文章：

基于Delta MRI的放射组学在小鼠胶质母细胞瘤模型中监测早期瘤周变化：初步研究

Using Delta MRI-Based Radiomics for Monitoring Early Peri-Tumoral Changes in a Mouse Model of Glioblastoma: Primary Study

原文发布日期：1 November 2025

DOI: 10.3390/cancers17213545

类型: Article

开放获取: 是

英文摘要：

Background/Objectives:Glioblastoma (GBM) is an aggressive primary brain tumor marked by diffuse infiltration into surrounding brain tissue. The peritumoral zone often appears normal on imaging yet harbors microscopic invasion. While perfusion-based studies, such as arterial spin labeling (ASL), have profiled this region, longitudinal radiomic monitoring remains limited. This study investigates delta radiomics using multiparametric MRI (mpMRI) in a GBM mouse model to track subtle peritumoral changes over time.Methods:A G7 GBM xenograft model was established in nine nude mice, imaged at 9- and 12 weeks post-implantation using MRI (T1W, T2W, T2 mapping, DWI-ADC, FA, and ASL) and co-registered histopathology (H&E, HLA staining). Tumor and peritumoral regions were manually segmented, and 107 radiomic features (shape, first-order, texture) were extracted per sequence and histology. The delta features were calculated and compared between timepoints.Results:The robust T2W texture and T2 map first-order features demonstrated the greatest sensitivity and reproducibility in capturing temporal peritumoral brain zone changes, distinguishing between time points used by K-mean.Conclusions:Delta radiomics offers added value over static analysis for early monitoring of peritumoral brain zone changes. The first-order and texture features of radiomics could serve as robust biomarkers of peritumoral invasion. These findings highlight the potential of longitudinal MRI-based radiomics to characterize glioblastoma progression and inform translational research.

摘要翻译： 

背景/目的：胶质母细胞瘤（GBM）是一种侵袭性原发性脑肿瘤，其特征是弥漫性浸润周围脑组织。瘤周区域在影像学上常表现为正常，但存在微观浸润。虽然基于灌注的研究（如动脉自旋标记）已对该区域进行了分析，但纵向影像组学监测仍有限。本研究在GBM小鼠模型中利用多参数MRI（mpMRI）探讨delta影像组学，以追踪瘤周随时间发生的细微变化。 方法：在9只裸鼠中建立G7 GBM异种移植模型，在植入后第9周和第12周使用MRI（T1W、T2W、T2 mapping、DWI-ADC、FA和ASL）和共配准组织病理学（H&E、HLA染色）进行成像。手动分割肿瘤和瘤周区域，并从每个序列和组织学中提取107个影像组学特征（形状、一阶、纹理）。计算并比较不同时间点间的delta特征。 结果：稳健的T2W纹理特征和T2 mapping一阶特征在捕捉瘤周脑区随时间变化方面表现出最高的敏感性和可重复性，并通过K均值聚类区分了不同时间点。 结论：对于早期监测瘤周脑区变化，delta影像组学相比静态分析具有附加价值。影像组学的一阶和纹理特征可作为瘤周浸润的稳健生物标志物。这些发现凸显了基于纵向MRI的影像组学在表征胶质母细胞瘤进展和指导转化研究方面的潜力。

原文链接：

Using Delta MRI-Based Radiomics for Monitoring Early Peri-Tumoral Changes in a Mouse Model of Glioblastoma: Primary Study