基于放射组学的胶质母细胞瘤浸润对比增强成像：大型公共队列中的扩散灌注相关性和生存分析
Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts.
摘要(中文译文)
多参数MRI的影像组学模型能够表征非强化瘤周区域内的肿瘤浸润，但与弥散和灌注相比仍显不足。本研究评估了体素级影像组学预测与这些生理学模态之间的一致性，并在两个外部队列中评价了浸润指标的预后价值。分析了UPenn-GBM和UCSF-PDGM数据集。体素级影像组学分类从标准MRI生成瘤周浸润概率图。比较了被分类为高浸润与低浸润的瘤周区域之间的各向异性分数（FA）、动态磁敏感对比衍生相对脑血容量（DSC-rCBV；UPenn）以及动脉自旋标记衍生相对脑血流量（ASL-CBF；UCSF）。影像组学指标包括浸润负荷（超过预设概率阈值的体素比例）和径向范围（从强化边缘起维持高浸润概率的归一化最大距离）被量化，并使用单变量Cox模型评估生存。在872名受试者中，与低浸润区域相比，高浸润区域显示FA显著较低（中位差值：UPenn -0.232；UCSF -0.226；均p < 0.001）且灌注较高（中位差值：UPenn DSC-rCBV +0.282；UCSF ASL-CBF +0.565；均p < 0.001）。0.50阈值下的浸润负荷具有预后价值（UPenn风险比（HR）2.758，95%置信区间（CI）1.189-6.396，p = 0.018；UCSF HR 21.277，95% CI 6.024-71.429，p < 0.001）。径向范围也与生存相关（UPenn HR 2.371，95% CI 1.215-4.625，p = 0.011；UCSF HR 4.405，95% CI 1.695-11.494，p = 0.002）。从标准MRI获得的体素级影像组学浸润图与弥散和灌注异常相一致，并具有预后价值。这些指标突出了结构影像组学在表征胶质母细胞瘤非强化浸润性扩散中的作用。
Abstract
Radiomic models from multiparametric MRI can characterize tumor infiltration within the non-enhancing peritumoral region but remain insufficiently compared with diffusion and perfusion. This study assessed concordance between voxelwise radiomic predictions and these physiological modalities and evaluated prognostic value of infiltration metrics in two external cohorts. UPenn-GBM and UCSF-PDGM datasets were analyzed. Voxelwise radiomic classification generated peritumoral infiltration-probability maps from standard MRI. Fractional anisotropy (FA), dynamic susceptibility contrast-derived relative cerebral blood volume (DSC-rCBV; UPenn), and arterial spin labeling-derived relative cerebral blood flow (ASL-CBF; UCSF) were compared between peritumoral regions classified as high- versus low-infiltration. Radiomic metrics included infiltration burden (voxel fraction exceeding predefined probability thresholds) and radial extent (normalized maximum distance from enhancing margin sustaining high infiltration probability) were quantified, and survival assessed using univariable Cox models. Across 872 subjects, high-infiltration regions showed significantly lower FA (median difference: UPenn -0.232; UCSF -0.226; both p < 0.001) and higher perfusion (median difference: UPenn DSC-rCBV + 0.282; UCSF ASL-CBF + 0.565; both p < 0.001) compared with low-infiltration regions. Infiltration burden at the 0.50 threshold demonstrated prognostic value (UPenn hazard ratio (HR) 2.758, 95% confidence interval (CI) 1.189-6.396, p = 0.018; UCSF HR 21.277, 95% CI 6.024-71.429, p < 0.001). Radial extent was also associated with survival (UPenn HR 2.371, 95% CI 1.215-4.625, p = 0.011; UCSF HR 4.405, 95% CI 1.695-11.494, p = 0.002). Voxelwise radiomic infiltration mapping from standard MRI aligns with diffusion and perfusion abnormalities and yields prognostic value. These metrics highlight the role of structural radiomics for characterizing non-enhancing infiltrative spread in glioblastoma.
如何引用
AMA
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, Samuel Kuttner, Marek Wodzinski, Roberto Romero-Oraá, et al. Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts.. European journal of radiology. 2026; doi:10.1016/j.ejrad.2026.112888.
APA
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, Samuel Kuttner, Marek Wodzinski, Roberto Romero-Oraá, et al (2026). Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts.. European journal of radiology. https://doi.org/10.1016/j.ejrad.2026.112888
GB/T 7714
Santiago Cepeda, Olga Esteban-Sinovas, Luigi Tommaso Luppino, Samuel Kuttner, Marek Wodzinski, Roberto Romero-Oraá, et al. Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts.[J]. European journal of radiology, 2026 doi:10.1016/j.ejrad.2026.112888.
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