Prediction of lymphovascular invasion in rectal cancer based on multimodal magnetic resonance imaging radiomics model

Machine learning models based on multimodal MRI radiomics features can effectively predict LVI status in rectal cancer, with the combined model showing optimal performance, providing a valuable quantitative tool for preoperative clinical assessment and individualized treatment decision-making.