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利用纵向生理 MRI 分析肿瘤生境,预测脑转移立体定向放射外科治疗后的肿瘤复发。

Tumor Habitat Analysis Using Longitudinal Physiological MRI to Predict Tumor Recurrence After Stereotactic Radiosurgery for Brain Metastasis.

机构信息

Department of Radiology, Ajou University School of Medicine, Suwon, Korea.

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.

出版信息

Korean J Radiol. 2023 Mar;24(3):235-246. doi: 10.3348/kjr.2022.0492. Epub 2023 Feb 6.

Abstract

OBJECTIVE

It is difficult to predict the treatment response of tissue after stereotactic radiosurgery (SRS) because radiation necrosis (RN) and tumor recurrence can coexist. Our study aimed to predict tumor recurrence, including the recurrence site, after SRS of brain metastasis by performing a longitudinal tumor habitat analysis.

MATERIALS AND METHODS

Two consecutive multiparametric MRI examinations were performed for 83 adults (mean age, 59.0 years; range, 27-82 years; 44 male and 39 female) with 103 SRS-treated brain metastases. Tumor habitats based on contrast-enhanced T1- and T2-weighted images (structural habitats) and those based on the apparent diffusion coefficient (ADC) and cerebral blood volume (CBV) images (physiological habitats) were defined using k-means voxel-wise clustering. The reference standard was based on the pathology or Response Assessment in Neuro-Oncologycriteria for brain metastases (RANO-BM). The association between parameters of single-time or longitudinal tumor habitat and the time to recurrence and the site of recurrence were evaluated using the Cox proportional hazards regression analysis and Dice similarity coefficient, respectively.

RESULTS

The mean interval between the two MRI examinations was 99 days. The longitudinal analysis showed that an increase in the hypovascular cellular habitat (low ADC and low CBV) was associated with the risk of recurrence (hazard ratio [HR], 2.68; 95% confidence interval [CI], 1.46-4.91; = 0.001). During the single-time analysis, a solid low-enhancing habitat (low T2 and low contrast-enhanced T1 signal) was associated with the risk of recurrence (HR, 1.54; 95% CI, 1.01-2.35; = 0.045). A hypovascular cellular habitat was indicative of the future recurrence site (Dice similarity coefficient = 0.423).

CONCLUSION

After SRS of brain metastases, an increased hypovascular cellular habitat observed using a longitudinal MRI analysis was associated with the risk of recurrence (i.e., treatment resistance) and was indicative of recurrence site. A tumor habitat analysis may help guide future treatments for patients with brain metastases.

摘要

目的

由于放射性坏死(RN)和肿瘤复发可能同时存在,因此难以预测立体定向放射外科(SRS)后组织的治疗反应。我们的研究旨在通过进行纵向肿瘤栖息地分析,预测脑转移 SRS 后的肿瘤复发,包括复发部位。

材料和方法

对 83 名成人(平均年龄 59.0 岁;范围 27-82 岁;44 名男性和 39 名女性)的 103 例 SRS 治疗的脑转移瘤进行了两次连续的多参数 MRI 检查。基于对比增强 T1 和 T2 加权图像(结构栖息地)和表观扩散系数(ADC)和脑血容量(CBV)图像(生理栖息地)的肿瘤栖息地是使用 k-均值体素聚类定义的。参考标准基于脑转移瘤的病理学或神经肿瘤学反应评估标准(RANO-BM)。使用 Cox 比例风险回归分析和 Dice 相似系数分别评估单次或纵向肿瘤栖息地参数与复发时间和复发部位之间的关系。

结果

两次 MRI 检查之间的平均间隔为 99 天。纵向分析表明,低血管细胞栖息地(低 ADC 和低 CBV)的增加与复发风险相关(风险比 [HR],2.68;95%置信区间 [CI],1.46-4.91; = 0.001)。在单次分析中,实体低增强栖息地(低 T2 和低对比增强 T1 信号)与复发风险相关(HR,1.54;95%CI,1.01-2.35; = 0.045)。低血管细胞栖息地提示未来的复发部位(Dice 相似系数=0.423)。

结论

脑转移 SRS 后,纵向 MRI 分析中观察到的低血管细胞栖息地增加与复发风险(即治疗抵抗)相关,并提示复发部位。肿瘤栖息地分析可能有助于指导脑转移患者的未来治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fe/9971843/b3a1a5f82090/kjr-24-235-g001.jpg

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