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• Clinical Article •
Radiomics analysis of multi-sequence MRI evaluate lymphovascular space invasion in endometrial carcinoma
SUN Yalin  CHEN Jingya  LAN Qi  XIA Fan  WANG Yuying  CAO Yingying  REN Shuai  PAN Zhaochun  WANG Zhongqiu 

DOI:10.12015/issn.1674-8034.2025.12.019.


[Abstract] Objective To investigate the value of intratumoral and peritumoral radiomics features based on MRI images for preoperative noninvasively predicting lymphovascular space invasion (LVSI) status in endometrial carcinoma (EC) patients.Materials and Methods Clinical and routine imaging features of 222 patients with histopathologically proved EC were retrospectively analyzed. Radiomics features from both intra- and peritumoral regions in T2-weighted imaging (T2WI), the contrast-enhanced T1-weighted images (CE-T1WI) at delayed phase and apparent diffusion coefficient (ADC) were extracted. The independent risk factors were identified through univariate and multivariate logistic analysis to construct predictive models (clinical, radiomics and combined). Receiver operating characteristic (ROC) curve was used to analyze the prediction efficiency of these models. Decision curve analysis (DCA) and calibration curves were utilized to assess the clinical utility and calibration performance of the models, respectively.Results The radiomics model established based on peritumoral 3 mm in T2WI sequences showed best performance, and the AUC of the training group and validation group were 0.902 and 0.803, respectively. The combined model based on tumor maximum diameter, the value of ADC and radiomics features had the optimal performance and achieved AUC values of 0.903 and 0.801 in the training and validation cohorts respectively. The calibration curve results indicated that the combined model had good calibration, and the net benefit of the model was the highest in the decision curve analysis.Conclusions The intratumoral and peritumoral radiomics models of EC based on MRI images have good clinical performance and can be applied to predict LVSI characteristics of EC noninvasively.
[Keywords] endometrial carcinoma；lymphovascular space invasion；peritumor；radiomics；magnetic resonance imaging

SUN Yalin1   CHEN Jingya1   LAN Qi1   XIA Fan1   WANG Yuying1   CAO Yingying1   REN Shuai1   PAN Zhaochun2*   WANG Zhongqiu1*  

1 Department of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China

2 Department of Outpatient, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China

Corresponding author: PAN Z C, E-mail: zhouping@126.com WANG Z Q, E-mail: zhongqiuwang@njucm.edu.cn

Conflicts of interest   None.

Received  2025-08-05
Accepted  2025-10-10
DOI: 10.12015/issn.1674-8034.2025.12.019
DOI:10.12015/issn.1674-8034.2025.12.019.

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