EXCHANGE TIME FROM TIME-DEPENDENT DIFFUSION-WEIGHTED MRI AS A POTENTIAL BIOMARKER FOR TREATMENT RESPONSE IN HUMAN BRAIN METASTASIS

时间依赖性扩散加权磁共振成像中的交换时间作为人类脑转移瘤治疗反应的潜在生物标志物

阅读:1

Abstract

AIMS: Measurements of apparent water exchange time (τex) have been linked to progression of brain metastases in studies using dynamic-contrast-enhanced MRI. We used an alternative, time dependent diffusion-weighted MRI (dMRI), to infer τex without contrast agents by characterizing the diffusion time dependence of the kurtosis (K) of endogenous water molecules diffusing in brain tissue. In this study, we hypothesize that τex estimates from diffusional kurtosis time dependence may have the same sensitivity to tumour progression after treatment as the ‘Response assessment in neuro-oncology brain metastases (RANO-BM)’ criteria and examine the relation- ship between changes of τex in brain metastasis after stereotactic radiosurgery (SRS) and long term treatment response in a cohort of patients with different primary cancers. METHODS: 16 patients with brain metastases were scanned at baseline, 1-month and 3-month timepoints. Patients received SRS between baseline and 1-month. τex was calculated for each patient at each timepoint. Treatment response was assessed using RANO-BM criteria. RESULTS: In the good treatment response group (RANO-BM=1,2), the percentage change in τex from baseline (Δτex(%)) at 1 and 3 months was negative for all but one patient. In the poor treatment response group (RANO-BM=3,4), Δτex(%) at 1 and 3 months was positive, except for one patient. All patients whose cause of death was not “Intracranial progression” had a negative Δτex(%) at 1 or 3 months except for one patient. All the others had a positive Δτex(%) at 1 or 3 months CONCLUSION: Except for two patients with different clinical factors (necrosis/immunotherapy), Δτex(%) was associated with the RANO-BM criteria. Long term treatment response was associated with Δτex(%) at 1 month. This suggests τex could help predict response to SRS. Our cohort was small and heterogeneous; future work will apply this analysis to larger groups.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。