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Jun, 2022
带免疫细胞标记物的深度放射组学特征预测胶质瘤患者的生存率
Deep radiomic signature with immune cell markers predicts the survival of glioma patients
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Ahmad Chaddad, Paul Daniel Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers...
TL;DR
本研究提出了一种基于卷积神经网络的深度放射状特征(DRF),可以从MRI图像中捕捉与免疫治疗相关的肿瘤特征并预测治疗反应。将DRF与临床特征和免疫细胞标志物组合使用可以在患者病理分组中识别短期和长期生存结果。
Abstract
imaging biomarkers
offer a non-invasive way to predict the response of immunotherapy prior to treatment. In this work, we propose a novel type of
deep radiomic features
(DRFs) computed from a
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