CASIA OpenIR
MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively
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; Wu, Sufang2; Wang, Han1
Source PublicationJOURNAL OF MAGNETIC RESONANCE IMAGING
ISSN1053-1807
2019-05-01
Volume49Issue:5Pages:1420-1426
Corresponding AuthorTian, Jie(jie.tian@ia.ac.cn) ; Wu, Sufang(wsf_sfph@sjtu.edu.cn) ; Wang, Han(han.wang@shsmu.edu.cn)
AbstractBackground 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.
Keywordradiomics nomogram cervical cancer lymph-vascular space invasion MRI prediction model
DOI10.1002/jmri.26531
WOS KeywordNEOADJUVANT CHEMOTHERAPY ; RADICAL HYSTERECTOMY ; POTENTIAL BIOMARKER ; NODE METASTASIS ; STAGE-I ; SURGERY ; SURVIVAL ; RECURRENCE ; SIGNATURE ; FEATURES
Indexed BySCI
Language英语
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000464390200021
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24927
Collection中国科学院自动化研究所
Corresponding AuthorTian, Jie; Wu, Sufang; Wang, Han
Affiliation1.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
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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