1022MO Predicting overall survival of patients with melanoma and NSCLC treated with immunotherapy using AI combining total tumor volume and tumor heterogeneity on CT-Scans - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

1022MO Predicting overall survival of patients with melanoma and NSCLC treated with immunotherapy using AI combining total tumor volume and tumor heterogeneity on CT-Scans

Résumé

Using total tumor volume and AI tumor heterogeneity from CT scans, it may be possible to predict the prognosis of oncology patients, identify those who could benefit from immunotherapy, and provide valuable guidance for treatment.

Dates et versions

hal-04396366 , version 1 (15-01-2024)

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Lama Dawi, Samy Ammari, Younes Belkouchi, Joya Hadchiti, L. Lawrance, et al.. 1022MO Predicting overall survival of patients with melanoma and NSCLC treated with immunotherapy using AI combining total tumor volume and tumor heterogeneity on CT-Scans. ESMO 2023 - Congress of European Society for Medical Oncology, European Society for Medical Oncology, Oct 2023, Madrid, Spain. pp.S622, ⟨10.1016/j.annonc.2023.09.2161⟩. ⟨hal-04396366⟩
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