基于动态磁敏感对比 MRI 的术前血管异质性预测局部复发性高级别胶质瘤的空间模式。
Preoperative vascular heterogeneity based on dynamic susceptibility contrast MRI in predicting spatial pattern of locally recurrent high-grade gliomas.
机构信息
Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Chongqing Clinical Research Center of Imaging and Nuclear Medicine, Chongqing, China.
出版信息
Eur Radiol. 2024 Mar;34(3):1982-1993. doi: 10.1007/s00330-023-10149-6. Epub 2023 Sep 2.
OBJECTIVES
To investigate if spatial recurrence pattern is associated with patient prognosis, and whether MRI vascular habitats can predict spatial pattern.
METHODS
In this retrospective study, 69 patients with locally recurrent high-grade gliomas (HGGs) were included. The cohort was divided into intra-resection cavity recurrence (ICR) and extra-resection cavity recurrence (ECR) patterns, according to the distance between the location of the recurrent tumor and the resection cavity or surgical region. Four vascular habitats, high angiogenic tumor, low angiogenic tumor, infiltrated peripheral edema, and vasogenic peripheral edema, were segmented and vascular heterogeneity parameters were analyzed. The survival and diagnostic performance under different spatial recurrence patterns were analyzed by Kaplan-Meier and ROC. A nomogram model was constructed by regression analysis and validated by bootstrapping technique.
RESULTS
Progression-free survival (PFS) and overall survival (OS) were longer for ICR (n = 32) than those for ECR (n = 37) (median PFS: 8 vs. 5 months, median OS: 17 vs. 13 months, p < 0.05). MRI vascular habitat analyses showed ECR had higher median relative cerebral blood volume (rCBV) at each habitat than ICR (all p < 0.01). The rCBV at IPE had good diagnostic performance (AUC: 0.727, 95%CI: 0.607, 0.828). The AUC of the nomogram based on MRI vascular habitats and clinical factors was 0.834 (95%CI: 0.726, 0.913) and was confirmed as 0.833 (95%CI: 0.830, 0.836) by bootstrapping validation.
CONCLUSIONS
The spatial pattern of locally recurrent HGGs is associated with prognosis. MRI vascular heterogeneity parameter could be used as a non-invasive imaging marker to predict spatial recurrence pattern.
CLINICAL RELEVANCE STATEMENT
Vascular heterogeneity parameters based on MRI vascular habitat analyses can non-invasively predict the spatial patterns of locally recurrent high-grade gliomas, providing a new diagnostic basis for clinicians to develop the extent of surgical resection and postoperative radiotherapy planning.
KEY POINTS
• Intra-resection cavity pattern was associated with longer progression-free survival and overall survival in locally recurrent high-grade gliomas. • Higher vascular heterogeneities in extra-resection cavity recurrence than in intra-resection cavity recurrence and the vascular heterogeneity parameters had good diagnostic performance in discriminating spatial recurrence pattern. • A nomogram model based on MRI vascular habitats and clinical factors had good performance in predicting spatial recurrence pattern.
目的
研究空间复发模式是否与患者预后相关,以及 MRI 血管生境是否可以预测空间模式。
方法
在这项回顾性研究中,纳入了 69 例局部复发性高级别胶质瘤(HGG)患者。根据复发性肿瘤与切除腔或手术区域之间的距离,将队列分为瘤腔内部复发(ICR)和瘤腔外部复发(ECR)模式。分割四个血管生境(高血管性肿瘤、低血管性肿瘤、浸润性周边水肿和血管源性周边水肿),并分析血管异质性参数。通过 Kaplan-Meier 和 ROC 分析不同空间复发模式下的生存和诊断性能。通过回归分析构建列线图模型,并通过自举技术进行验证。
结果
ICR(n=32)的无进展生存期(PFS)和总生存期(OS)长于 ECR(n=37)(中位 PFS:8 个月 vs. 5 个月,中位 OS:17 个月 vs. 13 个月,p<0.05)。MRI 血管生境分析显示,ECR 各生境的平均相对脑血容量(rCBV)均高于 ICR(均 p<0.01)。IPE 处的 rCBV 具有良好的诊断性能(AUC:0.727,95%CI:0.607,0.828)。基于 MRI 血管生境和临床因素的列线图的 AUC 为 0.834(95%CI:0.726,0.913),并通过自举验证确认为 0.833(95%CI:0.830,0.836)。
结论
局部复发性 HGG 的空间模式与预后相关。MRI 血管异质性参数可作为一种无创影像学标志物,用于预测空间复发模式。
临床相关性声明
基于 MRI 血管生境分析的血管异质性参数可无创预测局部复发性高级别胶质瘤的空间模式,为临床医生制定更广泛的手术切除和术后放疗计划提供新的诊断依据。
关键点
局部复发性高级别胶质瘤中,瘤腔内部复发模式与更长的无进展生存期和总生存期相关。
瘤腔外部复发的血管异质性高于瘤腔内部复发,血管异质性参数在区分空间复发模式方面具有良好的诊断性能。
基于 MRI 血管生境和临床因素的列线图模型在预测空间复发模式方面具有良好的性能。