervical cancer. Unfortunately, there are no current clinical tools for the preoperative prediction of LVSI. Purpose To develop and validate an axial T-1 contrast-enhanced (CE) MR-based radiomics nomogram that incorporated a radiomics signature and some clinical parameters for predicting LVSI of cervical cancer preoperatively. Study Type Retrospective. Population In all, 105 patients were randomly divided into two cohorts at a 2:1 ratio. Field Strength/Sequence T-1 CE MRI sequences at 1.5T. Assessment Univariate analysis was performed on the radiomics features and clinical parameters. Multivariate analysis was performed to determine the optimal feature subset. The receiver operating characteristic (ROC) analysis was performed to evaluate the performance of prediction model and radiomics nomogram. Statistical Tests The Mann-Whitney U-test and the chi-square test were used to evaluate the performance of clinical characteristics and LVSI status by pathology. The minimum-redundancy/maximum-relevance and recursive feature elimination methods were applied to select the features. The radiomics model was constructed using logistic regression. Results Three radiomics features and one clinical characteristic were selected. The radiomics nomogram showed favorable discrimination between LVSI and non-LVSI groups. The AUC was 0.754 (95% confidence interval [CI], 0.6326-0.8745) in the training cohort and 0.727 (95% CI, 0.5449-0.9097) in the validation cohort. The specificity and sensitivity were 0.756 and 0.828 in the training cohort and 0.773 and 0.692 in the validation cohort. Data Conclusion T-1 CE MR-based radiomics nomogram serves as a noninvasive biomarker in the prediction of LVSI in patients with cervical cancer preoperatively. |
| WOS关键词 | NEOADJUVANT CHEMOTHERAPY ; RADICAL HYSTERECTOMY ; POTENTIAL BIOMARKER ; NODE METASTASIS ; STAGE-I ; SURGERY ; SURVIVAL ; RECURRENCE ; SIGNATURE ; FEATURES |
| WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| WOS记录号 | WOS:000464390200021 |
| 出版者 | WILEY |
| 源URL | [http://ir.ia.ac.cn/handle/173211/24926]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 通讯作者 | Tian, Jie; Wu, Sufang; Wang, Han |
| 作者单位 | 1.Shanghai Jiao Tong Univ, Sch Med, Shanghai Gen Hosp, Dept Radiol, Haining Rd 100, Shanghai, Peoples R China 2.Shanghai Jiao Tong Univ, Sch Med, Shanghai Gen Hosp, Dept Obstet & Gynecol, Haining Rd 100, Shanghai, Peoples R China 3.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Zhicong,Li, Hailin,Wang, Shiyu,et al. MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively[J]. JOURNAL OF MAGNETIC RESONANCE IMAGING,2019,49(5):1420-1426. |
| APA | Li, Zhicong.,Li, Hailin.,Wang, Shiyu.,Dong, Di.,Yin, Fangfang.,...&Wang, Han.(2019).MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively.JOURNAL OF MAGNETIC RESONANCE IMAGING,49(5),1420-1426. |
| MLA | Li, Zhicong,et al."MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively".JOURNAL OF MAGNETIC RESONANCE IMAGING 49.5(2019):1420-1426. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。