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Both intra- and peri-tumoral radiomics signatures can be used to predict lymphatic vascular space invasion and lymphatic metastasis positive status from endometrial cancer MR imaging

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Abstract

Objectives

To identify lymphatic vascular space invasion (LVSI) and lymphatic node metastasis (LNM) status of endometrial cancer (EC) patients, using radiomics based on MRI images.

Methods

Five hundred and ninety-eight EC patients between January 2015 and September 2020 from two institutions were retrospectively included. Tumoral regions on DWI, T1CE, and T2W images were manually outlined. Radiomics features were extracted from tumor region and peri-tumor region of different thicknesses. We established sub-models to select features from each smaller category. Using this method, we separately constructed radiomic signatures for intra-tumoral and peri-tumoral images using different sequences. We constructed intra-tumoral and peri-tumoral models by combining their features, and a multi-sequence model by combining logits. Models were trained with 397 patients and validated with 170 internal and 31 external patients.

Results

For LVSI positive/LNM positive status identification, the multi-parameter MRI radiomics model achieved the area under curve (AUC) values of 0.771 (95%CI: [0.692–0.849])/0.801 (95%CI: [0.704, 0.898]) and 0.864 (95%CI: [0.728–1.000])/0.976 (95%CI: [0.919, 1.000]) in internal and external test cohorts, respectively.

Conclusions

Intra-tumoral and peri-tumoral radiomics signatures based on mpMRI can both be used to identify LVSI or LNM status in EC patients non-invasively. Further studies on LVSI and LNM should pay attention to both of them.

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Funding

The Open Project of Shanghai Key Laboratory of Magnetic Resonance

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Authors and Affiliations

  1. Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, People’s Republic of China

    Shengyong Li, Yida Wang, Yiyang Sun, Dexuan Li, Qi Zhang & Guang Yang

  2. Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, No.419 Fangxie Road, Shanghai, People’s Republic of China

    He Zhang

  3. Department of Pathology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People’s Republic of China

    Yan Ning

  4. Department of Radiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China

    Yuanyuan Lu & Wen**g Wang

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  1. Shengyong Li
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  4. Dexuan Li
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Correspondence to He Zhang or Guang Yang.

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Li, S., Wang, Y., Sun, Y. et al. Both intra- and peri-tumoral radiomics signatures can be used to predict lymphatic vascular space invasion and lymphatic metastasis positive status from endometrial cancer MR imaging. Abdom Radiol (2024). https://doi.org/10.1007/s00261-024-04432-3

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  • DOI: https://doi.org/10.1007/s00261-024-04432-3

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