Dataset Information

Prognostic value of lymphovascular space invasion in patients with early stage cervical cancer in Jilin, China: A retrospective study.

ABSTRACT: The metastasis of cervical carcinoma is associated with the lymphovascular spread. The primary objective of the present study was to determine the prognostic value of lymphovascular space invasion (LVSI) in patients with early-stage cervical cancer in Jilin, China.In this retrospective cohort study, patients with early-stage cervical cancer (stage IB-IIA) at the Second Hospital of Jilin University from February 2014 to December 2016 were included in the analysis. All included participants underwent radical hysterectomy with pelvic lymphadenectomy. LVSI was identified by hematoxylin and eosin (H&E) staining. The primary outcomes are overall survival (OS) and progression-free survival (PFS). Kaplan-Meier curves were used to calculate the patient's survival. Survival was compared using the log-rank test, while risk factors for the prognosis were assessed by Cox regression analysis.The incidence of LVSI was positively associated with the depth of stromal invasion (P?=?.009) and lymph node metastasis (LNM, P?

SUBMITTER: Yan W

PROVIDER: S-EPMC6783197 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Prognostic value of lymphovascular space invasion in patients with early stage cervical cancer in Jilin, China: A retrospective study.

Yan Wenxing W Qiu Shuang S Ding Yaming Y Zhang Qi Q Si Lihui L Lv Sha S Liu Linlin L

Medicine 20191001 40

The metastasis of cervical carcinoma is associated with the lymphovascular spread. The primary objective of the present study was to determine the prognostic value of lymphovascular space invasion (LVSI) in patients with early-stage cervical cancer in Jilin, China.In this retrospective cohort study, patients with early-stage cervical cancer (stage IB-IIA) at the Second Hospital of Jilin University from February 2014 to December 2016 were included in the analysis. All included participants underw ...[more]

PMID: 31577720

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Project description:BackgroundDetection of lymphovascular space invasion (LVSI) in early cervical cancer (CC) is challenging. To date, no standard clinical markers or screening tests have been used to detect LVSI preoperatively. Therefore, non-invasive risk stratification tools are highly desirable.ObjectiveTo train and validate a multi-parametric magnetic resonance imaging (mpMRI)-based radiomics model to detect LVSI in patients with CC and investigate its potential as a complementary tool to enhance the efficiency of risk assessment strategies.Materials and methodsThe model was developed from the tumor volume of interest (VOI) of 125 patients with CC. A total of 1037 radiomics features obtained from conventional magnetic resonance imaging (MRI), including a small field-of-view (sFOV) high-resolution (HR)-T2-weighted MRI (T2WI), apparent diffusion coefficient (ADC), T2WI, fat-suppressed (FS)-T2WI, as well as axial and sagittal contrast-enhanced T1-weighted MRI (T1c). We conducted a radiomics-based characterization of each tumor region using pretreatment image data. Feature selection was performed using the least absolute shrinkage and selection operator method on the training set. The predictive performance was compared with single variates (clinical data and single-layer radiomics signatures) analyzed using a receiver operating characteristic (ROC) curve. Three-fold cross-validation performed 20 times was used to evaluate the accuracy of the trained classifiers and the stability of the selected features. The models were validated by using a validation set.ResultsFeature selection extracted the six most important features (3 from sFOV HR-T2WI, 1 T2WI, 1 FS-T2WI, and 1 T1c) for model construction. The mpMRI-combined radiomics model (area under the curve [AUC]: 0.940) reached a significantly higher performance (better than the clinical parameters [AUC: 0.730]), including any single-layer model using sFOV HR-T2WI (AUC: 0.840), T2WI (AUC: 0.770), FS-T2WI (AUC: 0.710), ADC maps (AUC: 0.650), sagittal, and axial T1c values (AUC: 0.710, 0.680) in the validation set.ConclusionBiomarkers using multi-parametric radiomics features derived from preoperative MR images could predict LVSI in patients with CC.

Dataset Information

Prognostic value of lymphovascular space invasion in patients with early stage cervical cancer in Jilin, China: A retrospective study.

Publications

Prognostic value of lymphovascular space invasion in patients with early stage cervical cancer in Jilin, China: A retrospective study.

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