Article Dans Une Revue Cancers Année : 2021

Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer Patients

Valentin Tissot
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Résumé

In patients with prostate cancer, lymph node involvement is a risk factor of relapse. Current guidelines recommend extended lymph node dissection to better stage the disease. However, such a surgical procedure is associated with a higher morbidity than limited lymph node dissection. A better selection of patients is thus essential. Radiomics features are quantitative features automatically extracted from medical imaging. Combining clinical and radiomics features, a machine learning-based model seemed to provide added predictive performance compared to state of the art models regarding the risk prediction of lymph-node involvement in prostate cancer patients.

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hal-05067690 , version 1 (14-05-2025)

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Vincent Bourbonne, Vincent Jaouen, Truong An Nguyen, Valentin Tissot, Laurent Doucet, et al.. Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer Patients. Cancers, 2021, 13, pp.5672. ⟨10.3390/cancers13225672⟩. ⟨hal-05067690⟩
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