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MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively.
Li, Zhicong; Li, Hailin; Wang, Shiyu; Dong, Di; Yin, Fangfang; Chen, An; Wang, Siwen; Zhao, Guangming; Fang, Mengjie; Tian, Jie; Wu, Sufang; Wang, Han.
Afiliação
  • Li Z; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
  • Li H; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China.
  • Wang S; University of Chinese Academy of Sciences, Beijing, P.R. China.
  • Dong D; Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
  • Yin F; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China.
  • Chen A; University of Chinese Academy of Sciences, Beijing, P.R. China.
  • Wang S; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
  • Zhao G; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
  • Fang M; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China.
  • Tian J; University of Chinese Academy of Sciences, Beijing, P.R. China.
  • Wu S; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
  • Wang H; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China.
J Magn Reson Imaging ; 49(5): 1420-1426, 2019 05.
Article em En | MEDLINE | ID: mdl-30362652
ABSTRACT

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 T1 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 21 ratio. FIELD STRENGTH/SEQUENCE T1 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:

T1 CE MR-based radiomics nomogram serves as a noninvasive biomarker in the prediction of LVSI in patients with cervical cancer preoperatively. LEVEL OF EVIDENCE 4 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2019;491420-1426.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Neoplasias do Colo do Útero / Nomogramas / Metástase Linfática Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Neoplasias do Colo do Útero / Nomogramas / Metástase Linfática Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Middle aged Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article