影像基因组学模型预测胶质母细胞瘤免疫特征

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-11 09:38

研究人员开发了能够无创预测胶质母细胞瘤特定免疫细胞特征的影像基因组学模型。这些模型利用从MRI扫描中提取的影像组学特征和转录组学数据来识别M0巨噬细胞亚型的免疫特征。该研究涉及来自多个数据集的176名患者，证明了其稳定的性能以及在未来临床试验中对免疫疗法进行患者分层的潜力。 AI

影响这项研究提供了一种无创预测患者免疫特征的方法，有望改善胶质母细胞瘤的免疫疗法分层。

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arXiv cs.LG TIER_1 English(EN) · Thomas Booth · 2026-05-11 09:38

预测性影像组学评估胶质母细胞瘤的癌症免疫特征：PRECISE-GBM研究

Background: Radiogenomics allows identification of radiological biomarkers for genomic phenotypes. In glioblastoma, these biomarkers could potentially complement patient stratification strategies. We aim to develop and analytically validate radiological biomarkers that capture im…